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    <title>Ollama — The AI Toolchain</title>
    <link>https://aitoolchain.io/tools/ollama</link>
    <description>New releases and features in Ollama, tracked by The AI Toolchain.</description>
    <language>en</language>
    <lastBuildDate>Wed, 26 Aug 2026 18:09:57 GMT</lastBuildDate>
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    <item>
      <title>Ollama v0.33.1</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.33.1</link>
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      <pubDate>Wed, 26 Aug 2026 18:09:57 GMT</pubDate>
      <description>Ollama v0.33.1 adds structured output and Qwen3.8 Flash Next on the MLX backend, plus OLLAMA_HOST-aware Pi configuration.
• Adds structured output support to the MLX runner, enabling constrained-format responses on Apple Silicon via the MLX backend.
• Adds support for the Qwen3.8 Flash Next model on the MLX backend.</description>
    </item>
    <item>
      <title>Ollama v0.33.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.33.0</link>
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      <pubDate>Fri, 21 Aug 2026 22:52:46 GMT</pubDate>
      <description>Ollama v0.33.0 adds Claude Desktop integration, an &apos;Apps&apos; connect experience, and smarter KV-cache-preserving prefill restore points.
• Adds Claude Desktop integration on macOS: connect Ollama as a third-party gateway so Claude Desktop can use local Ollama models, with model selection, auto-mode, and install assistance from the menu bar.
• Disables Claude Code&apos;s &apos;tokens left&apos; token-countdown system message injection to preserve the KV cache across requests.</description>
    </item>
    <item>
      <title>Ollama v0.32.15</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.15</link>
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      <pubDate>Wed, 19 Aug 2026 17:25:16 GMT</pubDate>
      <description>Ollama v0.32.15 adds a desktop onboarding flow and a model metadata cache that cuts time-to-first-token roughly in half.
• Adds a new desktop onboarding flow on first launch, guiding users through sign-in, local-only, or skip options before presenting the `ollama` command.</description>
    </item>
    <item>
      <title>Ollama v0.32.14</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.14</link>
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      <pubDate>Sat, 15 Aug 2026 19:41:23 GMT</pubDate>
      <description>Ollama v0.32.14 adds WebP image support and more flexible system message placement for Qwen models.
• Adds WebP image transcoding for llama-server, enabling WebP inputs to be used in multimodal prompts.
• Qwen renderer now tolerates system messages in non-leading positions, allowing more flexible conversation structures.</description>
    </item>
    <item>
      <title>Ollama v0.32.14</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.14</link>
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      <pubDate>Sat, 15 Aug 2026 19:41:23 GMT</pubDate>
      <description>Ollama v0.32.14 adds WebP image transcoding and robust Qwen system-message handling.
• Automatically transcodes WebP image payloads to PNG before forwarding to llama-server, enabling vision model requests with WebP inputs (previously unsupported).
• Qwen renderer now passes non-leading system messages through the raw ChatML path instead of returning an HTTP 500, supporting coding clients that inject runtime system prompts mid-conversation.</description>
    </item>
    <item>
      <title>Ollama v0.32.13</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.13</link>
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      <pubDate>Fri, 14 Aug 2026 19:16:07 GMT</pubDate>
      <description>Ollama v0.32.13 adds Qwen3.8 model support including developer instructions and OpenAI-compatible agent compatibility.
• Adds Qwen3.8 model support with a dedicated renderer handling reasoning-effort and preserved-thinking chat template semantics.
• Supports developer-role instructions for Qwen3.8, folding leading system/developer prefixes into a single system turn so OpenAI-compatible coding agents (which commonly send `developer` role messages) work without modification.</description>
    </item>
    <item>
      <title>Ollama v0.32.13</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.13</link>
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      <pubDate>Fri, 14 Aug 2026 19:16:07 GMT</pubDate>
      <description>Ollama v0.32.13 adds Qwen3.8 model support including developer instructions and OpenAI-compatible agent compatibility.
• Adds Qwen3.8 model support with a dedicated renderer handling reasoning-effort and preserved-thinking chat template semantics.
• Supports developer-role instructions for Qwen3.8, folding leading system/developer prefixes into a single system turn so OpenAI-compatible coding agents (which commonly send `developer` role messages) work without modification.</description>
    </item>
    <item>
      <title>Ollama v0.32.12</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.12</link>
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      <pubDate>Fri, 14 Aug 2026 16:37:00 GMT</pubDate>
      <description>Ollama v0.32.12 adds Qwen3.8 27B support with an Apple Silicon MLX-optimized variant.
• Adds `qwen3.8:27b` model, runnable via `ollama run qwen3.8:27b`, targeting coding, professional work, research, and long-horizon agentic tasks.
• Adds `qwen3.8:27b-mlx`, an Apple Silicon-optimized MLX variant of Qwen3.8 27B, tuned for maximum performance and output quality in repeated tasks and coding agents.</description>
    </item>
    <item>
      <title>Ollama v0.32.12</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.12</link>
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      <pubDate>Fri, 14 Aug 2026 16:37:00 GMT</pubDate>
      <description>Ollama v0.32.12 adds Qwen3.8 27B support with an Apple Silicon MLX-optimized variant.
• Adds `qwen3.8:27b-mlx` model tag, an MLX-optimized build of Qwen3.8 27B tuned for maximum performance and output quality on Apple Silicon devices.
• Adds `qwen3.8:27b` model to the Ollama library, bringing Qwen3.8 27B capabilities for coding, professional work, research, and long-horizon agentic tasks.</description>
    </item>
    <item>
      <title>Ollama v0.32.11</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.11</link>
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      <pubDate>Fri, 14 Aug 2026 01:22:12 GMT</pubDate>
      <description>Ollama v0.32.11 adds DeepSeek Harness and Meta Muse Code support, plus web search in the Responses API.
• Adds `ollama launch dsh` support for DeepSeek Harness, DeepSeek&apos;s open-source agent harness.
• Adds `ollama launch muse` support for Muse Code, Meta&apos;s agentic coding CLI.
• The OpenAI-compatible Responses API now supports web search.</description>
    </item>
    <item>
      <title>Ollama v0.32.11</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.11</link>
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      <pubDate>Fri, 14 Aug 2026 01:22:12 GMT</pubDate>
      <description>Ollama v0.32.11 adds DeepSeek Harness and Muse Code launch integrations plus web search in the OpenAI Responses API.
• Adds `ollama launch dsh` to launch DeepSeek Harness, DeepSeek&apos;s open-source agent harness.
• Adds `ollama launch muse` to launch Muse Code, Meta&apos;s agentic coding CLI.
• Adds support for the Nemotron 3.5 prompt layout, selecting the 3.5 parser and renderer from its checkpoint template.</description>
    </item>
    <item>
      <title>Ollama v0.32.9</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.9</link>
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      <pubDate>Tue, 11 Aug 2026 13:23:33 GMT</pubDate>
      <description>Ollama v0.32.9 adds NVIDIA Nemotron 3.5 Lightning, a 30B MoE model with 3B active parameters for always-on agents.
• Adds `nemotron-3.5-lightning` model support via `ollama run nemotron-3.5-lightning` — a 30B mixture-of-experts model with 3B active parameters designed for always-on agent harnesses.
• Adds the Nemotron 3 model architecture to Ollama&apos;s backend, enabling the new model family.</description>
    </item>
    <item>
      <title>Ollama v0.32.9</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.9</link>
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      <pubDate>Tue, 11 Aug 2026 13:23:33 GMT</pubDate>
      <description>Ollama v0.32.9 adds NVIDIA Nemotron 3.5 Lightning (30B MoE) with built-in speculative decoding and MLX support for Nemotron 3 Nano Omni.
• Adds `nemotron-3.5-lightning`, a 30B mixture-of-experts model with 3B active parameters, runnable via `ollama run nemotron-3.5-lightning`.
• Adds the Nemotron 3 architecture backend with MLX support for Nemotron 3 Nano Omni, including Mamba2/recurrent layers, MoE routing, and quantized NVFP4/MXFP8 expert paths.
• Serves the Nemotron model&apos;s multi-token prediction head as a built-in self-draft speculator, enabling speculative decoding without a separate draft model.</description>
    </item>
    <item>
      <title>Ollama v0.32.8</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.8</link>
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      <pubDate>Mon, 10 Aug 2026 23:49:29 GMT</pubDate>
      <description>Ollama v0.32.8 adds Muse Glimmer model support across NVIDIA, AMD, and additional platforms.
• Adds `muse-glimmer` model support on NVIDIA, AMD, and additional platforms (Apple Silicon was supported since v0.32.7), enabling local coding-agent and long-running personal-assistant workloads.
• Supports running `muse-glimmer` with `ollama launch claude --model muse-glimmer` to power Claude Code locally.
• Supports running `muse-glimmer` with `ollama launch pi --model muse-glimmer` for a lighter-weight coding-agent workflow.
• Supports running `muse-glimmer` with `ollama launch openclaw --model muse-glimmer` and `ollama launch hermes --model muse-glimmer` for personal-assistant frameworks.</description>
    </item>
    <item>
      <title>Ollama v0.32.8</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.8</link>
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      <pubDate>Mon, 10 Aug 2026 23:49:29 GMT</pubDate>
      <description>Ollama v0.32.8 adds Muse Glimmer model support across NVIDIA, AMD, and additional platforms.
• Adds `muse-glimmer` model, runnable via `ollama run muse-glimmer`, supporting coding agent integrations (Claude Code, Codex, Pi) and personal assistant frameworks (OpenClaw, Hermes) on all platforms including NVIDIA and AMD GPUs.
• Adds `ollama launch claude --model muse-glimmer` to wire Muse Glimmer directly into Claude Code as a local backend.
• Adds `ollama launch openclaw --model muse-glimmer` and `ollama launch hermes --model muse-glimmer` to power personal assistant frameworks locally with Muse Glimmer.</description>
    </item>
    <item>
      <title>Ollama v0.32.7</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.7</link>
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      <pubDate>Mon, 10 Aug 2026 10:49:15 GMT</pubDate>
      <description>Ollama v0.32.7 adds Muse Glimmer 30B via MLX engine on Apple Silicon, with DFlash and image input support.
• Adds `muse-glimmer:30b-mlx` model tag, enabling `ollama run muse-glimmer:30b-mlx` to download and run the 30B multimodal Muse Glimmer model locally on Apple Silicon via Ollama&apos;s MLX engine.
• Adds `ollama launch` subcommand to start coding agent and personal assistant frameworks (e.g. `claude`, `pi`, `openclaw`, `hermes`) directly against a local model via `--model`.
• MLX engine on Apple Silicon gains DFlash support and image input for Muse Glimmer as of this release.</description>
    </item>
    <item>
      <title>Ollama v0.32.7</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.7</link>
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      <pubDate>Mon, 10 Aug 2026 10:49:15 GMT</pubDate>
      <description>Ollama v0.32.7 adds Muse Glimmer 30B multimodal support with DFlash and image input on Apple Silicon MLX engine.
• Adds `muse-glimmer:30b-mlx` model tag, enabling `ollama run muse-glimmer:30b-mlx` to run Meta&apos;s Muse Glimmer 30B multimodal model locally via the MLX engine on Apple Silicon.
• Adds `ollama launch claude --model muse-glimmer:30b-mlx`, `ollama launch pi --model muse-glimmer:30b-mlx`, `ollama launch openclaw --model muse-glimmer:30b-mlx`, and `ollama launch hermes --model muse-glimmer:30b-mlx` to wire Muse Glimmer into Claude Code, Pi, OpenClaw, and Hermes agent frameworks.
• Adds DFlash block-diffusion draft model support to the MLX runner, enabling speculative decoding on Apple Silicon for Muse Glimmer.
• Adds image input support to the MLX runner for Muse Glimmer (and Qwen3.5), enabling multimodal prompts on Apple Silicon.
• Adds `ctrl+o` keyboard shortcut to the agent TUI to toggle completed thinking trace details inline.
• Streams live thinking deltas in the agent TUI beneath a `Thinking ↓ N tokens` row, collapsing to a persistent `Thought` row when a response or tool call begins.
• Expands namespace tool declarations in the OpenAI Responses API, unfolding nested `tools` arrays into namespace-qualified flat function names so namespaced tool calls are fully declared to the model.</description>
    </item>
    <item>
      <title>Ollama v0.32.6</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.6</link>
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      <pubDate>Tue, 04 Aug 2026 18:49:20 GMT</pubDate>
      <description>Ollama v0.32.6 brings automatic speculative decoding for Qwen3.5 on Apple GPUs and OpenAI-compatible streaming fixes.
• Adds `stream_options.include_usage` support to `/v1/chat/completions` streaming, now matching OpenAI&apos;s wire format: `role` only on the first chunk, `finish_reason` on its own trailing chunk, and usage in a separate chunk.
• Adds `kimi-k3:cloud` tag so `ollama run kimi-k3` can pull cloud-only models that publish no default tag, instead of failing.
• Qwen3.5 on Apple GPUs now automatically uses the model&apos;s MTP head for speculative decoding via the MLX engine, improving inference speed.
Breaking changes:
• Experimental image generation has been temporarily removed; users must continue using v0.32.5 for image generation support.</description>
    </item>
    <item>
      <title>Ollama v0.32.6</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.6</link>
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      <pubDate>Tue, 04 Aug 2026 18:49:20 GMT</pubDate>
      <description>Ollama v0.32.6 adds OpenAI-compatible streaming, cloud-model fallback, and automatic speculative decoding for Qwen3.5 on Apple GPUs.
• Adds `stream_options.include_usage` support to `/v1/chat/completions` streaming, now matching OpenAI&apos;s wire format: `role` only on the first chunk, `finish_reason` on its own trailing chunk, and usage in a separate chunk.
• Truncated responses from `/v1/chat/completions` now correctly report `finish_reason: &quot;length&quot;` instead of `&quot;finish_reason: &quot;tool_calls&quot;`.
• Qwen3.5 inference on Apple GPUs is faster: the MLX engine now automatically uses the model&apos;s MTP head for speculative decoding.
• Experimental image generation has been removed; users needing it should remain on v0.32.5.
Breaking changes:
• Experimental image generation support is removed in v0.32.6. Workloads depending on it must stay on v0.32.5.</description>
    </item>
    <item>
      <title>Ollama v0.32.4</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.4</link>
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      <pubDate>Sat, 25 Jul 2026 02:22:12 GMT</pubDate>
      <description>Ollama v0.32.4 adds Laguna Apple GPU support and improves speculative-decoding draft quantization.
• Adds support for the Laguna architecture on Apple GPUs via the MLX engine.
• Quantizes draft-model output heads at the requested type when creating speculative-decoding drafts.</description>
    </item>
    <item>
      <title>Ollama v0.32.4</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.4</link>
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      <pubDate>Sat, 25 Jul 2026 02:22:12 GMT</pubDate>
      <description>Ollama v0.32.4 adds Laguna MLX support with memory residency, smarter speculative-decoding quantization, and agent skill permissions.
• Quantizes draft-model output heads at the requested quantization type when creating speculative-decoding drafts, aligning draft and base model precision.
• Adds permission/approval flow for model-initiated `skill` tool invocations in the agent TUI, while preserving direct user slash-skill activation without a prompt.
• Adds `/system` prompt inspection and on/off toggle commands to the agent TUI, with cache-impact warning and completions while typing.</description>
    </item>
    <item>
      <title>Ollama v0.32.3</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.3</link>
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      <pubDate>Thu, 23 Jul 2026 00:44:28 GMT</pubDate>
      <description>Ollama v0.32.3 adds CUDA on Windows ARM64, B200 GPU support, Laguna 2.1 model capabilities, and restored Claude Code Channels.
• Adds CUDA support on Windows ARM64, enabling GPU-accelerated inference on ARM-based Windows devices.
• Adds B200 GPU support via CUDA 12 (compute capability 10.0 on Linux).
• Reduces memory use on Linux CUDA and ROCm iGPUs through Direct I/O (`dio`) enablement.
• Adds chat, thinking, and tool calling support for Laguna 2.1 models, including a Metal inference fix.
• Updates the MLX and llama.cpp engines.</description>
    </item>
    <item>
      <title>Ollama v0.32.3</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.3</link>
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      <pubDate>Thu, 23 Jul 2026 00:44:28 GMT</pubDate>
      <description>Ollama v0.32.3 adds CUDA on Windows ARM64, B200 GPU support, Laguna 2.1 model capabilities, and restored Claude Code Channels.
• Adds CUDA support on Windows ARM64, enabling GPU-accelerated inference on ARM-based Windows devices.
• Adds B200 GPU support via CUDA 12 (compute capability 10.0 on Linux).
• Reduces memory use on Linux CUDA and ROCm iGPUs through Direct I/O (`dio`) enablement.
• Adds chat, thinking, and tool calling support for Laguna 2.1 models, including a Metal inference fix.
• Updates the MLX and llama.cpp engines.</description>
    </item>
    <item>
      <title>Ollama v0.32.1</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.1</link>
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      <pubDate>Thu, 16 Jul 2026 03:27:23 GMT</pubDate>
      <description>Ollama v0.32.1 improves Gemma 4 tool calling, MLX timeout support, and agent context awareness.
• MLX text model loading now respects the `OLLAMA_LOAD_TIMEOUT` environment variable, enabling timeout control for MLX backends.
• The interactive agent now receives the current working directory, giving models better project context during sessions.
• Agent web search and fetch now prompt users to run `ollama signin` when authentication is required.
• Improved Gemma 4 tool calling and multi-turn reasoning, including more reliable tool-response continuations.</description>
    </item>
    <item>
      <title>Ollama v0.32.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.32.0</link>
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      <pubDate>Sat, 11 Jul 2026 01:03:46 GMT</pubDate>
      <description>Ollama v0.32.0 launches an interactive agent experience and renames the ChatGPT integration.
• New interactive agent experience: running `ollama` with no arguments now launches an agent for coding, web search, and delegating work.
• Simplified `ollama launch` menu now surfaces only the most popular integrations; all others remain accessible via `ollama launch` directly.
• Adds deprecation warnings before launching older agent models (CodeLlama, Qwen2.5(-coder), Llama 3.x, Mistral, StarCoder, base DeepSeek-R1 tags).</description>
    </item>
    <item>
      <title>Ollama v0.31.2</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.31.2</link>
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      <pubDate>Mon, 06 Jul 2026 22:28:22 GMT</pubDate>
      <description>Ollama v0.31.2 enables flash attention on older NVIDIA GPUs and iGPU vision model offloading.
• Enables flash attention on older NVIDIA GPUs with compute capability 6.x, unlocking faster inference on Pascal-generation hardware.
• iGPU can now offload vision models with padding to fit available memory, expanding multimodal model support on integrated graphics.
• `ollama launch` for Claude Code now disables telemetry by default.</description>
    </item>
    <item>
      <title>Ollama v0.31.1</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.31.1</link>
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      <pubDate>Tue, 30 Jun 2026 22:10:17 GMT</pubDate>
      <description>Gemma 4 on Apple Silicon now generates tokens ~90% faster via automatic multi-token prediction (MTP) — no config needed.
• Enables multi-token prediction (MTP) for Gemma 4 on Apple Silicon, delivering ~90% faster token generation on average with no configuration or output changes.</description>
    </item>
    <item>
      <title>Ollama v0.30.11</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.30.11</link>
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      <pubDate>Thu, 25 Jun 2026 01:52:05 GMT</pubDate>
      <description>Ollama v0.30.11 adds thinking capability detection, auto-install for Claude Code and opencode, and broader CUDA/GPU support.
• Adds thinking capability detection for opencode integration.
• Auto-installs Claude Code when missing, streamlining AI coding assistant setup.
• Auto-installs opencode when missing, reducing manual setup steps.
• Detects model drift when the Codex App UI switches models.
• Adds sm_86 GPU architecture support to the CUDA v13 Windows preset.
• Adds Compute Capability 87 (CC 87) support for CUDA v13 on Jetson devices.
• Uses the host Vulkan loader on Windows for improved GPU compatibility.
• Sizes multimodal projector (mmproj) offload based on projector memory.
• Aligns the generate endpoint with native chat templates for more consistent output.
• Unifies and tunes speculative decoding on the MLX runner.</description>
    </item>
    <item>
      <title>Ollama v0.30.10</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.30.10</link>
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      <pubDate>Wed, 17 Jun 2026 16:22:02 GMT</pubDate>
      <description>Ollama v0.30.10 brings Command A and North family models to Apple Silicon via the MLX engine.
• Supports Command A and North family models running on Apple Silicon using the MLX engine.</description>
    </item>
    <item>
      <title>Ollama v0.30.9</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.30.9</link>
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      <pubDate>Mon, 15 Jun 2026 19:55:07 GMT</pubDate>
      <description>Ollama v0.30.9 adds Cohere2Moe architecture support and context-window overflow error reporting.
• Supports the Cohere2Moe model architecture for running Cohere mixture-of-experts models locally.
• Returns an error when a single message exceeds the current context window, enabling clearer failure handling in pipelines.</description>
    </item>
    <item>
      <title>Ollama v0.30.7</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.30.7</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.30.7</guid>
      <pubDate>Sun, 07 Jun 2026 21:51:48 GMT</pubDate>
      <description>Ollama v0.30.7 adds `ollama launch hermes-desktop` for a native visual interface to the Hermes agent.
• Adds `ollama launch hermes-desktop` to spin up Hermes Desktop, a native UI for managing Hermes agent conversations, integrations, and messaging apps.
• OpenAI-compatible API models list now aligns with available model tags, improving API accuracy.</description>
    </item>
    <item>
      <title>Ollama v0.30.6</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.30.6</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.30.6</guid>
      <pubDate>Fri, 05 Jun 2026 20:00:18 GMT</pubDate>
      <description>Ollama v0.30.6 adds Gemma 4 QAT models, Oh My Pi IDE agent integration, and improved Apple Silicon embedding quantization.
• Adds Gemma 4 QAT model variants (`gemma4:*-qat` tags) with quantization-aware training to reduce memory requirements and boost on-device performance.
• New `ollama launch omp` command integrates with Oh My Pi, an AI coding agent with IDE integration.
• MLX embedding layers now use NVFP4 global scale for improved quantization quality on Apple Silicon.</description>
    </item>
    <item>
      <title>Ollama v0.30.5</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.30.5</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.30.5</guid>
      <pubDate>Thu, 04 Jun 2026 17:00:37 GMT</pubDate>
      <description>ollama launch hermes-desktop skips rebuilds on installed apps; native Windows support added for ollama launch hermes.
• Supports skipping rebuild in `ollama launch hermes-desktop` when a packaged desktop app is already installed.
• Enables native Windows installs via the Hermes PowerShell installer with `ollama launch hermes`.</description>
    </item>
    <item>
      <title>Ollama v0.30.4</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.30.4</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.30.4</guid>
      <pubDate>Wed, 03 Jun 2026 18:48:32 GMT</pubDate>
      <description>Ollama v0.30.4 adds NVIDIA Nemotron-3-Ultra and improves MLX Modelfile REQUIRES support for experimental model creation.
• New model: Nemotron-3-Ultra, NVIDIA&apos;s model optimized for high-throughput reasoning and long-running agent workflows.
• `ollama create --experimental` now respects the `REQUIRES` directive in Modelfiles for MLX-based models.</description>
    </item>
    <item>
      <title>Ollama v0.30.3</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.30.3</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.30.3</guid>
      <pubDate>Wed, 03 Jun 2026 16:35:43 GMT</pubDate>
      <description>Ollama v0.30.3 adds support for running the Gemma 4 12B multimodal model locally.
• Supports Gemma 4 12B, a multimodal model with advanced reasoning designed to run on consumer laptops.</description>
    </item>
    <item>
      <title>Ollama v0.30.2</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.30.2</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.30.2</guid>
      <pubDate>Wed, 03 Jun 2026 00:37:18 GMT</pubDate>
      <description>Ollama v0.30.2 adds Qwen Code support, Laguna architecture backend, and Radeon 8060S GPU enablement.
• Adds Qwen Code model support via `ollama launch`, including guided Cline CLI installation when missing.
• Adds llama.cpp backend support for Poolside&apos;s Laguna model architecture.
• Enables Radeon 8060S integrated GPUs by default.
• Includes template details in logs to aid troubleshooting of model prompts.
• llama.cpp backend now includes cached prompt tokens in token accounting, improving usage reporting for prompt-cache-hit requests.</description>
    </item>
    <item>
      <title>Ollama v0.24.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.24.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.24.0</guid>
      <pubDate>Thu, 14 May 2026 02:24:24 GMT</pubDate>
      <description>Ollama v0.24 launches Codex App support with built-in browser, review mode, and reworked MLX sampler.
• Adds `ollama launch codex-app` to run OpenAI&apos;s Codex desktop experience with parallel thread support, built-in worktree management, and git functionality.
• Codex App includes a built-in browser for loading local servers and annotating pages directly to request code changes.
• Codex App includes a Review mode for leaving inline comments and iterating on code without leaving the workspace.
• Supports `ollama launch codex-app --restore` to revert to a previous Codex App configuration.
• Reworked MLX sampler improves generation quality on Apple Silicon.</description>
    </item>
    <item>
      <title>Ollama v0.23.4</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.23.4</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.23.4</guid>
      <pubDate>Wed, 13 May 2026 20:40:22 GMT</pubDate>
      <description>ollama launch opencode now accepts image inputs when using vision models.
• Enables image input support for vision models via `ollama launch opencode`.</description>
    </item>
    <item>
      <title>Ollama v0.30.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.30.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.30.0</guid>
      <pubDate>Wed, 13 May 2026 14:32:54 GMT</pubDate>
      <description>Ollama v0.30.0 adds llama.cpp engine support, broader GGUF model compatibility, and faster NVIDIA performance.
• Adds llama.cpp engine as a backend, augmenting the existing MLX engine on Apple Silicon and extending support to a wider range of hardware.
• Supports GGUF-based models from Hugging Face directly, including user fine-tuned models.
• Delivers faster inference performance on NVIDIA hardware.
Breaking changes:
• `nomic-embed-text` now converts inputs to lowercase per the model card; prior Ollama versions incorrectly preserved mixed case, so embeddings generated by this model will differ from previous versions.</description>
    </item>
    <item>
      <title>Ollama v0.23.2</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.23.2</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.23.2</guid>
      <pubDate>Thu, 07 May 2026 20:23:10 GMT</pubDate>
      <description>Ollama v0.23.2 caches /api/show for ~6.7x faster model-load latency and refines launch integration management.
• Caches `/api/show` API responses, cutting median latency by ~6.7x and accelerating integrations such as VS Code.
• Adds `ollama launch claude-desktop --restore` command to return Claude Desktop to its normal state after integration removal.
• Improves backup workflow when managing `ollama launch` integrations.
• Delivers a cleaner image-generation layout in the MLX runner.
Breaking changes:
• `ollama launch` no longer includes Claude Desktop; the third-party integration has been removed because it was limited to Anthropic models.</description>
    </item>
    <item>
      <title>Ollama v0.23.1</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.23.1</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.23.1</guid>
      <pubDate>Tue, 05 May 2026 17:13:31 GMT</pubDate>
      <description>Ollama v0.23.1 adds Gemma 4 MTP speculative decoding on Mac, delivering 2x+ speed on 31B coding tasks.
• Supports Gemma 4 MTP (Multi-token Processing) speculative decoding on Macs via the MLX runner, enabling 2x+ speed gains for the Gemma 4 31B model on coding tasks.</description>
    </item>
    <item>
      <title>Ollama v0.23.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.23.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.23.0</guid>
      <pubDate>Sun, 03 May 2026 03:34:11 GMT</pubDate>
      <description>Ollama v0.23.0 adds `ollama launch claude-desktop` support and server-driven featured model recommendations.
• Adds `ollama launch claude-desktop` to launch Claude Desktop (including Claude Cowork and Claude Code) directly from Ollama.
• Surfaces featured models in the Ollama app via server-driven recommendations.</description>
    </item>
    <item>
      <title>Ollama v0.22.1</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.22.1</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.22.1</guid>
      <pubDate>Tue, 28 Apr 2026 20:30:57 GMT</pubDate>
      <description>Ollama v0.22.1 updates the Gemma 4 renderer for thinking and tool calling, and decouples model recommendations from app updates.
• Updated Gemma 4 renderer with improved thinking and tool calling support.
• Model recommendations now refresh independently, without requiring an Ollama update.
• Aligns the desktop app&apos;s launch page with `ollama launch` integrations.</description>
    </item>
    <item>
      <title>Ollama v0.22.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.22.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.22.0</guid>
      <pubDate>Tue, 28 Apr 2026 15:00:25 GMT</pubDate>
      <description>Ollama v0.22.0 adds NVIDIA Nemotron 3 Omni and Poolside Laguna XS.2 to the model library.
• Adds NVIDIA Nemotron 3 Omni multimodal model via `ollama run nemotron3`.
• Adds Poolside&apos;s Laguna XS.2, an open-weight coding-focused model, via `ollama run laguna-xs.2`.</description>
    </item>
    <item>
      <title>Ollama v0.21.3-rc0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.21.3-rc0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.21.3-rc0</guid>
      <pubDate>Fri, 24 Apr 2026 12:15:38 GMT</pubDate>
      <description>Ollama v0.21.3-rc0 adds `max` as a think value and maps OpenAI reasoning effort to think parameter.
• Accepts `&quot;max&quot;` as a valid value for the `think` parameter, enabling maximum reasoning depth in a single flag.
• Maps OpenAI Responses API `reasoning_effort` field to Ollama&apos;s `think` parameter, enabling OpenAI-compatible clients to control thinking mode.</description>
    </item>
    <item>
      <title>Ollama v0.21.2</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.21.2</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.21.2</guid>
      <pubDate>Thu, 23 Apr 2026 02:29:24 GMT</pubDate>
      <description>Ollama v0.21.2 bundles web search in OpenClaw and stabilizes the `ollama launch` onboarding flow.
• OpenClaw integration now includes Ollama&apos;s web search plugin out of the box, enabling web-augmented queries without manual plugin setup.</description>
    </item>
    <item>
      <title>Ollama v0.21.1</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.21.1</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.21.1</guid>
      <pubDate>Wed, 22 Apr 2026 00:18:02 GMT</pubDate>
      <description>Ollama v0.21.1 adds Kimi CLI integration, logprobs support in MLX, and faster MLX sampling.
• New `ollama launch` command installs and runs the Kimi CLI, enabling long-horizon agentic execution via a multi-agent system with models like `kimi-k2.6:cloud`.
• MLX runner now supports logprobs for compatible models.
• Faster MLX sampling via fused top-P and top-K in a single sort pass, with repeat penalties applied in the sampler.
• Improved MLX prompt tokenization by moving tokenization into request handler goroutines.
• GLM4 MoE Lite gains a performance improvement with a fused sigmoid router head.</description>
    </item>
    <item>
      <title>Ollama v0.21.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.21.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.21.0</guid>
      <pubDate>Thu, 16 Apr 2026 22:00:17 GMT</pubDate>
      <description>Ollama v0.21.0 adds Hermes Agent, GitHub Copilot CLI integration, and Gemma 4 on Apple Silicon MLX.
• Adds `ollama launch hermes` to run the Hermes Agent, which automatically creates skills to better serve research and engineering workflows.
• Adds GitHub Copilot CLI as a supported integration in `ollama launch`, configurable alongside other coding agents in a single command.
• Supports running Gemma 4 via the MLX backend on Apple Silicon, including a text-only MLX runtime.
• Adds mixed-precision quantization to the MLX backend.
• Expands MLX backend with new op wrappers: Conv2d, Pad, activations, trig, masked SDPA, and RoPE-with-freqs.
• `ollama launch opencode` now writes config inline instead of to a separate file, consistent with other integrations.</description>
    </item>
    <item>
      <title>Ollama v0.20.5</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.20.5</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.20.5</guid>
      <pubDate>Thu, 09 Apr 2026 18:11:20 GMT</pubDate>
      <description>Ollama v0.20.5 adds OpenClaw messaging-channel setup and flash attention for Gemma 4.
• New `ollama launch openclaw` command sets up OpenClaw channels, connecting WhatsApp, Telegram, Discord, and other messaging platforms.
• Enables flash attention for Gemma 4 on compatible GPUs.
• `ollama launch opencode` now auto-detects curl-based OpenCode installs at `~/.opencode/bin`.</description>
    </item>
    <item>
      <title>Ollama v0.20.3</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.20.3</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.20.3</guid>
      <pubDate>Tue, 07 Apr 2026 05:19:10 GMT</pubDate>
      <description>Ollama v0.20.3 adds latest models to the app and improves Gemma 4 tool calling support.
• Adds latest models to the Ollama App model library.
• Improves Gemma 4 tool calling capabilities.</description>
    </item>
    <item>
      <title>Ollama v0.20.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.20.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.20.0</guid>
      <pubDate>Thu, 02 Apr 2026 16:54:22 GMT</pubDate>
      <description>Ollama v0.20.0 adds Google Gemma 4 model family support across four sizes including MoE and dense variants.
• Supports Google Gemma 4 models in four sizes: E2B, E4B, 26B (Mixture of Experts with 4B active parameters), and 31B (Dense).
• Adds SentencePiece-style BPE tokenizer support.</description>
    </item>
    <item>
      <title>Ollama v0.19.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.19.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.19.0</guid>
      <pubDate>Fri, 27 Mar 2026 17:07:30 GMT</pubDate>
      <description>Ollama v0.19.0 powers Apple Silicon with MLX backend and adds web search to `ollama launch pi`.
• Adds MLX-powered inference backend for Apple Silicon, leveraging unified memory architecture for improved performance.
• Adds web search plugin to `ollama launch pi`, using Ollama&apos;s built-in web search capability.
• MLX runner now creates periodic snapshots during prompt processing, enabling more resilient long-context runs.</description>
    </item>
    <item>
      <title>Ollama v0.18.3</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.18.3</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.18.3</guid>
      <pubDate>Wed, 25 Mar 2026 03:00:57 GMT</pubDate>
      <description>Ollama v0.18.3 adds direct VS Code integration via GitHub Copilot, letting local models be used inside the editor.
• Enables VS Code GitHub Copilot integration so any local or cloud Ollama model can be selected directly inside Visual Studio Code.</description>
    </item>
    <item>
      <title>Ollama v0.18.1</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.18.1</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.18.1</guid>
      <pubDate>Tue, 17 Mar 2026 00:21:51 GMT</pubDate>
      <description>Ollama v0.18.1 adds web search/fetch for OpenClaw and headless mode for `ollama launch`.
• Adds web search and web fetch plugin for OpenClaw via `ollama launch openclaw`, enabling local and cloud models to retrieve and extract readable web content.
• Supports installing the web search capability directly into an existing OpenClaw setup with `openclaw plugins install @ollama/openclaw-web-search`.
• Adds non-interactive (headless) mode to `ollama launch` via `--yes` flag and required `--model` argument, enabling automated pipelines, CI/CD security checks, and scripted prompt evaluation.
• Enables OpenClaw subagent task execution in headless mode for automated multi-step workflows.</description>
    </item>
    <item>
      <title>Ollama v0.18.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.18.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.18.0</guid>
      <pubDate>Sat, 14 Mar 2026 00:37:49 GMT</pubDate>
      <description>Ollama v0.18 adds non-interactive launch support, Nemotron-3-Super, ROCm 7, and Ollama-as-OpenClaw provider
• Adds `--yes` flag to `ollama launch` for non-interactive/scripted use (GitHub Actions, CI pipelines, etc.)
• Adds Nemotron-3-Super (122B) model with strong reasoning and tool calling, runnable via cloud tag or locally with 96GB+ VRAM
• Ollama can now be selected as an authentication and model provider during OpenClaw onboarding
• Cloud models (`:cloud` tag) no longer require `ollama pull` — they connect automatically
• Ships with ROCm 7, bringing updated AMD GPU support
• Up to 10x lower latency for MiniMax-M2.5 and up to 2x for Qwen3.5 on Ollama&apos;s cloud for North American customers
• Up to 2x faster speeds with Kimi-K2.5 via OpenClaw
Breaking changes:
• ROCm 7 is now bundled; AMD GPU users must update drivers to the latest version for continued GPU support.</description>
    </item>
    <item>
      <title>Ollama v0.17.8-rc4</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.17.8-rc4</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.17.8-rc4</guid>
      <pubDate>Tue, 10 Mar 2026 03:30:50 GMT</pubDate>
      <description>Ollama v0.17.8-rc4 adds MLX int4 groupsize 64 support and updates ROCm on Linux to v7.2.
• Updates ROCm support on Linux to v7.2.
• Adds MLX int4 groupsize 64 quantization support for Apple Silicon inference.
• MLX runner now reads model parameters directly from the Modelfile during model creation.
• Removes requirement to pull stubs for cloud models, streamlining cloud model usage.</description>
    </item>
    <item>
      <title>Ollama v0.17.7</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.17.7</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.17.7</guid>
      <pubDate>Thu, 05 Mar 2026 05:51:09 GMT</pubDate>
      <description>Ollama v0.17.7 adds thinking-level support in the API and context-length compaction for `ollama launch`.
• Supports named thinking levels (e.g., `&quot;medium&quot;`) for thinking models via Ollama&apos;s API.
• Adds context-length parameter to enable compaction when using `ollama launch`.</description>
    </item>
    <item>
      <title>Ollama v0.17.5</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.17.5</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.17.5</guid>
      <pubDate>Mon, 02 Mar 2026 05:59:48 GMT</pubDate>
      <description>Ollama v0.17.5 adds Qwen3.5 model support and peak memory visibility in the MLX engine.
• Adds Qwen3.5 model series (0.8B, 2B, 4B, 9B parameters) to the Ollama library.
• `ollama run --verbose` now shows peak memory usage when using Ollama&apos;s MLX engine.</description>
    </item>
    <item>
      <title>Ollama v0.17.4</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.17.4</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.17.4</guid>
      <pubDate>Fri, 27 Feb 2026 03:47:22 GMT</pubDate>
      <description>Ollama v0.17.4 adds Qwen 3.5 and LFM 2 models plus tool call indices in parallel tool calls.
• Adds Qwen 3.5, a multimodal open-source model family, available via `ollama pull qwen3.5`.
• Adds LFM 2, a hybrid on-device model family including LFM2-24B-A2B (24B params, efficient inference), available via `ollama pull lfm2`.
• Includes tool call indices in parallel tool call responses, enabling callers to correlate multiple simultaneous tool invocations.
Breaking changes:
• Users on v0.17.1 will not receive this update automatically and must re-download Ollama manually.</description>
    </item>
    <item>
      <title>Ollama v0.17.1</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.17.1</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.17.1</guid>
      <pubDate>Tue, 24 Feb 2026 15:00:28 GMT</pubDate>
      <description>Ollama v0.17.1 adds Nemotron architecture, web search for tool-capable models, and auto-update download controls.
• Adds support for the Nemotron model architecture in Ollama&apos;s engine.
• Enables web search capabilities for models that support tools via the Ollama app.
• Adds configuration option to disable automatic update downloading.
• Improves LFM2 and LFM2.5 model support in Ollama&apos;s engine.
• MLX engine now delivers improved memory usage.
Breaking changes:
• `ollama create` no longer defaults to affine quantization for unquantized models when using the MLX engine — existing workflows relying on that default will produce differently quantized output.</description>
    </item>
    <item>
      <title>Ollama v0.17.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.17.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.17.0</guid>
      <pubDate>Sat, 21 Feb 2026 06:40:46 GMT</pubDate>
      <description>Ollama v0.17.0 adds `ollama launch openclaw` for one-command OpenClaw setup with web search and open model support.
• New `ollama launch openclaw` command installs and configures OpenClaw automatically, enabling use with open models like Kimi-K2.5, GLM-5, and Minimax-M2.5.
• Adds web search capability in OpenClaw when using cloud models, allowing internet-augmented responses.
• macOS and Windows apps now automatically select context length based on available VRAM.</description>
    </item>
    <item>
      <title>Ollama v0.16.3</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.16.3</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.16.3</guid>
      <pubDate>Thu, 19 Feb 2026 22:11:27 GMT</pubDate>
      <description>Ollama v0.16.3 adds Cline CLI integration, always-on model picker, and Gemma 3/Llama/Qwen 3 MLX support.
• New `ollama launch cline` subcommand launches the Cline CLI integration directly.
• `ollama launch &lt;integration&gt;` now always shows the model picker, making model selection explicit on every launch.
• Adds Gemma 3, Llama, and Qwen 3 architectures to the MLX runner, enabling local Apple Silicon acceleration for those model families.</description>
    </item>
    <item>
      <title>Ollama v0.16.2</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.16.2</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.16.2</guid>
      <pubDate>Sat, 14 Feb 2026 08:43:11 GMT</pubDate>
      <description>Ollama v0.16.2 adds web search for cloud models and a new setting to block cloud data egress.
• Adds web search support when running `ollama launch claude` with `:cloud` models.
• New `OLLAMA_NO_CLOUD=1` environment variable (and app setting) to disable cloud models and keep data on-device.</description>
    </item>
    <item>
      <title>Ollama v0.16.1</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.16.1</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.16.1</guid>
      <pubDate>Thu, 12 Feb 2026 23:40:00 GMT</pubDate>
      <description>Ollama v0.16.1 lets image generation models respect OLLAMA_LOAD_TIMEOUT and improves install UX on macOS and Windows.
• Image generation models now honor the `OLLAMA_LOAD_TIMEOUT` environment variable, enabling timeout control for slow-loading diffusion models.
• macOS `curl` install script no longer prompts for a password unless elevation is actually required.
• Windows `iem` install script now displays progress during installation.</description>
    </item>
    <item>
      <title>Ollama v0.16.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.16.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.16.0</guid>
      <pubDate>Thu, 12 Feb 2026 01:19:43 GMT</pubDate>
      <description>Ollama v0.16.0 adds a new `ollama launch` command, Ctrl+G editor integration, and two new frontier models.
• New `ollama launch` command lets users start apps (e.g., Pi) pre-connected to a local model.
• Ctrl+G keybinding opens an external text editor for editing prompts during an interactive model session.
• MLX runner now supports GLM-4.7-Flash.
• Adds GLM-5 (744B total / 40B active MoE) and MiniMax-M2.5 to the model library.</description>
    </item>
    <item>
      <title>Ollama v0.15.6</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.15.6</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.15.6</guid>
      <pubDate>Sat, 07 Feb 2026 03:58:40 GMT</pubDate>
      <description>ollama launch now auto-downloads missing models instead of erroring out
• Enables `ollama launch` to automatically download missing models on demand rather than returning an error.</description>
    </item>
    <item>
      <title>Ollama v0.15.5</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.15.5</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.15.5</guid>
      <pubDate>Tue, 03 Feb 2026 01:21:21 GMT</pubDate>
      <description>Ollama v0.15.5 adds sub-agent support, browser-based sign-in, VRAM-aware context limits, and two new models.
• Adds argument passthrough to `ollama launch`, enabling flags like `--resume` to be forwarded to the launched tool.
• Adds sub-agent support to `ollama launch` for planning, deep research, and similar multi-step agentic workflows.
• `ollama signin` now opens a browser window to the connect page for easier authentication.
• Adds GLM-4.7-Flash support on Ollama&apos;s experimental MLX engine.
• Adds new model Qwen3-Coder-Next, optimized for agentic coding workflows and local development.
• Adds new model GLM-OCR, a multimodal model for complex document understanding.</description>
    </item>
    <item>
      <title>Ollama v0.15.4</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.15.4</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.15.4</guid>
      <pubDate>Sun, 01 Feb 2026 23:13:41 GMT</pubDate>
      <description>Ollama v0.15.4 adds automatic OpenClaw onboarding flow to `ollama launch openclaw`.
• Triggers the standard OpenClaw onboarding flow when running `ollama launch openclaw` for the first time.</description>
    </item>
    <item>
      <title>Ollama v0.15.3</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.15.3</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.15.3</guid>
      <pubDate>Sun, 01 Feb 2026 01:29:48 GMT</pubDate>
      <description>Ollama v0.15.3: `ollama launch` now respects OLLAMA_HOST and improves Ministral tool calling
• Enables `ollama launch` to use the `OLLAMA_HOST` environment variable when connecting, so custom host configurations are honored automatically.
• Improves tool calling support for Ministral models.
Breaking changes:
• The `ollama launch clawdbot` subcommand is renamed to `ollama launch openclaw`; any scripts or workflows invoking `ollama launch clawdbot` will break.</description>
    </item>
    <item>
      <title>Ollama v0.15.2</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.15.2</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.15.2</guid>
      <pubDate>Tue, 27 Jan 2026 00:52:57 GMT</pubDate>
      <description>Ollama v0.15.2 adds `ollama launch clawdbot` to spin up Clawdbot using local Ollama models.
• New `ollama launch clawdbot` command launches Clawdbot powered by locally running Ollama models.</description>
    </item>
    <item>
      <title>Ollama v0.15.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.15.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.15.0</guid>
      <pubDate>Wed, 21 Jan 2026 22:40:42 GMT</pubDate>
      <description>Ollama v0.15.0 adds `ollama launch` to connect local models with Claude Code, Codex, OpenCode, and Droid instantly.
• New `ollama launch` command integrates Ollama models with Claude Code, Codex, OpenCode, and Droid without separate configuration.
• Supports &lt;kbd&gt;Ctrl&lt;/kbd&gt;+&lt;kbd&gt;J&lt;/kbd&gt; and &lt;kbd&gt;Shift&lt;/kbd&gt;+&lt;kbd&gt;Enter&lt;/kbd&gt; for inserting newlines in `ollama run` interactive sessions.</description>
    </item>
    <item>
      <title>Ollama v0.14.3</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.14.3</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.14.3</guid>
      <pubDate>Fri, 16 Jan 2026 19:53:57 GMT</pubDate>
      <description>Ollama v0.14.3 adds image-generation support via /api/generate and two new text-to-image models.
• Adds Z-Image Turbo, a 6B-parameter text-to-image model from Alibaba&apos;s Tongyi Lab for high-quality photorealistic image generation.
• Adds Flux.2 Klein, Black Forest Labs&apos; fastest image-generation model to date.
• Adds GLM-4.7-Flash, a 30B-class model optimized for lightweight deployment balancing performance and efficiency.
• Adds LFM2.5-1.2B-Thinking, a hybrid model family designed for on-device deployment.
• Enables image generation via the existing `/api/generate` API endpoint.</description>
    </item>
    <item>
      <title>Ollama v0.14.2</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.14.2</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.14.2</guid>
      <pubDate>Fri, 16 Jan 2026 00:50:51 GMT</pubDate>
      <description>Ollama v0.14.2 adds multiline CLI input, improved OpenResponses API conformance, and the TranslateGemma 55-language model.
• Supports multiline input in the Ollama CLI via Shift+Enter or Ctrl+J.
• Improves `/v1/responses` API conformance to the OpenResponses specification.
• Adds TranslateGemma, a new collection of open translation models built on Gemma 3 supporting 55 languages.</description>
    </item>
    <item>
      <title>Ollama v0.14.1</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.14.1</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.14.1</guid>
      <pubDate>Wed, 14 Jan 2026 19:02:29 GMT</pubDate>
      <description>Ollama v0.14.1 adds experimental image generation model support on macOS and Linux (CUDA).
• Supports experimental image generation models on macOS and Linux (CUDA), starting with Z-Image-Turbo.</description>
    </item>
    <item>
      <title>Ollama v0.14.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.14.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.14.0</guid>
      <pubDate>Sat, 10 Jan 2026 08:33:45 GMT</pubDate>
      <description>Ollama v0.14.0 adds an agent loop with bash tool, Anthropic API compatibility, image generation, and Modelfile version pinning.
• New `ollama run --experimental` flag opens an agent loop CLI with a built-in `bash` tool for agentic workflows.
• Adds Anthropic API compatibility via the `/v1/messages` endpoint, enabling Anthropic-compatible clients to target Ollama.
• New `REQUIRES` Modelfile command lets model authors declare the minimum Ollama version required to run the model.
• Adds experimental support for image generation models powered by MLX.
• Adds Swift source code syntax highlighting in the Ollama app.
• Linux install bundles now use `zst` compression for faster downloads.</description>
    </item>
    <item>
      <title>Ollama v0.13.5</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.13.5</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.13.5</guid>
      <pubDate>Thu, 18 Dec 2025 16:39:08 GMT</pubDate>
      <description>Ollama v0.13.5 adds BERT model support, DeepSeek-V3.1 tool parsing, and the FunctionGemma function-calling model.
• Adds built-in renderer and tool parsing for DeepSeek-V3.1, enabling structured function-calling workflows with that model.
• New `functiongemma` model available: a Gemma 3 270M variant fine-tuned explicitly for function calling.</description>
    </item>
    <item>
      <title>Ollama v0.13.4</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.13.4</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.13.4</guid>
      <pubDate>Sat, 13 Dec 2025 09:24:40 GMT</pubDate>
      <description>Ollama v0.13.4 adds Nemotron 3 Nano and OLMo 3/3.1 models, with Flash Attention now on by default.
• Adds Nemotron 3 Nano, an efficient open model optimized for agentic workloads.
• Adds OLMo 3 and OLMo 3.1, open language models pre-trained on the Dolma 3 dataset and post-trained on Dolci datasets.
• Enables Flash Attention automatically by default for all models, improving inference performance.</description>
    </item>
    <item>
      <title>Ollama v0.13.3</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.13.3</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.13.3</guid>
      <pubDate>Tue, 09 Dec 2025 02:14:37 GMT</pubDate>
      <description>Ollama v0.13.3 adds Devstral-Small-2, rnj-1, and nomic-embed-text-v2-moe models plus improved embedding truncation.
• Adds Devstral-Small-2 (24B), a code-focused model optimized for multi-file editing and software engineering agents.
• Adds rnj-1, an 8B dense model from Essential AI optimized for code and STEM tasks.
• Adds nomic-embed-text-v2-moe, a multilingual Mixture-of-Experts text embedding model for multilingual retrieval.
• Improves truncation logic for the `/api/embed` and `/v1/embeddings` endpoints.</description>
    </item>
    <item>
      <title>Ollama v0.13.2</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.13.2</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.13.2</guid>
      <pubDate>Thu, 04 Dec 2025 04:39:32 GMT</pubDate>
      <description>Ollama v0.13.2 enables flash attention by default for vision models and adds Qwen3-Next.
• Adds Qwen3-Next model, the first in the Qwen3-Next series, optimized for parameter efficiency and inference speed.
• Enables flash attention by default for vision models (mistral-3, gemma3, qwen3-vl, and others), improving memory utilization and performance when processing image inputs.</description>
    </item>
    <item>
      <title>Ollama v0.13.1</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.13.1</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.13.1</guid>
      <pubDate>Thu, 27 Nov 2025 02:48:04 GMT</pubDate>
      <description>Ollama v0.13.1 adds two new Mistral models, tool calling and thinking support for cogito-v2.1, and switches nomic-embed-text to Ollama&apos;s native engine.
• Adds Ministral-3, an edge-optimized model designed to run on a wide range of hardware.
• Adds Mistral-Large-3, a multimodal mixture-of-experts model for production-grade and enterprise workloads.
• Enables tool calling support for the cogito-v2.1 model.
• Adds thinking and tool parsing for cogito-v2.1.
• Switches nomic-embed-text to use Ollama&apos;s native engine by default.</description>
    </item>
    <item>
      <title>Ollama v0.13.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.13.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.13.0</guid>
      <pubDate>Wed, 19 Nov 2025 14:16:07 GMT</pubDate>
      <description>Ollama v0.13.0 adds DeepSeek-OCR, Cogito-V2.1, a new bench tool, and DeepSeek-V3.1 architecture support.
• Adds DeepSeek-OCR model support for document OCR, layout-grounded extraction, figure parsing, and markdown conversion from images.
• Adds Cogito-V2.1 instruction-tuned model, currently the top open-weight LLM from a US company.
• New `bench` CLI tool for benchmarking local model performance (built from the Ollama repo with Go).
• Supports DeepSeek-V3.1 architecture natively in Ollama&apos;s engine.</description>
    </item>
    <item>
      <title>Ollama v0.12.11</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.12.11</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.12.11</guid>
      <pubDate>Wed, 12 Nov 2025 20:27:51 GMT</pubDate>
      <description>Ollama v0.12.11 adds log probability support to its API and opt-in Vulkan GPU acceleration.
• Adds `logprobs` field to Ollama&apos;s generate API and OpenAI-compatible API, returning per-token log probabilities and raw bytes for classification, evaluation, and perplexity tasks.
• Adds `top_logprobs` parameter to expose the N most-likely alternative tokens at each position, enabling token-level introspection.
• Adds opt-in Vulkan GPU acceleration via `OLLAMA_VULKAN=1`, broadening hardware support to AMD, Intel, and integrated GPUs.
• Adds WebP image support in Ollama&apos;s desktop app.
• Ollama now prefers dedicated GPUs over iGPUs when scheduling models.</description>
    </item>
    <item>
      <title>Ollama v0.12.10</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.12.10</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.12.10</guid>
      <pubDate>Wed, 05 Nov 2025 21:41:21 GMT</pubDate>
      <description>Ollama v0.12.10 adds embedding model support in `ollama run`, tool call IDs in the chat API, and Vulkan GPU improvements.
• Enables `ollama run` to generate vector embeddings by running embedding models directly from the CLI, including via stdin piping.
• Returns tool call IDs from the `/api/chat` API endpoint.
• Enables flash attention for Vulkan GPU backends.
• Adds Vulkan memory detection for Intel GPUs using DXGI+PDH.
• Shows login instructions when switching to a cloud model in interactive mode.</description>
    </item>
    <item>
      <title>Ollama v0.12.8</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.12.8</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.12.8</guid>
      <pubDate>Thu, 30 Oct 2025 23:22:27 GMT</pubDate>
      <description>Ollama v0.12.8 adds flash attention for qwen3-vl and automatic model unload before removal.
• Enables flash attention by default for `qwen3-vl`, improving inference performance.</description>
    </item>
    <item>
      <title>Ollama v0.12.7</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.12.7</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.12.7</guid>
      <pubDate>Wed, 29 Oct 2025 02:07:54 GMT</pubDate>
      <description>Ollama v0.12.7 adds Qwen3-VL and MiniMax-M2 models, file uploads in the app, adjustable thinking levels, and OpenAI-compatible embedding format support.
• Adds Qwen3-VL multimodal model support in sizes from 2B to 235B parameters.
• Adds MiniMax-M2, a 230B parameter model optimized for coding and agentic workflows, available on Ollama&apos;s cloud.
• New app UI: attach one or multiple files when prompting a model.
• New app UI: adjust thinking levels for gpt-oss models to tune response depth.
• The OpenAI-compatible `/v1/embeddings` endpoint now supports the `encoding_format` parameter.
• Extends tool-call parsing to handle responses that don&apos;t conform to the standard `{&quot;name&quot;: name, &quot;arguments&quot;: args}` format.
• New API documentation site launched at https://docs.ollama.com/api.</description>
    </item>
    <item>
      <title>Ollama v0.12.6</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.12.6</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.12.6</guid>
      <pubDate>Wed, 15 Oct 2025 23:02:31 GMT</pubDate>
      <description>Ollama v0.12.6 adds tool-call search support, default flash attention for Gemma 3, and experimental Vulkan GPU backend.
• Adds web/tool-call search capability when running DeepSeek-V3.1, Qwen3, and other tool-calling-compatible models.
• Enables flash attention by default for Gemma 3, improving performance and memory utilization.
• Introduces experimental Vulkan GPU backend (build-from-source only), extending support to AMD and Intel GPUs not currently supported by Ollama.</description>
    </item>
    <item>
      <title>Ollama v0.12.5</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.12.5</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.12.5</guid>
      <pubDate>Fri, 10 Oct 2025 16:30:53 GMT</pubDate>
      <description>Ollama v0.12.5 adds structured output support for thinking models via /api/chat
• Supports structured outputs for thinking models when using the `/api/chat` API
Breaking changes:
• macOS 12 Monterey and macOS 13 Ventura are no longer supported.
• AMD gfx900 and gfx906 (MI50, MI60, etc) GPUs are no longer supported via ROCm.</description>
    </item>
    <item>
      <title>Ollama v0.12.4</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.12.4</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.12.4</guid>
      <pubDate>Fri, 03 Oct 2025 16:38:12 GMT</pubDate>
      <description>Ollama v0.12.4 enables flash attention by default for Qwen3 models and adds a new override to disable it.
• Enables flash attention by default for Qwen3 and Qwen3 Coder models, improving inference performance without manual configuration.
• Adds support for overriding default flash attention via `OLLAMA_FLASH_ATTENTION=0` for models where it is enabled by default.
Breaking changes:
• macOS 12 Monterey and macOS 13 Ventura are no longer supported.
• AMD gfx900 and gfx906 (MI50, MI60, etc.) GPUs are no longer supported via ROCm.</description>
    </item>
    <item>
      <title>Ollama v0.12.3</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.12.3</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.12.3</guid>
      <pubDate>Fri, 26 Sep 2025 05:08:26 GMT</pubDate>
      <description>Ollama v0.12.3 adds DeepSeek-V3.1 and Kimi-K2 models plus sign-in URL prompting on push.
• Adds DeepSeek-V3.1-Terminus, a hybrid model supporting both thinking and non-thinking modes, runnable locally or on Ollama&apos;s cloud.
• Adds Kimi-K2-Instruct-0905, a 1-trillion-parameter MoE model with 32B activated parameters, available via cloud.
• `ollama push` now outputs a sign-in URL when authentication is required.</description>
    </item>
    <item>
      <title>Ollama v0.12.2</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.12.2</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.12.2</guid>
      <pubDate>Wed, 24 Sep 2025 21:19:20 GMT</pubDate>
      <description>Ollama v0.12.2 adds a web search API to ground model responses in live data and expands new-engine model support.
• New web search API lets models retrieve live web results to reduce hallucinations and improve accuracy, with a free tier for individuals and higher rate limits via Ollama Cloud.
• Qwen3 architecture models, including MoE variants, now run on Ollama&apos;s new engine.
• Supports multi-regex pretokenizers in Ollama&apos;s new engine.
• Ollama&apos;s new engine can load tensors by matching a prefix or suffix.</description>
    </item>
    <item>
      <title>Ollama v0.12.1</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.12.1</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.12.1</guid>
      <pubDate>Sun, 21 Sep 2025 23:19:05 GMT</pubDate>
      <description>Ollama v0.12.1 adds Qwen3 Embedding model support and tool calling for Qwen3-Coder.
• Adds Qwen3 Embedding, a state-of-the-art open embedding model from the Qwen team, available via `ollama pull qwen3-embedding`.
• Enables tool calling support for Qwen3-Coder models.</description>
    </item>
    <item>
      <title>Ollama v0.12.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.12.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.12.0</guid>
      <pubDate>Thu, 18 Sep 2025 17:29:57 GMT</pubDate>
      <description>Ollama v0.12.0 adds cloud-hosted large models, native BERT and Qwen3 engine support, and smarter thinking-prompt handling.
• Adds cloud model support (preview): run massive models like `qwen3-coder:480b` on datacenter-grade hardware with the `-cloud` tag suffix.
• Supports BERT-architecture models natively on Ollama&apos;s own engine.
• Supports Qwen3-architecture models natively on Ollama&apos;s own engine.
• Skips parsing an initial `&lt;think&gt;` block when it is provided in the prompt for `/api/generate`, enabling cleaner reasoning-model workflows.</description>
    </item>
    <item>
      <title>Ollama v0.11.11</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.11.11</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.11.11</guid>
      <pubDate>Thu, 11 Sep 2025 21:02:41 GMT</pubDate>
      <description>Ollama v0.11.11 adds CUDA 13 support and a new `dimensions` field for embed requests.
• Supports CUDA 13 for GPU-accelerated inference.
• Adds `dimensions` field to embed requests, enabling control over output embedding size.
• Enables new memory estimates in Ollama&apos;s new engine by default, improving resource planning for hybrid and recurrent models.
• Adds Cmd+/- zoom controls for text sizing in Ollama&apos;s desktop app.
• Enables copying of assistant messages in Ollama&apos;s desktop app.</description>
    </item>
    <item>
      <title>Ollama v0.11.10</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.11.10</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.11.10</guid>
      <pubDate>Thu, 04 Sep 2025 17:27:40 GMT</pubDate>
      <description>Ollama v0.11.10 adds support for EmbeddingGemma, a new best-in-class open embedding model.
• Supports EmbeddingGemma, a new open embedding model with best-in-class performance for its size.</description>
    </item>
    <item>
      <title>Ollama v0.11.9</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.11.9</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.11.9</guid>
      <pubDate>Tue, 02 Sep 2025 20:14:18 GMT</pubDate>
      <description>Ollama v0.11.9 overlaps GPU and CPU computations for improved inference performance.
• Improves performance by overlapping GPU and CPU computations during inference.</description>
    </item>
    <item>
      <title>Ollama v0.11.8</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.11.8</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.11.8</guid>
      <pubDate>Wed, 27 Aug 2025 18:43:44 GMT</pubDate>
      <description>Ollama v0.11.8 enables flash attention by default for gpt-oss on supported hardware.
• Enables flash attention by default for `gpt-oss` models on systems that support it, reducing memory overhead during inference.</description>
    </item>
    <item>
      <title>Ollama v0.11.7</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.11.7</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.11.7</guid>
      <pubDate>Mon, 25 Aug 2025 18:04:05 GMT</pubDate>
      <description>Ollama v0.11.7 adds DeepSeek-V3.1 support with hybrid thinking and cloud Turbo mode preview.
• Adds DeepSeek-V3.1 (671B parameter model) to the Ollama model library.
• Supports hybrid thinking on compatible models: enable or disable chain-of-thought reasoning per request via the `think` field in the API or `/set think`/`/set nothink` CLI commands.
• Introduces Turbo mode (preview): routes inference for large models like DeepSeek-V3.1 to cloud hardware via `OLLAMA_HOST=ollama.com`.</description>
    </item>
    <item>
      <title>Ollama v0.11.5</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.11.5</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.11.5</guid>
      <pubDate>Fri, 15 Aug 2025 02:38:31 GMT</pubDate>
      <description>Ollama v0.11.5 adds opt-in improved VRAM memory estimates, multi-GPU scheduling gains, and CPU flash attention support.
• New opt-in memory management (`OLLAMA_NEW_ESTIMATES=1`) improves VRAM utilization and reduces out-of-memory errors when scheduling models on GPUs.
• Improved multi-GPU scheduling reduces VRAM allocation when running across more than 2 GPUs.
• Enables flash attention for pure-CPU models via `OLLAMA_FLASH_ATTENTION=1`.
• The Ollama app now persists default model, Turbo, and Web Search selections across restarts.</description>
    </item>
    <item>
      <title>Ollama v0.11.4</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.11.4</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.11.4</guid>
      <pubDate>Thu, 07 Aug 2025 17:17:41 GMT</pubDate>
      <description>Ollama v0.11.4 improves OpenAI-compatible API support: simultaneous content+tool calls, tool name propagation, and always-on reasoning.
• Supports content and tool calls coexisting in the same OpenAI-compatible message, enabling richer agentic responses.
• Propagates the tool name when converting role=tool messages in the OpenAI-compatible layer.
• Always provides reasoning output in OpenAI-compatible responses.</description>
    </item>
    <item>
      <title>Ollama v0.11.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.11.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.11.0</guid>
      <pubDate>Tue, 05 Aug 2025 16:56:24 GMT</pubDate>
      <description>Ollama v0.11 adds native support for OpenAI&apos;s gpt-oss 20B and 120B open-weight models with built-in web search and MXFP4 quantization.
• Adds OpenAI gpt-oss 20B and 120B open-weight models, runnable locally via `ollama run gpt-oss:20b` and `ollama run gpt-oss:120b`.
• Supports native MXFP4 quantization format for gpt-oss MoE weights (4.25 bits/param), enabling the 20B to run on 16 GB RAM and the 120B on a single 80 GB GPU.
• Enables built-in optional web search to augment gpt-oss models with real-time information.
• Supports configurable reasoning effort (low, medium, high) for gpt-oss models to balance quality and latency.
• Exposes full chain-of-thought reasoning output from gpt-oss models.
• Supports function calling, Python tool calls, and structured outputs via gpt-oss models&apos; native agentic capabilities.
• Adds SWA (sliding window attention) KV-cache enhancement to retain additional cache entries.</description>
    </item>
    <item>
      <title>Ollama v0.10.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.10.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.10.0</guid>
      <pubDate>Fri, 18 Jul 2025 00:23:58 GMT</pubDate>
      <description>Ollama v0.10.0 adds context-length visibility in `ollama ps`, WebP image support, and 10-30% multi-GPU performance gains.
• Adds context length display to `ollama ps` output for loaded models.
• Supports WebP images in the OpenAI-compatible API.
• Delivers 10-30% performance improvement when using multiple GPUs.
• Improves performance of `gemma3n` models by 2-3x.
• Launches redesigned desktop app for macOS and Windows.
Breaking changes:
• Parallel request processing now defaults to 1 (previously higher), which will reduce throughput for workloads relying on the previous concurrent-request default.</description>
    </item>
    <item>
      <title>Ollama v0.9.6</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.9.6</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.9.6</guid>
      <pubDate>Tue, 08 Jul 2025 01:26:29 GMT</pubDate>
      <description>Ollama v0.9.6 lets tool-role messages carry a `tool_name` field in `/api/chat`.
• Supports `tool_name` field in messages with `&quot;role&quot;: &quot;tool&quot;` via the `/api/chat` endpoint, enabling precise tool-call attribution in multi-turn agentic conversations.</description>
    </item>
    <item>
      <title>Ollama v0.9.5</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.9.5</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.9.5</guid>
      <pubDate>Wed, 02 Jul 2025 18:39:28 GMT</pubDate>
      <description>Ollama v0.9.5 adds network exposure, configurable model directory, and a faster native macOS app.
• Enables exposing Ollama over the network so other devices (including low-powered ones) can access a centrally running instance.
• Supports configuring the model storage directory, enabling models to live on external drives or custom paths.
• Ships a native macOS application with smaller installation footprint and faster startup time.
• Adds NativeMind to the Community Integrations list.
Breaking changes:
• Ollama for macOS now requires version 12 (Monterey) or newer; installations on older macOS versions will no longer be supported.</description>
    </item>
    <item>
      <title>Ollama v0.9.4</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.9.4</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.9.4</guid>
      <pubDate>Fri, 27 Jun 2025 02:45:46 GMT</pubDate>
      <description>Ollama v0.9.4 adds network exposure and configurable model directory via the desktop apps.
• Enables exposing the Ollama server on the network so other devices (or remote users) can access models running on a powerful local machine.
• Adds configurable model storage directory, allowing models to be stored on external drives or any non-default path.
• Delivers a native macOS app with significantly smaller install footprint and faster startup.
Breaking changes:
• Ollama for macOS now requires version 12 (Monterey) or newer; installations on older macOS versions will no longer be supported.</description>
    </item>
    <item>
      <title>Ollama v0.9.3</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.9.3</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.9.3</guid>
      <pubDate>Wed, 25 Jun 2025 16:55:41 GMT</pubDate>
      <description>Ollama v0.9.3 adds support for Google&apos;s Gemma 3n models, optimized for laptops, tablets, and phones.
• Supports Gemma 3n models (e2b and e4b variants), designed for efficient on-device execution across laptops, tablets, and phones with training data covering 140+ spoken languages.</description>
    </item>
    <item>
      <title>Ollama v0.9.1</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.9.1</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.9.1</guid>
      <pubDate>Mon, 09 Jun 2025 17:18:42 GMT</pubDate>
      <description>Ollama v0.9.1 adds tool calling for DeepSeek-R1 671B and Magistral, plus a redesigned macOS/Windows preview app.
• Adds tool calling support for DeepSeek-R1-2508 (671B) and Magistral models.
• Supports disabling thinking mode on Magistral (with recommended system prompt change).
• New preview macOS and Windows desktop apps with network exposure, local browser access, and configurable model directory.
• macOS app rebuilt as a native application for smaller footprint and faster startup.
• Enables exposing Ollama on the network so other devices (or remote users) can reach a central Ollama host.
• Allows local browser access so web applications can directly call the local Ollama API.
• Model storage directory is now configurable, enabling use of external drives or custom paths.</description>
    </item>
    <item>
      <title>Ollama v0.9.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.9.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.9.0</guid>
      <pubDate>Thu, 29 May 2025 05:41:01 GMT</pubDate>
      <description>Ollama v0.9.0 adds controllable thinking mode for reasoning models, exposing chain-of-thought as a separate API field.
• Adds thinking mode support: enable or disable chain-of-thought reasoning for compatible models (DeepSeek R1, Qwen 3) independently per request.
• New `thinking` field in API chat responses separates the model&apos;s reasoning trace from its final `content` for easy parsing.
• New `/set think` and `/set nothink` CLI commands toggle thinking mode interactively during a session.
• New `&quot;think&quot;: true/false` API parameter in `/api/chat` allows per-request control of thinking behavior.
• Adds support for DeepSeek-R1-0528, the updated 8B distilled and 671B full models with improved reasoning.</description>
    </item>
    <item>
      <title>Ollama v0.8.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.8.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.8.0</guid>
      <pubDate>Tue, 27 May 2025 19:55:15 GMT</pubDate>
      <description>Ollama v0.8.0 adds streaming support for tool call responses.
• Streams responses that include tool calls, enabling real-time output during tool-augmented LLM interactions.
• Adds improved memory estimate debug information in logs when running models in Ollama&apos;s engine.</description>
    </item>
    <item>
      <title>Ollama v0.7.1</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.7.1</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.7.1</guid>
      <pubDate>Wed, 21 May 2025 22:17:35 GMT</pubDate>
      <description>Ollama v0.7.1 adds Qwen 3 &amp; Qwen 2 multimodal support and truncation indicators in `ollama show`.
• Supports Alibaba&apos;s Qwen 3 and Qwen 2 architectures in Ollama&apos;s multimodal engine.
• `ollama show` now displays `...` when output data is truncated.</description>
    </item>
    <item>
      <title>Ollama v0.7.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.7.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.7.0</guid>
      <pubDate>Tue, 13 May 2025 00:10:33 GMT</pubDate>
      <description>Ollama v0.7.0 adds multimodal vision model support, WebP image input, and corrected HTTP 405 responses.
• Supports multimodal vision models via Ollama&apos;s new engine, including Meta Llama 4, Google Gemma 3, Qwen 2.5 VL, and Mistral Small 3.1.
• Accepts WebP images as input to multimodal models.
• API now returns HTTP 405 (Method Not Allowed) instead of 404 for disallowed methods, enabling more accurate client-side error handling.
• Improved performance of importing safetensors models via `ollama create`.
• Improved prompt processing speeds of Qwen3 MoE on macOS.</description>
    </item>
    <item>
      <title>Ollama v0.6.8</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.6.8</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.6.8</guid>
      <pubDate>Sat, 03 May 2025 22:56:44 GMT</pubDate>
      <description>Ollama v0.6.8 delivers major performance gains for Qwen3 MoE models on NVIDIA and AMD GPUs.
• Improves inference performance for Qwen3 MoE models (`30b-a3b` and `235b-a22b`) on NVIDIA and AMD GPUs.</description>
    </item>
    <item>
      <title>Ollama v0.6.7</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.6.7</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.6.7</guid>
      <pubDate>Sat, 26 Apr 2025 09:16:02 GMT</pubDate>
      <description>Ollama v0.6.7 adds Llama 4 multimodal, Qwen3, Phi 4 reasoning models, and raises default context window to 4096 tokens.
• Adds support for Meta&apos;s Llama 4 multimodal models, enabling image-and-text inference locally.
• Adds support for Microsoft&apos;s Phi 4 Reasoning and Phi 4 Mini Reasoning models for state-of-the-art chain-of-thought tasks.
• Adds Qwen3 family (dense and MoE variants) to the model library.
• Increases default context window from its previous limit to 4096 tokens, unlocking longer conversations and documents out of the box.</description>
    </item>
    <item>
      <title>Ollama v0.6.6</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.6.6</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.6.6</guid>
      <pubDate>Thu, 17 Apr 2025 04:34:58 GMT</pubDate>
      <description>Ollama v0.6.6 adds IBM Granite 3.3 and DeepCoder models, experimental faster downloader, and expanded tool-call type support.
• Adds IBM Granite 3.3 (2B and 8B) models with 128K context length, fine-tuned for reasoning and instruction-following.
• Adds DeepCoder 14B (and 1.5B) fully open-source coder model at O3-mini level.
• New experimental faster model downloader with improved performance and reliability, enabled via `OLLAMA_EXPERIMENT=client2`.
• Improves performance of `ollama create` when importing models from Safetensors.
• Supports tool function parameters with either a single type or an array of types.
• Includes `items` and `$defs` fields in the API to properly handle `array` types.
• Adds `OpenAI-Beta` headers to the CORS safelist, enabling broader cross-origin API access.</description>
    </item>
    <item>
      <title>Ollama v0.6.5</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.6.5</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.6.5</guid>
      <pubDate>Sun, 06 Apr 2025 00:15:39 GMT</pubDate>
      <description>Ollama v0.6.5 adds Mistral Small 3.1, a top-performing vision model in its weight class.
• Adds support for Mistral Small 3.1, described as the best-performing vision model in its weight class.</description>
    </item>
    <item>
      <title>Ollama v0.6.4</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.6.4</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.6.4</guid>
      <pubDate>Wed, 02 Apr 2025 22:14:24 GMT</pubDate>
      <description>Ollama v0.6.4 adds model capability metadata to /api/show and AMD RDNA4 GPU support on Linux.
• Adds model capability metadata (e.g. `vision`) to `/api/show` API responses.
• Adds AMD RDNA4 GPU support on Linux.</description>
    </item>
    <item>
      <title>Ollama v0.6.3</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.6.3</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.6.3</guid>
      <pubDate>Sat, 22 Mar 2025 02:56:08 GMT</pubDate>
      <description>Ollama v0.6.3 adds sliding window attention optimizations for Gemma 3 and smarter `ollama create` for safetensors imports.
• Adds sliding window attention optimizations for Gemma 3, improving inference speed and memory efficiency for long context windows.
• `ollama create` now reports the name of unsupported architectures instead of failing silently.</description>
    </item>
    <item>
      <title>Ollama v0.6.2</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.6.2</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.6.2</guid>
      <pubDate>Tue, 18 Mar 2025 03:11:33 GMT</pubDate>
      <description>Ollama v0.6.2 adds multi-image support for Gemma 3 and AMD Strix Halo GPU support.
• Supports multiple images in a single Gemma 3 prompt, enabling multimodal workflows.
• Adds support for AMD Strix Halo GPUs.
• `ollama create --quantize` now works when converting Gemma 3 models from safetensors format.</description>
    </item>
    <item>
      <title>Ollama v0.6.1</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.6.1</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.6.1</guid>
      <pubDate>Fri, 14 Mar 2025 02:58:48 GMT</pubDate>
      <description>Ollama v0.6.1 adds Command A model support, verbose model inspection, and new CLI hotkeys.
• Adds Command A, a 111B-parameter enterprise-grade model, to the Ollama library.
• New `ollama show --verbose` / `ollama show -v` flag prints additional model data beyond the default output.
• Adds Ctrl+P and Ctrl+N hotkeys for navigating history in `ollama run` interactive sessions.</description>
    </item>
    <item>
      <title>Ollama v0.6.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.6.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.6.0</guid>
      <pubDate>Tue, 11 Mar 2025 23:37:42 GMT</pubDate>
      <description>Ollama v0.6.0 adds support for Google Gemma 3 in 1B, 4B, 12B, and 27B parameter sizes.
• Supports Google Gemma 3 multimodal model in 1B, 4B, 12B, and 27B parameter sizes via `ollama run gemma3`.</description>
    </item>
    <item>
      <title>Ollama v0.5.13</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.5.13</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.5.13</guid>
      <pubDate>Thu, 27 Feb 2025 18:27:51 GMT</pubDate>
      <description>Ollama v0.5.13 adds NVIDIA Blackwell support, a new default context length env var, and three new models including Phi-4-Mini with function calling.
• New `OLLAMA_CONTEXT_LENGTH` environment variable lets operators set the default context length server-wide without per-request overrides.
• Ollama is now compiled for NVIDIA Blackwell GPUs, enabling inference on the latest NVIDIA hardware.
• Adds Phi-4-Mini model with multilingual support, reasoning, mathematics, and function calling.
• Adds Granite-3.2-Vision, a compact vision-language model for visual document understanding (tables, charts, diagrams, infographics).
• Adds Command R7B Arabic, a model optimized for advanced Arabic language tasks targeting MENA enterprises.
• Accepts requests from Visual Studio Code and Cursor via origins beginning with `vscode-file://`, enabling IDE-native integration.
Breaking changes:
• Ubuntu 20.04, Debian 10, and RHEL 8+ or later are now required to run Ollama on Linux — older Linux distributions are no longer supported.</description>
    </item>
    <item>
      <title>Ollama v0.5.12</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.5.12</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.5.12</guid>
      <pubDate>Thu, 20 Feb 2025 17:32:40 GMT</pubDate>
      <description>Ollama v0.5.12 adds Perplexity R1 1776, OpenAI-compatible tool_calls responses, and X-Stainless-Timeout header support.
• Adds Perplexity R1 1776 model: a post-trained DeepSeek-R1 variant with fewer topic refusals.
• OpenAI-compatible API now returns `tool_calls` in responses when a model invokes a tool.
• Accepts `X-Stainless-Timeout` as a valid header on OpenAI API endpoints.</description>
    </item>
    <item>
      <title>Ollama v0.5.9</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.5.9</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.5.9</guid>
      <pubDate>Wed, 12 Feb 2025 02:33:49 GMT</pubDate>
      <description>Ollama v0.5.9 adds DeepScaleR and OpenThinker reasoning models to the library.
• Adds DeepScaleR, a 1.5B-parameter math-reasoning model fine-tuned on Deepseek-R1-Distilled-Qwen-1.5B, available via `ollama pull deepscaler`.
• Adds OpenThinker, a fully open-source family of reasoning models distilled from DeepSeek-R1, available via `ollama pull openthinker`.</description>
    </item>
    <item>
      <title>Ollama v0.5.8</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.5.8</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.5.8</guid>
      <pubDate>Wed, 05 Feb 2025 20:40:08 GMT</pubDate>
      <description>Ollama v0.5.8 adds AVX-512 CPU acceleration and broadens GPU compatibility to non-AVX hosts
• Adds AVX-512 instruction support for additional CPU inference acceleration on compatible hardware.
• Enables NVIDIA and AMD GPUs on systems whose CPUs lack AVX instructions, broadening deployment targets.
• Adds AVX2 instruction usage when offloading to NVIDIA and AMD GPUs for improved hybrid performance.
• New `ollama-darwin.tgz` archive package replaces the previous `ollama-darwin` standalone binary for macOS distribution.
Breaking changes:
• The `ollama-darwin` standalone binary is replaced by the `ollama-darwin.tgz` package; scripts or pipelines that download the old binary path will break.
• The steps to build Ollama with GPU acceleration from source have changed; existing build procedures must be updated per the development documentation.</description>
    </item>
    <item>
      <title>Ollama v0.5.7</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.5.7</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.5.7</guid>
      <pubDate>Thu, 16 Jan 2025 18:17:33 GMT</pubDate>
      <description>Ollama v0.5.7 adds native import support for Command R and Command R+ safetensor models.
• Supports importing Command R and Command R+ architectures directly from safetensors files.</description>
    </item>
    <item>
      <title>Ollama v0.5.5</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.5.5</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.5.5</guid>
      <pubDate>Wed, 08 Jan 2025 22:55:42 GMT</pubDate>
      <description>Ollama v0.5.5 adds 8 new models including DeepSeek-V3 and Phi-4, plus a faster /api/create endpoint that now accepts JSON.
• Adds Phi-4 (14B, Microsoft) to the model library.
• Adds Command R7B (Cohere) for efficient inference on commodity GPUs and edge devices.
• Adds DeepSeek-V3, a 671B MoE model with 37B parameters activated per token.
• Adds OLMo 2 (7B and 13B) trained on up to 5T tokens.
• Adds Dolphin 3, a general-purpose instruct-tuned model supporting coding, math, agentic, and function-calling use cases.
• Adds SmallThinker, a small reasoning model fine-tuned from Qwen 2.5 3B Instruct.
• Adds Granite 3.1 Dense (2B and 8B) from IBM, trained on over 12 trillion tokens.
• Adds Granite 3.1 MoE (1B and 3B) from IBM, designed for low-latency long-context inference.
• Updates the `/api/create` endpoint to improve model conversion speed and accept a JSON object body.
Breaking changes:
• The `/api/create` API endpoint (used by `ollama create`) is not backwards compatible: both the Ollama server and the `ollama` CLI must be version 0.5.5 or later, and the Python/JavaScript `ollama` library must be updated to the latest version when calling `ollama.create`.</description>
    </item>
    <item>
      <title>Ollama v0.5.4</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.5.4</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.5.4</guid>
      <pubDate>Tue, 17 Dec 2024 21:54:59 GMT</pubDate>
      <description>Ollama v0.5.4 adds the Falcon3 family of sub-10B models optimised for science, math, and coding.
• Adds Falcon3 model family (sub-10B parameters) with strong performance in science, math, and coding tasks.</description>
    </item>
    <item>
      <title>Ollama v0.5.2</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.5.2</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.5.2</guid>
      <pubDate>Wed, 11 Dec 2024 20:43:33 GMT</pubDate>
      <description>Ollama v0.5.2 adds EXAONE 3.5 bilingual models (2.4B–32B) and case-insensitive OLLAMA_ORIGINS host matching.
• Adds EXAONE 3.5 instruction-tuned bilingual (English/Korean) models ranging from 2.4B to 32B parameters, developed by LG AI Research.
• `OLLAMA_ORIGINS` now matches hosts case-insensitively, simplifying origin allowlist configuration.
Breaking changes:
• The Linux `ollama-linux-amd64.tgz` directory structure has changed — manual Linux installations must retain the new directory layout and contents of the tar file after upgrading.</description>
    </item>
    <item>
      <title>Ollama v0.5.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.5.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.5.0</guid>
      <pubDate>Wed, 04 Dec 2024 21:35:06 GMT</pubDate>
      <description>Ollama v0.5.0 adds JSON-schema structured outputs and experimental KV cache quantization to cut VRAM usage.
• Supports structured outputs via JSON schema in the `format` parameter across the REST API, Python library, and JavaScript library — constraining model responses to a defined shape.
• Adds Llama 3.3 (70B) model, offering performance comparable to Llama 3.1 405B.
• Adds Snowflake Arctic Embed 2, a multilingual frontier embedding model.
• Experimental `OLLAMA_KV_CACHE_TYPE` env var enables KV cache quantization at 4-bit (`q4_0`), 8-bit (`q8_0`), or 16-bit (`f16`), reducing VRAM requirements for longer context windows.</description>
    </item>
    <item>
      <title>Ollama v0.4.6</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.4.6</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.4.6</guid>
      <pubDate>Thu, 28 Nov 2024 00:11:52 GMT</pubDate>
      <description>Ollama v0.4.6 adds QwQ reasoning model, streaming tool calls, and SVG input validation.
• Adds QwQ, an experimental AI reasoning model from the Qwen team, available via `ollama pull qwq`.
• Tool calls are now included in streaming responses, enabling real-time agentic workflows without waiting for full completion.
• Ollama now returns an explicit error when an SVG image is submitted, surfacing unsupported input early.</description>
    </item>
    <item>
      <title>Ollama v0.4.5</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.4.5</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.4.5</guid>
      <pubDate>Tue, 26 Nov 2024 02:19:22 GMT</pubDate>
      <description>Ollama v0.4.5 lets `ollama push` print the uploaded model URL and accepts X-Stainless-Retry-Count from OpenAI clients.
• Accepts `X-Stainless-Retry-Count` header used by many OpenAI API clients, improving compatibility.
• `ollama push` now prints the uploaded model URL on ollama.com after a successful push.</description>
    </item>
    <item>
      <title>Ollama v0.4.4</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.4.4</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.4.4</guid>
      <pubDate>Sat, 23 Nov 2024 02:28:20 GMT</pubDate>
      <description>Ollama v0.4.4 adds Marco-o1 reasoning model and clean file-redirect output.
• Adds Marco-o1, Alibaba AIDC-AI&apos;s open large reasoning model, to the Ollama library.
• Redirecting CLI output to a file now suppresses progress bars and spinners, enabling clean log capture.</description>
    </item>
    <item>
      <title>Ollama v0.4.3</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.4.3</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.4.3</guid>
      <pubDate>Wed, 20 Nov 2024 22:27:30 GMT</pubDate>
      <description>Ollama v0.4.3 adds Tülu 3 and an updated Mistral Large with improved long context and function calling.
• Adds Tülu 3, a fully open-source instruction-following model family from the Allen Institute for AI, available via `ollama pull tulu3`.
• Adds updated Mistral Large with improved long context, function calling, and system prompt support, available via `ollama pull mistral-large`.</description>
    </item>
    <item>
      <title>Ollama v0.4.2</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.4.2</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.4.2</guid>
      <pubDate>Fri, 15 Nov 2024 01:22:31 GMT</pubDate>
      <description>Ollama v0.4.2 adds NVIDIA Jetson support, three new models, and improved Modelfile error reporting.
• Supports NVIDIA Jetson devices via the standard install script.
• Adds Qwen 2.5 Coder in six sizes (0.5B–32B) for code generation tasks.
• Adds OpenCoder (1.5B and 8B) with English and Chinese chat support.
• Adds Athene V2 (72B) optimised for code completion, mathematics, and log extraction.
• `ollama create` now reports line numbers for Modelfile errors, speeding up authoring.</description>
    </item>
    <item>
      <title>Ollama v0.4.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.4.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.4.0</guid>
      <pubDate>Mon, 21 Oct 2024 05:10:12 GMT</pubDate>
      <description>Ollama v0.4 adds Llama 3.2 Vision (multimodal) support and Safetensors import without a Modelfile.
• Supports the Llama 3.2 Vision (Mllama) multimodal architecture, enabling image-understanding workloads via `ollama run llama3.2-vision`.
• Enables importing models directly from Safetensors files without requiring a Modelfile when running `ollama create`.
• Follow-on requests to vision models are now significantly faster, enabling more responsive multi-turn visual conversations.</description>
    </item>
    <item>
      <title>Ollama v0.3.14</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.3.14</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.3.14</guid>
      <pubDate>Thu, 17 Oct 2024 22:31:45 GMT</pubDate>
      <description>Ollama v0.3.14 adds IBM Granite 3 MoE and Dense model support for low-latency and RAG/tool-use workloads.
• Adds Granite 3 MoE (1B and 3B): IBM&apos;s first mixture-of-experts Granite models optimized for low-latency inference.
• Adds Granite 3 Dense (2B and 8B): IBM Granite models designed for tool-use, RAG, code generation, and translation.
• Supports the IBM Granite and GraniteMoE model architectures natively.</description>
    </item>
    <item>
      <title>Ollama v0.3.13</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.3.13</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.3.13</guid>
      <pubDate>Fri, 11 Oct 2024 19:41:40 GMT</pubDate>
      <description>Ollama v0.3.13 adds Llama Guard 3 and ShieldGemma safety classification models for LLM input/output screening.
• Adds Llama Guard 3 support: Meta&apos;s fine-tuned content safety classification models for screening LLM inputs and outputs.
• Adds ShieldGemma support: Google DeepMind&apos;s instruction-tuned models for evaluating text prompts and responses against defined safety policies.</description>
    </item>
    <item>
      <title>Ollama v0.3.12</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.3.12</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.3.12</guid>
      <pubDate>Mon, 23 Sep 2024 03:39:10 GMT</pubDate>
      <description>Ollama v0.3.12 adds Llama 3.2 and Qwen 2.5 Coder support, plus ARM Windows compatibility.
• Adds Llama 3.2 (1B and 3B) models from Meta, optimized for small-footprint deployments.
• Adds Qwen 2.5 Coder, a code-specialized model series with improved code generation and reasoning.
• Supports ARM Windows machines.</description>
    </item>
    <item>
      <title>Ollama v0.3.11</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.3.11</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.3.11</guid>
      <pubDate>Tue, 17 Sep 2024 21:40:04 GMT</pubDate>
      <description>Ollama v0.3.11 adds `ollama stop` to unload running models and ships five new models including Qwen 2.5 and Bespoke-Minicheck.
• New `ollama stop` command to unload a running model from memory on demand.
• Adds Solar-Pro-Preview (22B), Qwen 2.5 (up to 128K context), Bespoke-Minicheck (fact-checking), Mistral-Small (22B), and Reader-LM (HTML-to-Markdown) to the model library.
• Shows an error when importing a model with an invalid number of tokens in the vocabulary, catching bad imports early.
• The `ollama/ollama` container image now starts almost immediately, cutting startup time by ~5 seconds.</description>
    </item>
    <item>
      <title>Ollama v0.3.10</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.3.10</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.3.10</guid>
      <pubDate>Fri, 06 Sep 2024 16:17:06 GMT</pubDate>
      <description>Ollama v0.3.10 adds MiniCPM-V multimodal, Yi-Coder, and DeepSeek-V2.5 models plus automatic CUDA 11 fallback for older NVIDIA drivers.
• Adds Yi-Coder, an open-source code language model series delivering state-of-the-art coding performance under 10B parameters.
• Adds DeepSeek-V2.5, combining DeepSeek-V2 general chat and DeepSeek-Coder-V2 coding capabilities in a single model.
• Automatically falls back to CUDA 11 for older NVIDIA drivers incompatible with CUDA 12, expanding GPU support without manual configuration.
Breaking changes:
• The OpenAI-compatible chat and completions APIs no longer scale `temperature` and `frequency_penalty`, which will change generation behavior for any integration that relied on Ollama&apos;s previous scaling of these parameters.</description>
    </item>
    <item>
      <title>Ollama v0.3.9</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.3.9</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.3.9</guid>
      <pubDate>Sat, 31 Aug 2024 19:26:05 GMT</pubDate>
      <description>Ollama v0.3.9 adds path support to OLLAMA_HOST and improves error messaging for unsupported models.
• Supports URL paths in `OLLAMA_HOST`, enabling deployments behind reverse proxies with subpath routing.
• Shows improved error messages when attempting to run unsupported models.</description>
    </item>
    <item>
      <title>Ollama v0.3.7</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.3.7</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.3.7</guid>
      <pubDate>Tue, 20 Aug 2024 17:45:41 GMT</pubDate>
      <description>Ollama v0.3.7 adds Hermes 3, Phi 3.5, and SmolLM models plus CUDA 12 support for up to 10% GPU performance gains.
• Adds Hermes 3 (Nous Research flagship LLM with tool-calling support) via `ollama run hermes3`.
• Adds Phi 3.5, a 3.8B-parameter lightweight model competitive with larger models.
• Adds SmolLM family of small models at 135M, 360M, and 1.7B parameters trained on a new high-quality dataset.
• Adds CUDA 12 support, improving performance by up to 10% on newer NVIDIA GPUs.
• Improves throughput of `ollama pull` and `ollama push` on slower network connections.
• Linux distribution now ships as a `tar.gz` archive bundling the `ollama` binary with required libraries.
Breaking changes:
• Ollama on Linux is now distributed as a `tar.gz` file instead of a standalone binary; existing install scripts or package pipelines that expected a bare binary will need to be updated to extract the archive.</description>
    </item>
    <item>
      <title>Ollama v0.3.6</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.3.6</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.3.6</guid>
      <pubDate>Tue, 13 Aug 2024 20:27:42 GMT</pubDate>
      <description>Ollama v0.3.6 adds Phi-3 Safetensors import, faster GGUF importing, and progress feedback for ollama create.
• Supports importing Phi-3 models from Safetensors via `ollama create`.
• Shows progress information during GGUF file imports in `ollama create`.
• Faster GGUF file importing by minimizing file copies.</description>
    </item>
    <item>
      <title>Ollama v0.3.4</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.3.4</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.3.4</guid>
      <pubDate>Tue, 06 Aug 2024 16:28:23 GMT</pubDate>
      <description>Ollama v0.3.4 adds a batch embedding API with normalization and metrics, plus three new multilingual embedding models.
• New `/api/embed` endpoint supports batch embedding generation — submit multiple documents in a single request.
• Normalized embeddings now returned by default from `/api/embed`, improving similarity search accuracy.
• New `truncate` parameter on `/api/embed` lets callers enforce strict input-length control.
• Embedding API responses now include `load_duration`, `total_duration`, and `prompt_eval_count` performance metrics.
• Adds BGE-M3, a multilingual multi-granularity large embedding model from BAAI.
• Adds BGE-Large, a large English embedding model.
• Adds Paraphrase-Multilingual, a multilingual embedding model supporting 50+ languages.
• NUMA support is now autodetected to improve inference performance on multi-socket systems.</description>
    </item>
    <item>
      <title>Ollama v0.3.3</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.3.3</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.3.3</guid>
      <pubDate>Fri, 02 Aug 2024 16:37:11 GMT</pubDate>
      <description>Ollama v0.3.3 adds timing and token-count metrics to both native and OpenAI-compatible embedding APIs.
• Adds `total_duration`, `load_duration`, and `prompt_eval_count` statistics to the `/api/embed` response.
• Adds usage metrics to the `/v1/embeddings` OpenAI compatibility endpoint.</description>
    </item>
    <item>
      <title>Ollama v0.3.1</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.3.1</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.3.1</guid>
      <pubDate>Tue, 30 Jul 2024 04:18:45 GMT</pubDate>
      <description>Ollama v0.3.1 adds Gemma 2 2B, min_p sampling, auto-detected stop params, and tool_calls finish_reason in the OpenAI-compatible API.
• Adds Gemma 2 2B (2-billion-parameter model by Google DeepMind) to the model library via `ollama run gemma2:2b`
• Supports `min_p` sampling option for more controlled text generation
• OpenAI-compatible API now returns `finish_reason: tool_calls` when a tool call occurs</description>
    </item>
    <item>
      <title>Ollama v0.3.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.3.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.3.0</guid>
      <pubDate>Thu, 25 Jul 2024 01:57:13 GMT</pubDate>
      <description>Ollama v0.3.0 adds tool/function-calling support via the Chat API, plus four new models including Llama 3.1 and Mistral Large 2.
• Adds tool calling support to the Chat API, enabling models to invoke functions, browse the web, run code interpreters, and interact with external APIs.
• Supports Llama 3.1 (8B, 70B, 405B) with native tool-calling capability.
• Supports Mistral Large 2 (123B) with 128k context, code generation, tool calling, math, and multilingual reasoning.
• Supports Firefunction v2, an open-weights function-calling model competitive with GPT-4o function calling.
• Supports Llama-3-Groq-Tool-Use, a series of models optimized for tool use and function calling.</description>
    </item>
    <item>
      <title>Ollama v0.2.8</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.2.8</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.2.8</guid>
      <pubDate>Sun, 21 Jul 2024 18:21:56 GMT</pubDate>
      <description>Ollama v0.2.8 adds Mistral Nemo (12B, 128k context) and NuExtract (3.8B info-extraction) models, plus template validation on create.
• Adds Mistral Nemo, a 12B model with 128k context length built by Mistral AI and NVIDIA, available via `ollama run mistral-nemo`.
• Adds NuExtract, a 3.8B Phi-3-based model fine-tuned for structured information extraction.
• `ollama create` now validates templates at creation time, catching errors before deployment.</description>
    </item>
    <item>
      <title>Ollama v0.2.6</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.2.6</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.2.6</guid>
      <pubDate>Thu, 18 Jul 2024 03:22:42 GMT</pubDate>
      <description>Ollama v0.2.6 adds Mathstral, a 7B math reasoning model from Mistral AI.
• Adds Mathstral, a 7B model from Mistral AI optimized for math reasoning and scientific discovery, available via `ollama pull mathstral`.</description>
    </item>
    <item>
      <title>Ollama v0.2.4</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.2.4</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.2.4</guid>
      <pubDate>Sat, 13 Jul 2024 18:03:13 GMT</pubDate>
      <description>Ollama v0.2.4 enables loading models larger than system memory when disk space is available.
• Supports loading models larger than system memory by spilling to disk when disk space is available.</description>
    </item>
    <item>
      <title>Ollama v0.2.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.2.0</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.2.0</guid>
      <pubDate>Tue, 02 Jul 2024 19:25:35 GMT</pubDate>
      <description>Ollama v0.2.0 adds concurrent request handling, multi-model loading, and three new models including Gemma 2.
• New `ollama ps` subcommand shows which models are currently loaded, along with size, processor utilization, and expiry time.
• Supports serving multiple simultaneous requests in parallel using only a small amount of additional memory per request — enabling concurrent chat sessions, code completion, document processing, and multi-agent workloads.
• Supports loading multiple different models into GPU memory at the same time, with automatic load/unload based on request demand and available GPU memory — enabling RAG pipelines where embedding and text completion models run side-by-side.
• Adds GLM-4, a multilingual general-purpose model competitive with Llama 3, to the Ollama model library.
• Adds CodeGeeX4, a code-completion and AI software development model, to the Ollama model library.
• Adds Gemma 2, Google&apos;s next-generation model with improved output quality, to the Ollama model library.
• Returns a descriptive error on Linux when the system lacks sufficient memory to load a model.</description>
    </item>
    <item>
      <title>Ollama v0.1.48</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.48</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.48</guid>
      <pubDate>Sat, 29 Jun 2024 03:30:26 GMT</pubDate>
      <description>Ollama v0.1.48 adds expanded model info display via `/show info` in `ollama run`
• The `/show info` command in `ollama run` now displays additional model information.</description>
    </item>
    <item>
      <title>Ollama v0.1.47</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.47</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.47</guid>
      <pubDate>Thu, 27 Jun 2024 06:09:56 GMT</pubDate>
      <description>Ollama v0.1.47 adds support for Google Gemma 2 models (9B and 27B).
• Adds support for Google Gemma 2 models in both 9B and 27B parameter sizes.</description>
    </item>
    <item>
      <title>Ollama v0.1.45</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.45</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.45</guid>
      <pubDate>Sat, 15 Jun 2024 19:11:17 GMT</pubDate>
      <description>Ollama v0.1.45 expands `ollama show` with full model metadata and adds DeepSeek-Coder-V2 support.
• Expands the `api/show` endpoint to return extensive model metadata.
• Reports GPU configuration variables in `ollama serve` output for improved observability.
• Enhanced GPU discovery and multi-GPU support with concurrency.
• Faster model loading on Windows with CUDA GPUs.</description>
    </item>
    <item>
      <title>Ollama v0.1.42</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.42</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.42</guid>
      <pubDate>Fri, 07 Jun 2024 07:06:58 GMT</pubDate>
      <description>Ollama v0.1.42 adds Qwen 2 models, faster pulls, auto prompt-template detection, and Electron/Tauri app access.
• `ollama create` now automatically detects prompt templates for popular model architectures including Llama, Gemma, and Phi.
• `ollama pull` is now faster when it detects a model is already partially or fully downloaded.
• Ollama can now be accessed from local apps built with Electron and Tauri, and from apps developed in local HTML files.</description>
    </item>
    <item>
      <title>Ollama v0.1.40</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.40</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.40</guid>
      <pubDate>Fri, 31 May 2024 05:49:35 GMT</pubDate>
      <description>Ollama v0.1.40 adds Codestral, IBM Granite Code, and DeepSeek V2 models to the library.
• Adds `codestral` to the Ollama model library — Mistral AI&apos;s first code model, designed for code generation tasks.
• Adds `granite-code` to the Ollama model library in `3b` and `8b` parameter sizes from IBM.
• Adds `deepseek-v2` to the Ollama model library — a Mixture-of-Experts language model.</description>
    </item>
    <item>
      <title>Ollama v0.1.39</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.39</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.39</guid>
      <pubDate>Wed, 22 May 2024 02:46:48 GMT</pubDate>
      <description>Ollama v0.1.39 adds Llama 3 Safetensors import, flash-attention flag, new models, and OLLAMA_NOHISTORY support
• Adds `OLLAMA_NOHISTORY=1` environment variable to disable shell history when using `ollama run`.
• Adds experimental `OLLAMA_FLASH_ATTENTION=1` environment variable flag for `ollama serve` to improve token generation speed on Apple Silicon Macs and NVIDIA GPUs.
• Adds `--quantize` flag to `ollama create` (e.g. `--quantize q4_0`) enabling import and quantization of Llama 3 and its finetunes from Safetensors format.
• `ollama create` now supports creating models from I-Quant GGUF files.
• Adds `Ctrl+W` keyboard shortcut to `ollama run`.
• Adds Cohere Aya 23 (`aya`), a multilingual LLM covering 23 languages, to the model library.
• Adds Mistral 7B v0.3 (`mistral:v0.3`) with initial function calling support to the model library.
• Adds Phi-3 Medium (`phi3:medium`), a 14B-parameter open model by Microsoft, to the model library.
• Adds Phi-3 Mini 128K (`phi3:mini-128k`) and Phi-3 Medium 128K (`phi3:medium-128k`) with 128K context window support to the model library.
• Adds IBM Granite Code (`granite-code`), a family of open foundation models for code intelligence, to the model library.</description>
    </item>
    <item>
      <title>Ollama v0.1.38</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.38</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.38</guid>
      <pubDate>Wed, 15 May 2024 00:28:00 GMT</pubDate>
      <description>Ollama v0.1.38 adds `ollama ps` to inspect loaded models and `/clear` to reset chat session history.
• Adds `ollama ps` command to display currently loaded models, their memory footprint (in GB/MB), and processor usage (GPU vs CPU percentages).
• Adds `/clear` command inside `ollama run` sessions to reset chat history without ending the session.
• Adds Falcon 2, an 11B-parameter causal decoder-only model trained on 5T tokens, available via `ollama pull falcon2`.
• Adds Yi 1.5 (Apache 2.0) in 6B (`yi:6b`), 9B (`yi:9b`), and 34B (`yi:34b`) sizes.</description>
    </item>
    <item>
      <title>Ollama v0.1.35</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.35</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.35</guid>
      <pubDate>Fri, 10 May 2024 15:15:29 GMT</pubDate>
      <description>Ollama v0.1.35 adds on-the-fly quantization via `--quantize` flag and a new `done_reason` field in API responses.
• Adds `--quantize` / `-q` flag to `ollama create` to quantize `float16` or `float32` models (from GGUF files or library models) at import time, supporting formats such as `q4_0`.
• Adds `done_reason` field to API responses describing why generation stopped.
• Adds Llama 3 ChatQA model (`llama3-chatqa`), an NVIDIA model optimised for conversational QA and retrieval-augmented generation.</description>
    </item>
    <item>
      <title>Ollama v0.1.34</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.34</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.34</guid>
      <pubDate>Tue, 07 May 2024 05:13:41 GMT</pubDate>
      <description>Ollama v0.1.34 adds five new models including multimodal Llava Llama 3 and Llava Phi 3.
• Adds Llava Llama 3 (`llava-llama3`), a high-performing multimodal LLaVA model fine-tuned from Llama 3 Instruct.
• Adds Llava Phi 3 (`llava-phi3`), a small multimodal LLaVA model fine-tuned from Phi 3.
• Adds StarCoder2 15B Instruct (`starcoder2:15b-instruct`), an instruction-tuned variant of the StarCoder2 code model.
• Adds CodeGemma 1.1 (`codegemma`), an updated release of Google&apos;s CodeGemma model.
• Adds StableLM2 12B (`stablelm2:12b`), a new 12B parameter version of Stability AI&apos;s StableLM 2 model.
• Updates Moondream 2 (`moondream`) with improved runtime parameters for better response quality.</description>
    </item>
    <item>
      <title>Ollama v0.1.33</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.33</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.33</guid>
      <pubDate>Sun, 28 Apr 2024 17:51:17 GMT</pubDate>
      <description>Ollama v0.1.33 adds Llama 3 and experimental concurrency via OLLAMA_NUM_PARALLEL and OLLAMA_MAX_LOADED_MODELS
• Adds `OLLAMA_NUM_PARALLEL` environment variable to handle multiple simultaneous requests for a single model (experimental).
• Adds `OLLAMA_MAX_LOADED_MODELS` environment variable to load multiple models into memory simultaneously (experimental).
• Adds Llama 3 (Meta), Phi 3 Mini (Microsoft 3.8B), Moondream (edge vision-language model), Llama 3 Gradient 1048K (up to 1M token context), Dolphin Llama 3, and Qwen 110B to the model library.</description>
    </item>
    <item>
      <title>Ollama v0.1.32</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.32</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.32</guid>
      <pubDate>Wed, 10 Apr 2024 23:01:58 GMT</pubDate>
      <description>Ollama v0.1.32 adds five new models including WizardLM 2 and Mixtral 8x22B, plus smarter GPU/CPU model splitting on macOS.
• Adds `wizardlm2:8x22b` and `wizardlm2:7b` (WizardLM 2 from Microsoft AI) with improved performance on complex chat, multilingual, reasoning, and agent use cases.
• Adds `snowflake-arctic-embed`, a suite of text embedding models by Snowflake optimized for retrieval performance.
• Adds `command-r-plus`, a large language model purpose-built for RAG use cases.
• Adds `dbrx`, a 132B open general-purpose LLM created by Databricks.
• Adds `mixtral:8x22b`, Mistral AI&apos;s new Mixture of Experts base model.
• On macOS, Ollama now splits models that exceed available VRAM across GPU and CPU to maximize inference performance for large models.
• Improves VRAM utilization to reduce out-of-memory errors and increase GPU efficiency.</description>
    </item>
    <item>
      <title>Ollama v0.1.31</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.31</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.31</guid>
      <pubDate>Fri, 05 Apr 2024 16:09:53 GMT</pubDate>
      <description>Ollama v0.1.31 adds embedding model support with REST API, Python, and JavaScript library access for RAG workflows.
• Adds embedding model support via the REST API, Python library (`ollama-python`), and JavaScript library (`ollama-js`), enabling retrieval-augmented generation (RAG) applications.
• Adds Qwen 1.5 32B (`qwen:32b`), a multilingual model competitive with larger models.
• Adds StarlingLM Beta (`starling-lm:beta`), a 7B model with Apache 2.0 license.
• Adds DolphinCoder StarCoder 7B (`dolphincoder:7b`), an uncensored coding-focused variant based on StarCoder2.
• Adds StableLM 1.6 Chat (`stablelm2:chat`), an instruction-tuned version of StableLM 1.6.</description>
    </item>
    <item>
      <title>Ollama v0.1.30</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.30</link>
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      <pubDate>Tue, 26 Mar 2024 18:19:40 GMT</pubDate>
      <description>Ollama v0.1.30 adds Command R and mxbai-embed-large models plus improved AMD MI300/MI300X accelerator support.
• Adds `command-r` to the model library: a large language model optimized for conversational interaction and long-context tasks.
• Adds `mxbai-embed-large` to the model library: a state-of-the-art large embedding model.
• Improved support for AMD MI300 and MI300X accelerators.
Breaking changes:
• Model data filenames in `~/.ollama/models/blobs` are renamed from using `:` to `-` as a separator. The change is applied automatically on upgrade, but downgrading to v0.1.29 or lower on Linux or macOS requires manually reverting the filenames: `find ~/.ollama/models/blobs -type f -exec bash -c &apos;mv &quot;$0&quot; &quot;${0//-/:}&quot;&apos; {} \;`</description>
    </item>
    <item>
      <title>Ollama v0.1.29</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.29</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.29</guid>
      <pubDate>Sun, 10 Mar 2024 02:24:04 GMT</pubDate>
      <description>Ollama v0.1.29 adds AMD GPU acceleration and experimental Safetensors model import via Modelfile
• Adds experimental Safetensors model import via the `FROM &lt;directory with safetensors model&gt;` directive in a Modelfile.
• Shows documentation for supported environment variables when running `ollama &lt;command&gt; -h`.
• Adds AMD GPU acceleration support (preview) on Windows, Linux, and Docker, covering AMD Radeon RX, Radeon PRO, and Instinct families including `MI300X`, `7900 XTX`, `W7900`, and more.</description>
    </item>
    <item>
      <title>Ollama v0.1.28</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.28</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.28</guid>
      <pubDate>Fri, 01 Mar 2024 06:41:09 GMT</pubDate>
      <description>Ollama v0.1.28 adds StarCoder2 and DolphinCoder models with improved LLaVA 1.6 support.
• Adds `starcoder2` model (3B, 7B, and 15B parameter variants), a transparently trained open code LLM.
• Adds `dolphincoder` model, a code-focused chat model based on StarCoder2 15B.
• Improves support for `llava` 1.6 models.
• Vision models such as `llava` now respond better to text-only prompts.</description>
    </item>
    <item>
      <title>Ollama v0.1.27</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.27</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.27</guid>
      <pubDate>Thu, 22 Feb 2024 22:55:46 GMT</pubDate>
      <description>Ollama v0.1.27 adds support for Google&apos;s Gemma family of models in 2b and 7b parameter sizes.
• Adds support for Google&apos;s Gemma lightweight open models, runnable via `ollama run gemma:2b` or `ollama run gemma:7b`.</description>
    </item>
    <item>
      <title>Ollama v0.1.26</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.26</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.26</guid>
      <pubDate>Wed, 21 Feb 2024 04:20:05 GMT</pubDate>
      <description>Ollama v0.1.26 adds support for `bert` and `nomic-bert` embedding models.
• Supports `bert` and `nomic-bert` embedding models.</description>
    </item>
    <item>
      <title>Ollama v0.1.25</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.25</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.25</guid>
      <pubDate>Wed, 14 Feb 2024 07:21:20 GMT</pubDate>
      <description>Ollama v0.1.25 brings native Windows preview with GPU acceleration, full model library access, and OpenAI-compatible API.
• Setting `keep_alive` to a negative value (e.g. `-1`) now keeps a model loaded indefinitely, enabling persistent in-memory model serving.
• Ollama is now available natively on Windows (preview), with built-in GPU acceleration, access to the full model library, and the Ollama API including OpenAI compatibility.</description>
    </item>
    <item>
      <title>Ollama v0.1.24</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.24</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.24</guid>
      <pubDate>Thu, 08 Feb 2024 03:02:10 GMT</pubDate>
      <description>Ollama v0.1.24 adds OpenAI Chat Completions API compatibility and the Qwen 1.5 model family.
• Adds `POST /v1/chat/completions` endpoint providing initial OpenAI Chat Completions API compatibility, enabling existing OpenAI-compatible clients and SDKs to point at a local Ollama instance without code changes.
• Adds Qwen 1.5 model family (`qwen`) from Alibaba Cloud, spanning 0.5B to 72B parameter sizes, available via the Ollama model library.</description>
    </item>
    <item>
      <title>Ollama v0.1.23</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.23</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.23</guid>
      <pubDate>Fri, 02 Feb 2024 06:34:56 GMT</pubDate>
      <description>Ollama v0.1.23 adds `keep_alive` API parameter, LLaVA 1.6 vision models, and broader Nvidia GPU support.
• Adds `keep_alive` parameter to the `/api/generate` (and `/api/chat`) API to control how long a model stays loaded in memory — accepts positive durations (e.g. `20m`, `1hr`, `30`), `0` to unload immediately, or a negative value (e.g. `-1`) to keep loaded indefinitely; default is 5 minutes.
• Enables passing image paths to `ollama run` when running multimodal models.
• `ollama serve` now prints the prompt when the `OLLAMA_DEBUG=1` environment variable is set.
• `ollama run` now allows sending messages without images to multimodal models.
• Updates the LLaVA model family to version 1.6, adding a new `llava:34b` variant alongside the existing `llava` (7B) and `llava:13b`, with support for up to 4x higher image resolution and improved text/chart/diagram reasoning.
• Adds GPU support for Nvidia compute capability 5 devices, including GeForce GTX 900/700-series, Quadro M-series, Tesla M60/M40, and NVS 810.</description>
    </item>
    <item>
      <title>Ollama v0.1.22</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.22</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.22</guid>
      <pubDate>Fri, 26 Jan 2024 18:19:36 GMT</pubDate>
      <description>Ollama v0.1.22 adds Stable LM 2, a 1.6B small language model.
• Adds support for Stable LM 2 (`stablelm2`), a state-of-the-art 1.6B small language model, to the Ollama model library.</description>
    </item>
    <item>
      <title>Ollama v0.1.21</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.21</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.21</guid>
      <pubDate>Sat, 20 Jan 2024 01:20:10 GMT</pubDate>
      <description>Ollama v0.1.21 adds conversation save/load, MESSAGE Modelfile command, Python/JS libraries, and broader CPU support
• Adds `/save &lt;model&gt;` and `/load &lt;model&gt;` commands inside `ollama run` to persist and restore conversations and model settings (including `/set parameter` and `/set system` changes) as a named model.
• Adds `MESSAGE` Modelfile command to pre-seed conversation history when building a model with `ollama create`, enabling techniques like Chain-Of-Thought prompting.
• Publishes first-release official Python (ollama-python) and JavaScript (ollama-js) client libraries for Ollama.
• Extends CPU support to processors without AVX instructions, enabling Ollama to run in virtual machines, Rosetta, and GitHub Actions environments.
• Delivers ~10% model inference speed boost on CPUs with AVX2 support.
• Adds GPU-to-CPU automatic fallback when a GPU detection error is encountered at model load time.
• Adds four new models to the library: Qwen (1.8B–72B), DuckDB-NSQL (text-to-SQL for DuckDB), Stable Code, and Nous Hermes 2 Mixtral.
• Improves Nvidia GPU detection, especially under WSL.</description>
    </item>
    <item>
      <title>Ollama v0.1.20</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.20</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.20</guid>
      <pubDate>Thu, 11 Jan 2024 07:12:52 GMT</pubDate>
      <description>Ollama v0.1.20 adds MegaDolphin 120B and updates OpenChat and Dolphin Mistral models.
• Adds `megadolphin` to the model library: a 120B parameter version of the Dolphin model.
• Updates `openchat` to version `3.5-0106`.
• Updates `dolphin-mistral` to the latest DPO Laser version for higher benchmark scores and more robust outputs.
• Adds correct multi-GPU memory allocation across all GPUs on multi-GPU machines.</description>
    </item>
    <item>
      <title>Ollama v0.1.19</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.19</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.19</guid>
      <pubDate>Mon, 08 Jan 2024 22:45:52 GMT</pubDate>
      <description>Ollama v0.1.19 adds LLaMa-Pro model support, expandable context windows via `num_ctx`, and broader `OLLAMA_ORIGINS` URL support.
• Sets context window size via `num_ctx` in `/set parameter num_ctx` (CLI) or the `options.num_ctx` field in the `POST /api/generate` JSON body — enabling up to 32K context with models like Mistral.
• `OLLAMA_ORIGINS` environment variable now accepts browser extension URLs, widening permitted request origins.
• Adds the LLaMa-Pro model to the library — an 8B expansion of LLaMa by Tencent specializing in language, programming, and mathematics.
• Offloads more processing to the GPU where possible, improving throughput on supported hardware.
• Enables larger models such as `mixtral` to run on Macs with less memory.</description>
    </item>
    <item>
      <title>Ollama v0.1.18</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.18</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.18</guid>
      <pubDate>Wed, 03 Jan 2024 18:00:23 GMT</pubDate>
      <description>Ollama v0.1.18 adds four new models and a keyboard shortcut help command in the CLI.
• Adds `/? shortcuts` help command inside `ollama run` to list available keyboard shortcuts.
• Adds TinyLlama (1.1B) to the model library: `ollama run tinyllama`.
• Adds OpenHermes 2 (7B, Mistral fine-tune) to the model library: `ollama run openhermes`.
• Adds WizardCoder 33B code-generation model to the model library: `ollama run wizardcoder:33b`.
• Adds Dolphin Phi (2.7B, uncensored, Microsoft Phi-based) to the model library: `ollama run dolphin-phi`.
• Ollama now automatically pulls new models when an older `ggml` format model is run, removing the need to manually fetch updated versions.
Breaking changes:
• Custom `ggml` format models referenced in a `Modelfile` will no longer work as before — they must be imported as GGUF models instead.</description>
    </item>
    <item>
      <title>Ollama v0.1.17</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.17</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.17</guid>
      <pubDate>Tue, 19 Dec 2023 03:37:09 GMT</pubDate>
      <description>Ollama v0.1.17 adds Microsoft Phi-2, Solar, and OpenChat models plus a guaranteed `message` object in `/api/chat` responses.
• Adds `phi` model support via `ollama run phi` — Microsoft&apos;s Phi-2 2.7B model with reasoning and language understanding comparable to 13B models, including a default multi-turn conversation prompt template.
• `/api/chat` now always returns a `message` object in every response, even when `content` is an empty string.
• Adds `solar` model (`ollama run solar`) — a 10.7B model designed for single-turn conversation.
• Updates `openchat` model to OpenChat-3.5-1210, a 7B model with improved coding task performance.
• Updates `wizard-math` model to WizardMath v1.1, a 7B math reasoning model now based on Mistral.</description>
    </item>
    <item>
      <title>Ollama v0.1.16</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.16</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.16</guid>
      <pubDate>Thu, 14 Dec 2023 16:58:28 GMT</pubDate>
      <description>Ollama v0.1.16 adds Mixtral and Mixture of Experts (MoE) architecture support.
• Adds support for the Mixtral model via `ollama run mixtral` (requires at least 48 GB of memory), enabling use of a high-quality open-weights mixture of experts model.
• Adds support for Mixture of Experts (MoE) architecture broadly, enabling other MoE-based models beyond Mixtral.
• Adds Dolphin Mixtral (`jmorgan/dolphin-mixtral`), an uncensored fine-tuned MoE model optimized for coding tasks.</description>
    </item>
    <item>
      <title>Ollama v0.1.15</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.15</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.15</guid>
      <pubDate>Tue, 12 Dec 2023 06:44:37 GMT</pubDate>
      <description>Ollama v0.1.15 adds multimodal model support with image inputs via CLI and API, plus enriched model details from the show endpoint.
• Adds `images` parameter to the Generate API (`POST /api/generate`) accepting a list of base64-encoded `png` or `jpeg` images up to 100MB each, enabling vision-capable models like LLaVA.
• Adds `images` field to `user` role messages in the Chat API (`POST /api/chat`), allowing image inputs in multi-turn conversations.
• Extends `POST /api/show` to return a `details` object with `format`, `families`, `parameter_size`, and `quantization_level` fields for the requested model.
• Adds multimodal image input to `ollama run`: include a full path to a `png` or `jpeg` file directly in the prompt to pass images to vision models.
• Adds two new multimodal models to the library: `llava` (7B and 13B) and `bakllava` (Mistral 7B + LLaVA architecture).</description>
    </item>
    <item>
      <title>Ollama v0.1.14</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.14</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.14</guid>
      <pubDate>Fri, 08 Dec 2023 18:02:20 GMT</pubDate>
      <description>Ollama v0.1.14 adds a Chat API with message history, a version endpoint, and two new models.
• New `POST /api/chat` endpoint accepts a `messages` array with `role` and `content` fields, enabling multi-turn chat with full conversation history passed per request.
• New `GET /api/version` endpoint for programmatically checking the running Ollama version.
• Adds version-mismatch warning when connecting to a remote instance via `OLLAMA_HOST`.
• Adds StableLM Zephyr (`stablelm-zephyr`), a lightweight chat model designed for low-end hardware.
• Adds Magicoder (`magicoder`), a family of 7B models trained on 75K synthetic OSS-Instruct code snippets.</description>
    </item>
    <item>
      <title>Ollama v0.1.13</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.13</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.13</guid>
      <pubDate>Thu, 30 Nov 2023 04:24:49 GMT</pubDate>
      <description>Ollama v0.1.13 adds in-session system prompt and parameter tuning via `/set`, plus three new models.
• Adds `/set system &lt;system prompt&gt;` command inside `ollama run` to set the system prompt interactively during a session.
• Adds `/set parameter &lt;parameter&gt; &lt;value&gt;` command inside `ollama run` to tune inference parameters (e.g. `num_ctx`, `temperature`, `seed`) without restarting.
• Adds three new models to the Ollama library: `starling-lm` (RLHF-trained chat), `meditron` (Llama 2 adapted for medical domain), and `deepseek-llm` (2-trillion-token bilingual LLM).
• Improves `ollama pull` progress bar with a simpler design showing more consistent download speed and remaining time.</description>
    </item>
    <item>
      <title>Ollama v0.1.12</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.12</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.12</guid>
      <pubDate>Sun, 26 Nov 2023 20:17:15 GMT</pubDate>
      <description>Ollama v0.1.12 adds Yi Chat 34B and improves multi-line prompt handling in the CLI.
• Adds Yi Chat (the chat variant of the Yi 34B model) to the Ollama model library, available via `ollama run yi`.
• Supports multi-line prompts delimited by `&quot;&quot;&quot;` and improved paste functionality in `ollama run`.
• Adds Option (Alt) + Backspace word-deletion keybinding in the `ollama run` interactive prompt.</description>
    </item>
    <item>
      <title>Ollama v0.1.11</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.11</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.11</guid>
      <pubDate>Mon, 20 Nov 2023 23:07:00 GMT</pubDate>
      <description>Ollama v0.1.11 adds Orca 2, DeepSeek Coder, and Alfred models plus GPU support for q5_0 and q5_1 quantizations.
• Adds `q5_0` and `q5_1` quantized models to GPU execution, unlocking faster inference for those quantization levels.
• Adds Orca 2 model (`orca2`), a Llama 2 fine-tune optimized for reasoning tasks.
• Adds DeepSeek Coder model (`deepseek-coder`), a code-focused model available in 1.3B, 6.7B, and 33B parameter sizes.
• Adds Alfred model (`alfred`), a conversational model supporting both chat and instruct use cases.</description>
    </item>
    <item>
      <title>Ollama v0.1.10</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.10</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.1.10</guid>
      <pubDate>Fri, 17 Nov 2023 01:38:11 GMT</pubDate>
      <description>Ollama v0.1.10 adds JSON mode for `ollama run`, stdin prompt piping, and remote model builds via `OLLAMA_HOST`.
• Adds `--format json` flag to `ollama run` to enable JSON output mode from the command line.
• Adds `/set format json` in-session command to switch an active `ollama run` chat session to JSON mode.
• `ollama create` now respects `OLLAMA_HOST` to build models against a remote Ollama instance.
• Enables piping prompts into `ollama run` via standard input, allowing shell pipelines like `head -30 README.md | ollama run codellama &apos;&lt;question&gt;&apos;`.
• Adds three new models to the library: OpenChat (`ollama run openchat`), Neural-chat (`ollama run neural-chat`), and Goliath (`ollama run goliath`).</description>
    </item>
    <item>
      <title>Ollama v0.1.9</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.9</link>
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      <pubDate>Fri, 10 Nov 2023 05:03:10 GMT</pubDate>
      <description>Ollama v0.1.9 adds JSON mode and raw mode to /api/generate, plus a new bilingual Yi model.
• Adds `format` parameter to `POST /api/generate` — set it to `json` to force models to always return valid JSON (JSON mode).
• Adds `raw` parameter to `POST /api/generate` — set `{&quot;raw&quot;: true}` to bypass Ollama&apos;s prompt templating entirely (raw mode).
• Adds the Yi bilingual model (English and Chinese) to the Ollama library, available via `ollama pull yi`.</description>
    </item>
    <item>
      <title>Ollama v0.1.8</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.8</link>
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      <pubDate>Sat, 04 Nov 2023 00:06:42 GMT</pubDate>
      <description>Ollama v0.1.8 adds five new models and dramatically faster push speeds up to 1 GB/s for large models.
• Adds `codebooga` to the model library: a high-performing code instruct model created by merging two existing code models.
• Adds `dolphin2.2-mistral` to the model library: a Mistral-based instruct-tuned model fine-tuned for improved conversation and empathy.
• Adds `mistrallite` to the model library: a Mistral fine-tune with enhanced long-context processing capabilities.
• Ollama now honours large context sizes on models such as `codellama` and `mistrallite`.
• `ollama push` is now dramatically faster: 7B models push at up to ~100 MB/s and 70B+ models at up to 1 GB/s when network permits.</description>
    </item>
    <item>
      <title>Ollama v0.1.6</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.6</link>
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      <pubDate>Fri, 27 Oct 2023 20:58:19 GMT</pubDate>
      <description>Ollama v0.1.6 adds two new models, multi-line paste in `ollama run`, and configurable model storage via `OLLAMA_MODELS`.
• Adds `OLLAMA_MODELS` environment variable to configure where Ollama stores models.
• `OLLAMA_HOST` now defaults to port `443` when `https://` is specified and port `80` when `http://` is specified, removing the need to manually append ports.
• Enables pasting multi-line strings in `ollama run`.
• All `chat` and `instruct` library models now support setting the `system` parameter via the `SYSTEM` command in the `Modelfile`.
• Adds Dolphin 2.1 Mistral (`dolphin2.1-mistral`), an instruct-tuned model based on Mistral trained on a dataset filtered to remove alignment and bias.
• Adds Zephyr Beta (`zephyr`), a Mistral-based model with chat performance reported to meet or exceed Llama 2 70b in several categories.</description>
    </item>
    <item>
      <title>Ollama v0.1.4</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.4</link>
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      <pubDate>Fri, 20 Oct 2023 12:56:15 GMT</pubDate>
      <description>Ollama v0.1.4 adds OpenHermes 2 Mistral, faster model switching, and unicode support for starcoder/sqlcoder/falcon.
• Adds `ollama pull starcoder` (and `sqlcoder`, `falcon`) to get updated builds with full unicode support — existing pulls must be re-pulled.
• Faster model switching: models stay loaded between requests when switching parameters (e.g. `temperature`) or system prompts, eliminating reload overhead.
• Adds OpenHermes 2 Mistral to the model library (`ollama pull openhermes2-mistral`), a Mistral fine-tune trained on 900,000+ instructions with strong multi-turn chat performance.
• `ollama serve` now prints the current Ollama version on startup.
• `ollama run` now surfaces descriptive runtime errors (e.g. insufficient memory) instead of silent failures.
• New documentation guide for importing existing models (GGUF, PyTorch, etc.) into Ollama.</description>
    </item>
    <item>
      <title>Ollama v0.1.2</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.2</link>
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      <pubDate>Thu, 12 Oct 2023 18:46:02 GMT</pubDate>
      <description>Ollama v0.1.2 adds non-streaming API responses, HTTP/HTTPS proxy support, two new models, and 25x faster pull speeds.
• Adds `stream: false` parameter to API endpoints (e.g. `/api/generate`) to return a complete, non-streaming response in a single payload instead of a token stream.
• Supports HTTP and HTTPS proxies via the `HTTP_PROXY=http://&lt;proxy&gt;` and `HTTPS_PROXY=https://&lt;proxy&gt;` environment variables.
• Adds two new models to the library: `zephyr` (fine-tuned Mistral 7B) and `mistral-openorca` (Mistral 7B fine-tuned on the OpenOrca dataset).
• `ollama pull` download speeds improved from ~60 MB/s to over 1.5 GB/s (25x) on fast network connections, enabling practical use of large models over high-bandwidth links.
• `q8_0`, `q5_0`, `q5_1`, and `f32` quantization formats now use GPU acceleration on Linux.
• `ollama create` now displays feedback while reading model metadata.</description>
    </item>
    <item>
      <title>Ollama v0.1.1</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.1</link>
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      <pubDate>Mon, 02 Oct 2023 21:47:27 GMT</pubDate>
      <description>Ollama v0.1.1 adds cancellable responses and clean session exit controls for `ollama run`.
• Adds `Ctrl+C` to cancel in-progress responses during an `ollama run` session.
• Adds `Ctrl+D` and `/bye` as exit commands for `ollama run` sessions.</description>
    </item>
    <item>
      <title>Ollama v0.1.0</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.1.0</link>
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      <pubDate>Sat, 23 Sep 2023 13:22:41 GMT</pubDate>
      <description>Ollama v0.1.0 adds Linux support with out-of-the-box Nvidia GPU acceleration and multi-GPU server compatibility.
• Adds Linux support with Nvidia GPU acceleration enabled out-of-the-box, installable via `curl https://ollama.ai/install.sh | sh`.
• Supports multi-GPU cloud servers, automatically offloading as many model layers as the GPU(s) can handle for maximum performance.
• Supports WSL 2 with GPU acceleration.
• Runs on CPU-only systems as well as a wide range of GPUs, from hobby gaming cards to workstation-class hardware such as the H100.</description>
    </item>
    <item>
      <title>Ollama v0.0.20</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.0.20</link>
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      <pubDate>Fri, 22 Sep 2023 22:04:24 GMT</pubDate>
      <description>Ollama v0.0.20 adds IPv6 support, auto-pull on remote, faster model loading, and a Python client library.
• Adds `api/client.py`, a Python client library for accessing Ollama programmatically.
• `OLLAMA_HOST` now accepts IPv6 hostnames.
• Sending an empty `prompt` field to `/api/generate` pre-loads the model so the next request is faster.
• `ollama run` now loads models immediately on startup, reducing latency even on the first prompt.
• `ollama run` automatically pulls models that don&apos;t exist when connected to a remote Ollama instance.
• `ollama run` gains hint text display and terminal-width word-wrapping for improved readability.
• Progress reporting improved for `ollama pull` and `ollama push`.</description>
    </item>
    <item>
      <title>Ollama v0.0.19</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.0.19</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.0.19</guid>
      <pubDate>Mon, 11 Sep 2023 20:39:30 GMT</pubDate>
      <description>Ollama v0.0.19 adds GGUF model import support and automatic local data cleanup.
• Supports importing and running GGUF file type models locally.
• Automatically cleans up unused local model data.
• Updated Docker image available via `docker pull ollama/ollama`.</description>
    </item>
    <item>
      <title>Ollama v0.0.18</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.0.18</link>
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      <pubDate>Wed, 06 Sep 2023 20:54:27 GMT</pubDate>
      <description>Ollama v0.0.18 adds `ollama show` command to inspect model system prompts, parameters, templates, and Modelfiles.
• New `ollama show` command with `--system`, `--parameters`, `--template`, and `--modelfile` flags to inspect a model&apos;s system prompt, parameters, default prompt template, and Modelfile respectively.
• Adds a new sentiments example contributed by @technovangelist.
• Building from source now requires running `go generate ./...` to generate dependencies, with `cmake` as a new build prerequisite.
Breaking changes:
• Building from source now requires running `go generate ./...` before `go build .`, and `cmake` must be installed — existing build workflows that skip this step will fail.</description>
    </item>
    <item>
      <title>Ollama v0.0.17</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.0.17</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.0.17</guid>
      <pubDate>Wed, 30 Aug 2023 18:21:30 GMT</pubDate>
      <description>Ollama v0.0.17 adds multi-model removal and unique content-based IDs in `ollama list`.
• Supports removing multiple models in a single command: `ollama rm mario:latest orca-mini:3b`
• `ollama list` now displays a unique content-based ID for each model.</description>
    </item>
    <item>
      <title>Ollama v0.0.16</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.0.16</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.0.16</guid>
      <pubDate>Sat, 26 Aug 2023 01:49:19 GMT</pubDate>
      <description>Ollama v0.0.16 adds version flags, 34B model support, and HTTPS model paths for `ollama run`
• Adds `ollama -v` and `ollama --version` flags to check the installed Ollama version.
• Supports running 34B parameter models such as `codellama` via `ollama run`.
• Accepts model names or paths prefixed with `https://` when using `ollama run`.</description>
    </item>
    <item>
      <title>Ollama v0.0.15</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.0.15</link>
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      <pubDate>Fri, 18 Aug 2023 00:52:01 GMT</pubDate>
      <description>Ollama v0.0.15 adds remote host targeting, fine-tuned model adapters, smarter embedding reuse, and a public model library.
• Supports targeting remote Ollama hosts via `OLLAMA_HOST=&lt;host&gt; ollama run llama2`, enabling centralized model serving.
• Adds `ADAPTER` Modelfile instruction to `ollama create` for experimental creation of fine-tuned models.
• Adds `context` field to `/api/generate` API documentation, surfacing conversation context as a named API surface.
• Skips regenerating embeddings in `EMBED` Modelfile blocks when input files have not changed, reducing redundant computation.
• Reuses an already-loaded model for `/api/embeddings` requests when one is available, avoiding redundant model loads.
• Parses memory requirements from ggml format models to validate GPU support before running.
• Launches public model library at ollama.ai/library, making curated models browsable and downloadable.
• Logs embedding eval timing for performance observability.
• Adds `dockerit` example tool for building and running applications in Docker containers.</description>
    </item>
    <item>
      <title>Ollama v0.0.14</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.0.14</link>
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      <pubDate>Thu, 10 Aug 2023 22:46:38 GMT</pubDate>
      <description>Ollama v0.0.14 adds LangChain integration, embeddings API, 70B Metal models, and a configurable OLLAMA_HOST
• New `/api/embeddings` endpoint enables embedding generation for any loaded model.
• New `EMBED` instruction in the Modelfile for experimental embedding configuration.
• Adds LangChain integration for using Ollama as an LLM backend in Python LangChain pipelines.
• Adds `llama2:70b` model with Apple Metal GPU support (recommended 64 GB+ RAM), runnable via `ollama run llama2:70b`.
• Adds `llama2-uncensored:70b` model with Metal support, runnable via `ollama run llama2-uncensored:70b`.
• Adds configurable rope frequency parameters for fine-grained model context control.
• `ollama pull` now supports concurrent pulls of the same model across multiple terminal windows.</description>
    </item>
    <item>
      <title>Ollama v0.0.13</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.0.13</link>
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      <pubDate>Wed, 02 Aug 2023 16:07:52 GMT</pubDate>
      <description>Ollama v0.0.13 adds Intel Mac support, `/show` model inspector, `--verbose` load timing, and auto-start from CLI.
• Adds `--verbose` flag to `ollama run` to display model load duration times.
• Adds `/show` command inside `ollama run` sessions to inspect the currently loaded model.
• Supports multi-line string input in `ollama run` using triple-quote (`&quot;&quot;&quot;`) delimiters.
• Auto-starts the Ollama server when invoking the CLI without Ollama already running.
• Extends Intel Mac support, enabling Ollama to run on that platform for the first time.
• Models now stay loaded in memory between messages automatically, accelerating series of prompts.
• Removes the update dialog in favor of a subtle tray-menu hint when a new version is ready.</description>
    </item>
    <item>
      <title>Ollama v0.0.12</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.0.12</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.0.12</guid>
      <pubDate>Wed, 26 Jul 2023 15:04:39 GMT</pubDate>
      <description>Ollama v0.0.12 adds `ollama cp` for renaming models, k-quant support, and localhost CORS access for its API.
• Adds support for running k-quant models.
• `ollama create` now automatically pulls models referenced in a `FROM` instruction that are not available locally.
• Enables Apple Accelerate framework for performance improvements.
• Ollama&apos;s API now accepts requests from websites hosted on `localhost` (CORS support).</description>
    </item>
    <item>
      <title>Ollama v0.0.11</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.0.11</link>
      <guid isPermaLink="true">https://github.com/ollama/ollama/releases/tag/v0.0.11</guid>
      <pubDate>Fri, 21 Jul 2023 20:59:54 GMT</pubDate>
      <description>Ollama v0.0.11 adds `ollama list` and `ollama rm` subcommands plus checksum verification on `ollama pull`.
• New `ollama list` subcommand displays all locally downloaded models with their size and last-modified time.
• New `ollama rm` subcommand deletes a locally stored model by name.
• The `ollama pull` subcommand now verifies downloaded model integrity against its checksum.</description>
    </item>
    <item>
      <title>Ollama v0.0.3</title>
      <link>https://github.com/ollama/ollama/releases/tag/v0.0.3</link>
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      <pubDate>Tue, 11 Jul 2023 23:53:25 GMT</pubDate>
      <description>Ollama v0.0.3 adds larger prompt support, better error reporting, and moves logs to ~/.ollama/logs
• Logs are now written to `~/.ollama/logs` for easier debugging and audit.
• `ollama run` now supports a larger prompt, removing a previous size constraint.
• `ollama run` now prints better errors when a problem is encountered.
• Much faster performance across the board.</description>
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