GStars
    AlexsJones

    AlexsJones/llmfit

    #108 this week

    Hundreds of models & providers. One command to find what runs on your hardware.

    llm
    gguf
    localai
    mlx
    skill
    unsloth
    Rust
    MIT
    38.9K stars
    2.5K forks
    113 GitHub watchers
    Updated Nov 11, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    Ranks #6 among LLM repositories ranked this week; #108 of 163 repositories with measured growth this week (top 66%).

    5 releases in the last 90 days, the latest 7 days ago, with 173 contributors on GitHub.

    The biggest single-day gain in the last year, +518 stars on Aug 18, coincided with release v1.1.10.

    Use Cases & Benefits

    • Provides a terminal tool that detects your hardware and recommends which large language models (LLMs) will run efficiently on it.
    • Enables precise model fit scoring across quality, speed, memory, and context dimensions to find the best LLMs for your specific system configuration.
    • Use for selecting optimal LLMs to run locally on diverse hardware setups including multi-GPU and CPU-only systems.
    • Use for planning hardware upgrades by simulating model requirements and estimating needed RAM, VRAM, and CPU cores.
    • Use for integrating LLM selection into automated workflows via its REST API and JSON CLI outputs for scripting and cluster scheduling.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Windows binaries are now code-signed! All Windows releases are signed via SignPath Foundation, providing Authenticode signatures so you can trust that downloads haven't been tampered with.

    Hundreds of models & providers. One command to find what runs on your hardware.

    A terminal tool that right-sizes LLM models to your system's RAM, CPU, and GPU. Detects your hardware, scores each model across quality, speed, fit, and context dimensions, and tells you which ones will actually run well on your machine.

    Ships with an interactive TUI (default) and a classic CLI mode. Supports multi-GPU setups, MoE architectures, dynamic quantization selection, speed estimation, and local runtime providers (Ollama, llama.cpp, MLX, Docker Model Runner, LM Studio).

    New: Download Manager (D), Advanced Configuration (A), and Hardware Simulation — Press D to manage downloads, view history, delete models, and configure the download directory. Press A to tune TPS efficiency, run mode factors, and scoring weights. Press S to simulate different hardware.

    Sister projects:

    • sympozium — managing agents in Kubernetes.
    • llmserve — a simple TUI for serving local LLM models. Pick a model, pick a backend, serve it.
    • llama-panel — a native macOS app for managing local llama-server instances.
    Excerpt from the AlexsJones/llmfit README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Aug 17: +277Aug 18: +518Aug 19: +286Aug 20: +281Aug 27: +170Aug 28: +89Aug 29: +38Aug 30: +49Aug 31: +67Sep 1: +81Sep 2: +58Sep 3: +76Sep 4: +55Sep 5: +47Sep 6: +42Sep 7: +53Sep 8: +62Sep 9: +260Sep 10: +294Sep 11: +410Sep 12: +170Sep 13: +197Sep 14: +127Sep 15: +91Sep 16: +41Sep 17: +55Sep 18: +58Sep 19: +51Sep 20: +46Sep 21: +62Sep 22: +69Sep 23: +66Sep 24: +39Sep 25: +44Sep 26: +31Sep 27: +20Sep 28: +36Oct 5: +20

    +7,027 stars over 87 days across 45 snapshot days; best day +518 on Aug 18.

    Forks

    2.5K+537

    Open issues

    63-6

    Compared with peers in LLM

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

    View category →
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