https://aitoolchain.io/tools/llmfit New releases and features in llmfit, tracked by The AI Toolchain. en Mon, 17 Aug 2026 07:12:24 GMT https://github.com/AlexsJones/llmfit/releases/tag/v1.1.10 https://github.com/AlexsJones/llmfit/releases/tag/v1.1.10 Mon, 17 Aug 2026 07:12:24 GMT llmfit v1.1.10 adds RamaLama runtime discovery via MCP and expands the model catalog with the Qwen3.8 family. • Adds the Qwen3.8 model family to the built-in catalog, making Qwen3.8 variants scoreable and recommendable against local hardware. https://github.com/AlexsJones/llmfit/releases/tag/v1.1.8 https://github.com/AlexsJones/llmfit/releases/tag/v1.1.8 Tue, 04 Aug 2026 07:56:05 GMT llmfit v1.1.8 adds per-preset benchmark counts to the TUI hardware picker. • Displays per-preset benchmark counts in the TUI hardware picker, so you can see at a glance how many community measurements back each hardware preset. https://github.com/AlexsJones/llmfit/releases/tag/v1.1.7 https://github.com/AlexsJones/llmfit/releases/tag/v1.1.7 Mon, 03 Aug 2026 05:08:40 GMT llmfit v1.1.7 adds a `--providers` filter to `fit`, RamaLama store discovery, and GGUF-source row markers in the TUI. • Adds `--providers` flag to `llmfit fit`, accepting a comma-separated, case-insensitive list of provider names (e.g. `unsloth,bartowski`) to narrow fit results to specific canonical or GGUF providers. • Detects RamaLama store models via `ramalama ls` when no server is running, so locally stored models appear in fit results without requiring an active runtime. • TUI now marks list rows matched through a GGUF source, making it visually clear which results come from GGUF-backed providers. • TUI Fit box now spells out active advanced range filters (e.g. `Too Tight ≤2B`, `mem≥50%`) in warning color instead of showing cryptic `R`/`M` markers, and the empty-results hint names the active filter explicitly.