# hiyouga/LlamaFactory

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

75,773 stars · 9,310 forks · Python · Apache-2.0

Topics: agent, ai, deepseek, fine-tuning, gemma, gpt, instruction-tuning, large-language-models

## Use it

### How to install LlamaFactory in Claude Code

1. Clone & open

```bash
git clone https://github.com/hiyouga/LlamaFactory.git
cd LlamaFactory
claude
```

2. Let Claude read it

   Ask “/init” to generate a CLAUDE.md, then have Claude explain, run, or extend the codebase. It reads files on demand.

### How to install LlamaFactory in Claude Desktop

1. Clone the repository

```bash
git clone https://github.com/hiyouga/LlamaFactory.git
```

2. Open in your AI editor

   Open the folder in your assistant and ask it to index the codebase, then reference files in chat.

### How to install LlamaFactory in Cursor

1. Clone & open in Cursor

```bash
git clone https://github.com/hiyouga/LlamaFactory.git
```

2. Index & chat

   Open the folder — Cursor indexes it automatically. Use @Codebase in chat to ask about it or scaffold from it.

### How to install LlamaFactory in Codex CLI

1. Clone

```bash
git clone https://github.com/hiyouga/LlamaFactory.git
```

2. Point Codex at it

   Run codex in the repo root; add setup notes to AGENTS.md so the agent knows how to build & test.

### How to install LlamaFactory in Windsurf

1. Clone & open

```bash
git clone https://github.com/hiyouga/LlamaFactory.git
```

2. Use Cascade

   Windsurf indexes the workspace; ask Cascade to explain or reuse modules from the repo.

### How to install LlamaFactory in Cline

1. Clone the repository

```bash
git clone https://github.com/hiyouga/LlamaFactory.git
```

2. Open in your AI editor

   Open the folder in your assistant and ask it to index the codebase, then reference files in chat.

### How to install LlamaFactory in VS Code

1. Clone the repository

```bash
git clone https://github.com/hiyouga/LlamaFactory.git
```

2. Open in your AI editor

   Open the folder in your assistant and ask it to index the codebase, then reference files in chat.

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Source: https://mcp-skills-hub.vercel.app/repos/hiyouga-llamafactory · MCP Skills Hub · data as of 2026-10-28T12:31:05Z