{"data":{"slug":"alexsjones-llmfit","name":"llmfit","tagline":"Hundreds of models & providers. One command to find what runs on your hardware.","github_url":"https://github.com/AlexsJones/llmfit","owner":"AlexsJones","repo":"llmfit","owner_avatar_url":"https://avatars.githubusercontent.com/u/1235925?v=4","primary_language":"Rust","stars":31867,"forks":1978,"topics":["gguf","llm","localai","mlx","skill","unsloth"],"archived":false,"github_pushed_at":"2026-08-14T07:36:41+00:00","maintenance_label":"Very active","stars_delta_30d":2339,"url":"https://www.graphcanon.com/tools/alexsjones-llmfit","markdown_url":"https://www.graphcanon.com/tools/alexsjones-llmfit.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/alexsjones-llmfit","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=alexsjones-llmfit","description":"Hundreds of models & providers. One command to find what runs on your hardware.","homepage_url":null,"license":"MIT","open_issues":69,"watchers":95,"ai_summary":"A tool for discovering and managing machine learning models based on available hardware.","readme_excerpt":"### Docker / Podman\n```sh\ndocker run ghcr.io/alexsjones/llmfit\n```\nThis prints JSON from `llmfit recommend` command. The JSON could be further queried with `jq`.\n```\npodman run ghcr.io/alexsjones/llmfit recommend --use-case coding | jq '.models[].name'\n```\nTo launch the interactive TUI instead, pass the global `--tui` flag:\n```sh\ndocker run --rm -it ghcr.io/alexsjones/llmfit --tui\n```","github_created_at":"2026-02-15T16:11:31+00:00","created_at":"2026-07-07T17:32:12.912015+00:00","updated_at":"2026-08-16T18:01:31.656444+00:00","categories":[{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"gguf","name":"gguf"},{"slug":"llm","name":"llm"},{"slug":"localai","name":"localai"},{"slug":"mlx","name":"mlx"},{"slug":"skill","name":"skill"},{"slug":"unsloth","name":"unsloth"}],"trust":{"provenance":{"is_fork":false,"github_id":1158588224,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-16T18:01:30.837Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":25,"days_since_push":2,"last_release_at":"2026-08-09T17:07:55Z","stars_delta_30d":2339,"open_issues_delta_30d":19},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T10:58:30.173Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-16T18:01:31.328Z"},"deploy":{"source":"dockerfile:Dockerfile","self_host":true,"observed_at":"2026-08-16T18:01:31.328Z","managed_saas":false},"languages":{"value":["rust"],"source":"github.language","observed_at":"2026-08-16T18:01:31.328Z"},"has_docker":{"value":true,"source":"dockerfile:Dockerfile","observed_at":"2026-08-16T18:01:31.328Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-08-16T18:01:31.328Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"notes":["Built for Rust environments","No explicit dependency on Docker or other container runtimes"],"min_ram_gb":4,"requires_docker":false},"constraints":{"min_ram_gb":4,"requires_docker":false},"when_to_use":["- When you need to quickly identify compatible machine learning models for your specific hardware configuration without manual research. llmfit automates this process, making it efficient.","- If Rust is your primary language of choice and you prefer tools that are natively built around Rust ecosystems, leveraging its performance benefits."],"when_not_to_use":["- When the focus is on model development rather than discovery or management; llmfit centers on finding models based on hardware but does not provide deep integration into the training process itself.","- If real-time adaptability and dynamic hardware compatibility changes are needed, as llmfit operates with a more static approach tied to one command per execution."],"source":"enrich:decision_facts","observed_at":"2026-07-11T13:08:17.217Z"},"constraint_facets":{"min_ram_gb":4,"requires_docker":false},"decision_summary":[{"label":"Requirements","value":"Min 4 GB RAM; Built for Rust environments; No explicit dependency on Docker or other container runtimes"},{"label":"Adopt for","value":"llmfit is a Rust-based tool that aims to streamline the process of discovering and managing machine learning models based solely on the hardware capabilities available."},{"label":"License detail","value":"MIT License. This means it's open-source, permitting use in multiple contexts like commercial projects without charge."}]}}