llmfit

{
  "aliases": [],
  "alternatives": [
    "ollama",
    "HuggingFace-hub",
    "localai"
  ],
  "build_dependencies": [
    "rust"
  ],
  "categories": [
    "ai",
    "ml",
    "benchmark",
    "sysadmin"
  ],
  "caveats": null,
  "conflicts_with": [],
  "dependencies": [],
  "deprecated": 0,
  "deprecation_reason": null,
  "desc": "Find what models run on your hardware",
  "disable_reason": null,
  "disabled": 0,
  "enrichment_fetched_at": "2026-06-20T23:40:55+00:00",
  "first_seen": "2026-06-20T23:34:18+00:00",
  "full_name": "llmfit",
  "github_default_branch": "main",
  "github_last_commit_at": "2026-06-19T15:14:29Z",
  "github_readme_excerpt": "# llmfit\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"assets/icon.svg\" alt=\"llmfit icon\" width=\"128\" height=\"128\"\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n  \u003cb\u003eEnglish\u003c/b\u003e \u00b7\n  \u003ca href=\"README.zh.md\"\u003e\u4e2d\u6587\u003c/a\u003e \u00b7\n  \u003ca href=\"README.ja.md\"\u003e\u65e5\u672c\u8a9e\u003c/a\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://github.com/AlexsJones/llmfit/actions/workflows/ci.yml\"\u003e\u003cimg src=\"https://github.com/AlexsJones/llmfit/actions/workflows/ci.yml/badge.svg\" alt=\"CI\"\u003e\u003c/a\u003e\n  \u003ca href=\"https://crates.io/crates/llmfit\"\u003e\u003cimg src=\"https://img.shields.io/crates/v/llmfit.svg\" alt=\"Crates.io\"\u003e\u003c/a\u003e\n  \u003ca href=\"LICENSE\"\u003e\u003cimg src=\"https://img.shields.io/badge/license-MIT-blue.svg\" alt=\"License\"\u003e\u003c/a\u003e\n  \u003ca href=\"https://about.signpath.io\"\u003e\u003cimg src=\"https://img.shields.io/badge/SignPath-signed-brightgreen?logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgaGVpZ2h0PSIxNiIgZmlsbD0id2hpdGUiIHZpZXdCb3g9IjAgMCAxNiAxNiI+PHBhdGggZD0iTTEwLjA2NyA0LjU2N2wtNC43MzQgNC43MzMtMS40LTEuNGExIDEgMCAwIDAtMS40MTQgMS40MTRsMi4xIDIuMWExIDEgMCAwIDAgMS40MTQgMGw1LjQ0LTUuNDRhMSAxIDAgMCAwLTEuNDE0LTEuNDE0eiIvPjwvc3ZnPg==\" alt=\"Signed with SignPath\"\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n\u003e **New: [Community Leaderboard](#community-leaderboard-b)** \u2014 Browse real-world performance data from actual users. Press `b` to see measured tok/s, TTFT, and VRAM for any GPU \u2014 not just yours. Pick from 27+ hardware presets (RTX 5090 to Apple M1) with `H` to compare real numbers before you buy or build.\n\n**Hundreds of models \u0026 providers. One command to find what runs on your hardware.**\n\nA terminal tool that right-sizes LLM models to your system\u0027s 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.\n\nShips 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).\n\n**New: [C",
  "github_repo": "AlexsJones/llmfit",
  "github_stars": 28385,
  "github_topics": [
    "gguf",
    "llm",
    "localai",
    "mlx",
    "skill",
    "unsloth"
  ],
  "homepage": "https://github.com/AlexsJones/llmfit",
  "homepage_og_description": null,
  "homepage_og_image": null,
  "homepage_title": null,
  "installs_30d": 6305,
  "installs_365d": 44255,
  "installs_90d": 31940,
  "keg_only": 0,
  "keg_only_reason": null,
  "last_seen": "2026-06-20T23:34:18+00:00",
  "license": "MIT",
  "llm_generated_at": "2026-06-20T23:45:16+00:00",
  "llm_model": "claude-haiku-4-5",
  "name": "llmfit",
  "oldnames": [],
  "one_liner": "CLI tool that identifies which large language models can run on your hardware, with real-world performance benchmarks from the community.",
  "optional_dependencies": [],
  "rank_30d": 502,
  "rank_365d": 735,
  "rank_90d": 379,
  "raw_hash": "1b50be40429407ad",
  "recommended_dependencies": [],
  "revision": 0,
  "ruby_source_path": "Formula/l/llmfit.rb",
  "tap": "homebrew/core",
  "test_dependencies": [],
  "uses_from_macos": [],
  "version_head": "HEAD",
  "version_stable": "0.9.31",
  "versioned_formulae": [],
  "why_use_this": "llmfit helps you discover compatible LLM models before spending time downloading and configuring them. It supports 27+ hardware presets with actual measured performance data (tokens/sec, time-to-first-token, VRAM) from community runs, letting you make informed decisions about model selection and hardware investments. Useful for developers setting up local LLM inference pipelines with frameworks like LocalAI or MLX."
}