# llmfit ## Docs - [llmfit download](https://mintlify.wiki/AlexsJones/llmfit/api/commands/download.md): Download GGUF models from HuggingFace for use with llama.cpp - [fit](https://mintlify.wiki/AlexsJones/llmfit/api/commands/fit.md): Find models that fit your system - [llmfit hf-search](https://mintlify.wiki/AlexsJones/llmfit/api/commands/hf-search.md): Search HuggingFace for GGUF models compatible with llama.cpp - [info](https://mintlify.wiki/AlexsJones/llmfit/api/commands/info.md): Show detailed information about a specific model - [list](https://mintlify.wiki/AlexsJones/llmfit/api/commands/list.md): List all available LLM models - [llmfit](https://mintlify.wiki/AlexsJones/llmfit/api/commands/llmfit.md): Default TUI mode and global flags - [plan](https://mintlify.wiki/AlexsJones/llmfit/api/commands/plan.md): Plan hardware requirements for a specific model - [recommend](https://mintlify.wiki/AlexsJones/llmfit/api/commands/recommend.md): Get top model recommendations for your hardware - [llmfit run](https://mintlify.wiki/AlexsJones/llmfit/api/commands/run.md): Run a downloaded GGUF model with llama-cli or llama-server - [search](https://mintlify.wiki/AlexsJones/llmfit/api/commands/search.md): Search for specific models - [serve](https://mintlify.wiki/AlexsJones/llmfit/api/commands/serve.md): Start llmfit REST API server - [system](https://mintlify.wiki/AlexsJones/llmfit/api/commands/system.md): Show system hardware specifications - [Fit Analysis](https://mintlify.wiki/AlexsJones/llmfit/api/library/fit.md): Model fit scoring and analysis API - [Hardware](https://mintlify.wiki/AlexsJones/llmfit/api/library/hardware.md): System hardware detection API - [Models](https://mintlify.wiki/AlexsJones/llmfit/api/library/models.md): Model database and metadata API - [Overview](https://mintlify.wiki/AlexsJones/llmfit/api/library/overview.md): Introduction to llmfit-core - the Rust library powering llmfit - [Providers](https://mintlify.wiki/AlexsJones/llmfit/api/library/providers.md): Runtime model provider integration API - [API Endpoints](https://mintlify.wiki/AlexsJones/llmfit/api/rest/endpoints.md): Complete endpoint reference for llmfit serve mode - [REST API Overview](https://mintlify.wiki/AlexsJones/llmfit/api/rest/overview.md): Node-level fit API for cluster scheduling and integration - [Query Parameters](https://mintlify.wiki/AlexsJones/llmfit/api/rest/query-parameters.md): Filtering, sorting, and pagination parameters for model endpoints - [Response Schemas](https://mintlify.wiki/AlexsJones/llmfit/api/rest/response-schemas.md): Complete field definitions for API responses - [Fit Analysis](https://mintlify.wiki/AlexsJones/llmfit/concepts/fit-analysis.md): Memory fit levels, dynamic quantization, and run mode determination - [How It Works](https://mintlify.wiki/AlexsJones/llmfit/concepts/how-it-works.md): Understanding llmfit's architecture and core workflows - [Model Database](https://mintlify.wiki/AlexsJones/llmfit/concepts/model-database.md): Structure, sources, and update process for the embedded model database - [Scoring System](https://mintlify.wiki/AlexsJones/llmfit/concepts/scoring-system.md): Multi-dimensional scoring with use-case-specific weights - [Advanced Usage](https://mintlify.wiki/AlexsJones/llmfit/guides/advanced-usage.md): GPU memory override, context caps, remote Ollama, serve mode, and environment variables - [CLI Mode](https://mintlify.wiki/AlexsJones/llmfit/guides/cli-mode.md): Classic command-line interface with table output and JSON support - [Provider Integration](https://mintlify.wiki/AlexsJones/llmfit/guides/provider-integration.md): Ollama, llama.cpp, and MLX integration for model detection and downloads - [REST API](https://mintlify.wiki/AlexsJones/llmfit/guides/rest-api.md): HTTP API for cluster scheduling and remote model fit queries - [TUI Mode](https://mintlify.wiki/AlexsJones/llmfit/guides/tui-mode.md): Interactive terminal interface for browsing and managing LLM models - [Installation](https://mintlify.wiki/AlexsJones/llmfit/installation.md): Install llmfit on macOS, Linux, or Windows - [Introduction](https://mintlify.wiki/AlexsJones/llmfit/introduction.md): A terminal tool that right-sizes LLM models to your system hardware - [Linux Platform Support](https://mintlify.wiki/AlexsJones/llmfit/platforms/linux.md): GPU detection, installation methods, and troubleshooting for Linux - [macOS Platform Support](https://mintlify.wiki/AlexsJones/llmfit/platforms/macos.md): Apple Silicon unified memory, Metal backend, and installation for macOS - [Platform Support](https://mintlify.wiki/AlexsJones/llmfit/platforms/overview.md): Supported platforms, GPU vendors, and backend detection methods - [Windows Platform Support](https://mintlify.wiki/AlexsJones/llmfit/platforms/windows.md): NVIDIA GPU detection, Scoop installation, and WSL considerations for Windows - [Quickstart](https://mintlify.wiki/AlexsJones/llmfit/quickstart.md): Get from installation to first successful run in under a minute