1042 lines
50 KiB
HTML
1042 lines
50 KiB
HTML
<!DOCTYPE html>
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<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head>
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<meta charset="utf-8">
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<meta name="generator" content="quarto-1.7.32">
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<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
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<title>Axolotl</title>
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<link rel="stylesheet" href="styles.css">
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</head>
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<body class="nav-sidebar docked nav-fixed quarto-light">
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<div id="quarto-search-results"></div>
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<nav class="navbar navbar-expand " data-bs-theme="dark">
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<div class="navbar-container container-fluid">
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<div class="navbar-brand-container mx-auto">
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<a href="./index.html" class="navbar-brand navbar-brand-logo">
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<img src="./image/axolotl_logo_digital_white.svg" alt="" class="navbar-logo">
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</a>
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<div class="quarto-navbar-tools tools-wide tools-end">
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</div>
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<div id="quarto-search" class="" title="Search"></div>
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</div> <!-- /container-fluid -->
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</nav>
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<nav class="quarto-secondary-nav">
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<div class="container-fluid d-flex">
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<button type="button" class="quarto-btn-toggle btn" data-bs-toggle="collapse" role="button" data-bs-target=".quarto-sidebar-collapse-item" aria-controls="quarto-sidebar" aria-expanded="false" aria-label="Toggle sidebar navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
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</button>
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<nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="./index.html">Home</a></li></ol></nav>
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</nav>
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</header>
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<!-- content -->
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<div id="quarto-content" class="quarto-container page-columns page-rows-contents page-layout-article page-navbar">
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<!-- sidebar -->
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<nav id="quarto-sidebar" class="sidebar collapse collapse-horizontal quarto-sidebar-collapse-item sidebar-navigation docked overflow-auto">
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<ul class="list-unstyled mt-1">
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<li class="sidebar-item">
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<div class="sidebar-item-container">
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<a href="./index.html" class="sidebar-item-text sidebar-link active">
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<span class="menu-text">Home</span></a>
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<a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-1" role="navigation" aria-expanded="true">
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<span class="menu-text">Getting Started</span></a>
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<span class="menu-text">Quickstart</span></a>
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<a href="./docs/installation.html" class="sidebar-item-text sidebar-link">
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<span class="menu-text">Installation</span></a>
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<span class="menu-text">Inference and Merging</span></a>
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<a href="./docs/cli.html" class="sidebar-item-text sidebar-link">
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<span class="menu-text">Command Line Interface (CLI)</span></a>
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<a href="./docs/config-reference.html" class="sidebar-item-text sidebar-link">
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<span class="menu-text">Config Reference</span></a>
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<span class="menu-text">API Reference</span></a>
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<a href="./docs/dataset-formats/index.html" class="sidebar-item-text sidebar-link">
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<span class="menu-text">Dataset Formats</span></a>
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<span class="menu-text">Pre-training</span></a>
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<a href="./docs/dataset-formats/inst_tune.html" class="sidebar-item-text sidebar-link">
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<span class="menu-text">Instruction Tuning</span></a>
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<span class="menu-text">Conversation</span></a>
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<a href="./docs/dataset-formats/stepwise_supervised.html" class="sidebar-item-text sidebar-link">
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<span class="menu-text">Stepwise Supervised Format</span></a>
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<span class="menu-text">Custom Pre-Tokenized Dataset</span></a>
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<span class="menu-text">Deployments</span></a>
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<span class="menu-text">Multi-GPU</span></a>
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<span class="menu-text">Multi Node</span></a>
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<span class="menu-text">MultiModal / Vision Language Models (BETA)</span></a>
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<span class="menu-text">RLHF (Beta)</span></a>
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<span class="menu-text">Reward Modelling</span></a>
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<span class="menu-text">Batch size vs Gradient accumulation</span></a>
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<li><a href="#latest-updates" id="toc-latest-updates" class="nav-link active" data-scroll-target="#latest-updates">🎉 Latest Updates</a></li>
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<section id="latest-updates" class="level2">
|
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<h2 class="anchored" data-anchor-id="latest-updates">🎉 Latest Updates</h2>
|
||
<ul>
|
||
<li>2025/06: Magistral with mistral-common tokenizer support has been added to Axolotl. See <a href="https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/magistral">examples</a> to start training your own Magistral models with Axolotl!</li>
|
||
<li>2025/05: Quantization Aware Training (QAT) support has been added to Axolotl. Explore the <a href="https://docs.axolotl.ai/docs/qat.html">docs</a> to learn more!</li>
|
||
<li>2025/04: Llama 4 support has been added in Axolotl. See <a href="https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/llama-4">examples</a> to start training your own Llama 4 models with Axolotl’s linearized version!</li>
|
||
<li>2025/03: Axolotl has implemented Sequence Parallelism (SP) support. Read the <a href="https://huggingface.co/blog/axolotl-ai-co/long-context-with-sequence-parallelism-in-axolotl">blog</a> and <a href="https://docs.axolotl.ai/docs/sequence_parallelism.html">docs</a> to learn how to scale your context length when fine-tuning.</li>
|
||
<li>2025/03: (Beta) Fine-tuning Multimodal models is now supported in Axolotl. Check out the <a href="https://docs.axolotl.ai/docs/multimodal.html">docs</a> to fine-tune your own!</li>
|
||
<li>2025/02: Axolotl has added LoRA optimizations to reduce memory usage and improve training speed for LoRA and QLoRA in single GPU and multi-GPU training (DDP and DeepSpeed). Jump into the <a href="https://docs.axolotl.ai/docs/lora_optims.html">docs</a> to give it a try.</li>
|
||
<li>2025/02: Axolotl has added GRPO support. Dive into our <a href="https://huggingface.co/blog/axolotl-ai-co/training-llms-w-interpreter-feedback-wasm">blog</a> and <a href="https://github.com/axolotl-ai-cloud/grpo_code">GRPO example</a> and have some fun!</li>
|
||
<li>2025/01: Axolotl has added Reward Modelling / Process Reward Modelling fine-tuning support. See <a href="https://docs.axolotl.ai/docs/reward_modelling.html">docs</a>.</li>
|
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</ul>
|
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</section>
|
||
<section id="overview" class="level2">
|
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<h2 class="anchored" data-anchor-id="overview">✨ Overview</h2>
|
||
<p>Axolotl is a tool designed to streamline post-training for various AI models.</p>
|
||
<p>Features:</p>
|
||
<ul>
|
||
<li><strong>Multiple Model Support</strong>: Train various models like LLaMA, Mistral, Mixtral, Pythia, and more. We are compatible with HuggingFace transformers causal language models.</li>
|
||
<li><strong>Training Methods</strong>: Full fine-tuning, LoRA, QLoRA, GPTQ, QAT, Preference Tuning (DPO, IPO, KTO, ORPO), RL (GRPO), Multimodal, and Reward Modelling (RM) / Process Reward Modelling (PRM).</li>
|
||
<li><strong>Easy Configuration</strong>: Re-use a single YAML file between dataset preprocess, training, evaluation, quantization, and inference.</li>
|
||
<li><strong>Performance Optimizations</strong>: <a href="https://docs.axolotl.ai/docs/multipack.html">Multipacking</a>, <a href="https://github.com/Dao-AILab/flash-attention">Flash Attention</a>, <a href="https://github.com/facebookresearch/xformers">Xformers</a>, <a href="https://pytorch.org/blog/flexattention/">Flex Attention</a>, <a href="https://github.com/linkedin/Liger-Kernel">Liger Kernel</a>, <a href="https://github.com/apple/ml-cross-entropy/tree/main">Cut Cross Entropy</a>, <a href="https://docs.axolotl.ai/docs/sequence_parallelism.html">Sequence Parallelism (SP)</a>, <a href="https://docs.axolotl.ai/docs/lora_optims.html">LoRA optimizations</a>, <a href="https://docs.axolotl.ai/docs/multi-gpu.html">Multi-GPU training (FSDP1, FSDP2, DeepSpeed)</a>, <a href="https://docs.axolotl.ai/docs/multi-node.html">Multi-node training (Torchrun, Ray)</a>, and many more!</li>
|
||
<li><strong>Flexible Dataset Handling</strong>: Load from local, HuggingFace, and cloud (S3, Azure, GCP, OCI) datasets.</li>
|
||
<li><strong>Cloud Ready</strong>: We ship <a href="https://hub.docker.com/u/axolotlai">Docker images</a> and also <a href="https://pypi.org/project/axolotl/">PyPI packages</a> for use on cloud platforms and local hardware.</li>
|
||
</ul>
|
||
</section>
|
||
<section id="quick-start" class="level2">
|
||
<h2 class="anchored" data-anchor-id="quick-start">🚀 Quick Start</h2>
|
||
<p><strong>Requirements</strong>:</p>
|
||
<ul>
|
||
<li>NVIDIA GPU (Ampere or newer for <code>bf16</code> and Flash Attention) or AMD GPU</li>
|
||
<li>Python 3.11</li>
|
||
<li>PyTorch ≥2.6.0</li>
|
||
</ul>
|
||
<section id="installation" class="level3">
|
||
<h3 class="anchored" data-anchor-id="installation">Installation</h3>
|
||
<section id="using-pip" class="level4">
|
||
<h4 class="anchored" data-anchor-id="using-pip">Using pip</h4>
|
||
<div class="sourceCode" id="cb1"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="ex">pip3</span> install <span class="at">-U</span> packaging==23.2 setuptools==75.8.0 wheel ninja</span>
|
||
<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="ex">pip3</span> install <span class="at">--no-build-isolation</span> axolotl<span class="pp">[</span><span class="ss">flash</span><span class="pp">-</span><span class="ss">attn,deepspeed</span><span class="pp">]</span></span>
|
||
<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a></span>
|
||
<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="co"># Download example axolotl configs, deepspeed configs</span></span>
|
||
<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a><span class="ex">axolotl</span> fetch examples</span>
|
||
<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="ex">axolotl</span> fetch deepspeed_configs <span class="co"># OPTIONAL</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
|
||
</section>
|
||
<section id="using-docker" class="level4">
|
||
<h4 class="anchored" data-anchor-id="using-docker">Using Docker</h4>
|
||
<p>Installing with Docker can be less error prone than installing in your own environment.</p>
|
||
<div class="sourceCode" id="cb2"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="ex">docker</span> run <span class="at">--gpus</span> <span class="st">'"all"'</span> <span class="at">--rm</span> <span class="at">-it</span> axolotlai/axolotl:main-latest</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
|
||
<p>Other installation approaches are described <a href="https://docs.axolotl.ai/docs/installation.html">here</a>.</p>
|
||
</section>
|
||
</section>
|
||
<section id="your-first-fine-tune" class="level3">
|
||
<h3 class="anchored" data-anchor-id="your-first-fine-tune">Your First Fine-tune</h3>
|
||
<div class="sourceCode" id="cb3"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Fetch axolotl examples</span></span>
|
||
<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a><span class="ex">axolotl</span> fetch examples</span>
|
||
<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a></span>
|
||
<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a><span class="co"># Or, specify a custom path</span></span>
|
||
<span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a><span class="ex">axolotl</span> fetch examples <span class="at">--dest</span> path/to/folder</span>
|
||
<span id="cb3-6"><a href="#cb3-6" aria-hidden="true" tabindex="-1"></a></span>
|
||
<span id="cb3-7"><a href="#cb3-7" aria-hidden="true" tabindex="-1"></a><span class="co"># Train a model using LoRA</span></span>
|
||
<span id="cb3-8"><a href="#cb3-8" aria-hidden="true" tabindex="-1"></a><span class="ex">axolotl</span> train examples/llama-3/lora-1b.yml</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
|
||
<p>That’s it! Check out our <a href="https://docs.axolotl.ai/docs/getting-started.html">Getting Started Guide</a> for a more detailed walkthrough.</p>
|
||
</section>
|
||
</section>
|
||
<section id="documentation" class="level2">
|
||
<h2 class="anchored" data-anchor-id="documentation">📚 Documentation</h2>
|
||
<ul>
|
||
<li><a href="https://docs.axolotl.ai/docs/installation.html">Installation Options</a> - Detailed setup instructions for different environments</li>
|
||
<li><a href="https://docs.axolotl.ai/docs/config-reference.html">Configuration Guide</a> - Full configuration options and examples</li>
|
||
<li><a href="https://docs.axolotl.ai/docs/dataset_loading.html">Dataset Loading</a> - Loading datasets from various sources</li>
|
||
<li><a href="https://docs.axolotl.ai/docs/dataset-formats/">Dataset Guide</a> - Supported formats and how to use them</li>
|
||
<li><a href="https://docs.axolotl.ai/docs/multi-gpu.html">Multi-GPU Training</a></li>
|
||
<li><a href="https://docs.axolotl.ai/docs/multi-node.html">Multi-Node Training</a></li>
|
||
<li><a href="https://docs.axolotl.ai/docs/multipack.html">Multipacking</a></li>
|
||
<li><a href="https://docs.axolotl.ai/docs/api/">API Reference</a> - Auto-generated code documentation</li>
|
||
<li><a href="https://docs.axolotl.ai/docs/faq.html">FAQ</a> - Frequently asked questions</li>
|
||
</ul>
|
||
</section>
|
||
<section id="getting-help" class="level2">
|
||
<h2 class="anchored" data-anchor-id="getting-help">🤝 Getting Help</h2>
|
||
<ul>
|
||
<li>Join our <a href="https://discord.gg/HhrNrHJPRb">Discord community</a> for support</li>
|
||
<li>Check out our <a href="https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/">Examples</a> directory</li>
|
||
<li>Read our <a href="https://docs.axolotl.ai/docs/debugging.html">Debugging Guide</a></li>
|
||
<li>Need dedicated support? Please contact <a href="mailto:wing@axolotl.ai">✉️wing@axolotl.ai</a> for options</li>
|
||
</ul>
|
||
</section>
|
||
<section id="contributing" class="level2">
|
||
<h2 class="anchored" data-anchor-id="contributing">🌟 Contributing</h2>
|
||
<p>Contributions are welcome! Please see our <a href="https://github.com/axolotl-ai-cloud/axolotl/blob/main/.github/CONTRIBUTING.md">Contributing Guide</a> for details.</p>
|
||
</section>
|
||
<section id="sponsors" class="level2">
|
||
<h2 class="anchored" data-anchor-id="sponsors">❤️ Sponsors</h2>
|
||
<p>Thank you to our sponsors who help make Axolotl possible:</p>
|
||
<ul>
|
||
<li><a href="https://www.modal.com?utm_source=github&utm_medium=github&utm_campaign=axolotl">Modal</a> - Modal lets you run
|
||
jobs in the cloud, by just writing a few lines of Python. Customers use Modal to deploy Gen AI models at large scale,
|
||
fine-tune large language models, run protein folding simulations, and much more.</li>
|
||
</ul>
|
||
<p>Interested in sponsoring? Contact us at <a href="mailto:wing@axolotl.ai">wing@axolotl.ai</a></p>
|
||
</section>
|
||
<section id="license" class="level2">
|
||
<h2 class="anchored" data-anchor-id="license">📜 License</h2>
|
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<p>This project is licensed under the Apache 2.0 License - see the <a href="LICENSE">LICENSE</a> file for details.</p>
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