{"data":{"slug":"alexsjones-llmfit","name":"llmfit","tagline":"Hardware-aware model recommendation tool","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":36747,"forks":2329,"topics":["gguf","llm","localai","mlx","skill","unsloth"],"archived":false,"github_pushed_at":"2026-09-17T21:12:11+00:00","maintenance_label":"Very active","stars_delta_30d":4880,"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":115,"ai_summary":"Provides hardware telemetry and recommends models based on local hardware capabilities.","readme_excerpt":"## Container Deployment\n\n`llmfit` provides a multi-architecture Docker image (`ghcr.io/alexsjones/llmfit`) supporting both interactive CLI/TUI and headless Web UI / API server modes.\n\n---\n\n# Print hardware telemetry and recommended models to standard output\nllmfit recommend","github_created_at":"2026-02-15T16:11:31+00:00","created_at":"2026-07-07T17:32:12.912015+00:00","updated_at":"2026-09-20T04:32:37.717299+00:00","categories":[{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"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"}],"tags":[{"slug":"docker","name":"docker"},{"slug":"gguf","name":"gguf"},{"slug":"llm","name":"llm"},{"slug":"localai","name":"localai"},{"slug":"mlx","name":"mlx"},{"slug":"rust","name":"rust"},{"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":"2026-09-18T08:41:06.732Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":25,"days_since_push":0,"last_release_at":"2026-09-10T06:05:27Z","stars_delta_30d":4880,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-09-18T08:41:08.455Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-18T08:41:05.313Z"},"deploy":{"source":"dockerfile:Dockerfile","self_host":true,"observed_at":"2026-09-18T08:41:05.313Z","managed_saas":false},"languages":{"value":["rust"],"source":"github.language","observed_at":"2026-09-18T08:41:05.313Z"},"has_docker":{"value":true,"source":"dockerfile:Dockerfile","observed_at":"2026-09-18T08:41:05.313Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-09-18T08:41:05.313Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["Use llmfit when you need a tool that can provide hardware telemetry and model recommendations based on your local hardware capabilities,","Consider llmfit if you are working with a variety of hardware setups and need a tool that can adapt model recommendations to the specific hardware available,","llmfit is suitable for users who prefer a Rust-based solution for model recommendation and hardware analysis,","If you require a tool that supports both interactive CLI/TUI and headless Web UI/API server modes through a multi-architecture Docker image, llmfit is a good choice"],"when_not_to_use":["Avoid llmfit if you are looking for a tool that does not provide hardware telemetry or model recommendations based on local hardware capabilities,","Do not use llmfit if you are working in an environment where Rust is not a preferred language for development,","If you need a tool that does not support deployment through a multi-architecture Docker image, llmfit may not be the best option,","llmfit is not recommended if you require a tool that does not offer both interactive CLI/TUI and headless Web UI/API server modes"],"source":"enrich:decision_facts","observed_at":"2026-09-18T11:52:58.458Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"llmfit is a hardware-aware model recommendation tool written in Rust, licensed under MIT, and categorized under LLM Frameworks and Inference & Serving. It provides hardware telemetry and recommends models based on local,"}]}}