1079 lines
54 KiB
HTML
1079 lines
54 KiB
HTML
<!DOCTYPE html>
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<title>Quickstart – Axolotl</title>
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<style>
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<span class="menu-text">Installation</span></a>
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<h2 id="toc-title">On this page</h2>
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<ul>
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<li><a href="#sec-quick-example" id="toc-sec-quick-example" class="nav-link active" data-scroll-target="#sec-quick-example"><span class="header-section-number">1</span> Quick Example</a></li>
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<li><a href="#sec-understanding" id="toc-sec-understanding" class="nav-link" data-scroll-target="#sec-understanding"><span class="header-section-number">2</span> Understanding the Process</a>
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<ul class="collapse">
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<li><a href="#sec-config" id="toc-sec-config" class="nav-link" data-scroll-target="#sec-config"><span class="header-section-number">2.1</span> The Configuration File</a></li>
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<li><a href="#sec-training" id="toc-sec-training" class="nav-link" data-scroll-target="#sec-training"><span class="header-section-number">2.2</span> Training</a></li>
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</ul></li>
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<li><a href="#sec-custom" id="toc-sec-custom" class="nav-link" data-scroll-target="#sec-custom"><span class="header-section-number">3</span> Your First Custom Training</a></li>
|
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<li><a href="#sec-common-tasks" id="toc-sec-common-tasks" class="nav-link" data-scroll-target="#sec-common-tasks"><span class="header-section-number">4</span> Common Tasks</a>
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<ul class="collapse">
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<li><a href="#sec-testing" id="toc-sec-testing" class="nav-link" data-scroll-target="#sec-testing"><span class="header-section-number">4.1</span> Testing Your Model</a></li>
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<li><a href="#sec-ui" id="toc-sec-ui" class="nav-link" data-scroll-target="#sec-ui"><span class="header-section-number">4.2</span> Using a UI</a></li>
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<li><a href="#sec-preprocessing" id="toc-sec-preprocessing" class="nav-link" data-scroll-target="#sec-preprocessing"><span class="header-section-number">4.3</span> Preprocessing Data</a></li>
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<li><a href="#sec-merging-lora" id="toc-sec-merging-lora" class="nav-link" data-scroll-target="#sec-merging-lora"><span class="header-section-number">4.4</span> Merging LoRA weights</a></li>
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</ul></li>
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<li><a href="#sec-next-steps" id="toc-sec-next-steps" class="nav-link" data-scroll-target="#sec-next-steps"><span class="header-section-number">5</span> Next Steps</a></li>
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<h1 class="title">Quickstart</h1>
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</header>
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<p>This guide will walk you through your first model fine-tuning project with Axolotl.</p>
|
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<section id="sec-quick-example" class="level2" data-number="1">
|
||
<h2 data-number="1" class="anchored" data-anchor-id="sec-quick-example"><span class="header-section-number">1</span> Quick Example</h2>
|
||
<p>Let’s start by fine-tuning a small language model using LoRA. This example uses a 1B parameter model to ensure it runs on most GPUs.
|
||
Assuming <code>axolotl</code> is installed (if not, see our <a href="../docs/installation.html">Installation Guide</a>)</p>
|
||
<ol type="1">
|
||
<li>Download example configs:</li>
|
||
</ol>
|
||
<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">axolotl</span> fetch examples</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
|
||
<ol start="2" type="1">
|
||
<li>Run the training:</li>
|
||
</ol>
|
||
<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">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! Let’s understand what just happened.</p>
|
||
</section>
|
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<section id="sec-understanding" class="level2" data-number="2">
|
||
<h2 data-number="2" class="anchored" data-anchor-id="sec-understanding"><span class="header-section-number">2</span> Understanding the Process</h2>
|
||
<section id="sec-config" class="level3" data-number="2.1">
|
||
<h3 data-number="2.1" class="anchored" data-anchor-id="sec-config"><span class="header-section-number">2.1</span> The Configuration File</h3>
|
||
<p>The YAML configuration file controls everything about your training. Here’s what (part of) our example config looks like:</p>
|
||
<div class="sourceCode" id="cb3"><pre class="sourceCode yaml code-with-copy"><code class="sourceCode yaml"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="fu">base_model</span><span class="kw">:</span><span class="at"> NousResearch/Llama-3.2-1B</span></span>
|
||
<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a></span>
|
||
<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a><span class="fu">load_in_8bit</span><span class="kw">:</span><span class="at"> </span><span class="ch">true</span></span>
|
||
<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a><span class="fu">adapter</span><span class="kw">:</span><span class="at"> lora</span></span>
|
||
<span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a></span>
|
||
<span id="cb3-6"><a href="#cb3-6" aria-hidden="true" tabindex="-1"></a><span class="fu">datasets</span><span class="kw">:</span></span>
|
||
<span id="cb3-7"><a href="#cb3-7" aria-hidden="true" tabindex="-1"></a><span class="at"> </span><span class="kw">-</span><span class="at"> </span><span class="fu">path</span><span class="kw">:</span><span class="at"> teknium/GPT4-LLM-Cleaned</span></span>
|
||
<span id="cb3-8"><a href="#cb3-8" aria-hidden="true" tabindex="-1"></a><span class="at"> </span><span class="fu">type</span><span class="kw">:</span><span class="at"> alpaca</span></span>
|
||
<span id="cb3-9"><a href="#cb3-9" aria-hidden="true" tabindex="-1"></a><span class="fu">dataset_prepared_path</span><span class="kw">:</span><span class="at"> last_run_prepared</span></span>
|
||
<span id="cb3-10"><a href="#cb3-10" aria-hidden="true" tabindex="-1"></a><span class="fu">val_set_size</span><span class="kw">:</span><span class="at"> </span><span class="fl">0.1</span></span>
|
||
<span id="cb3-11"><a href="#cb3-11" aria-hidden="true" tabindex="-1"></a><span class="fu">output_dir</span><span class="kw">:</span><span class="at"> ./outputs/lora-out</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
|
||
<div class="callout callout-style-default callout-tip callout-titled">
|
||
<div class="callout-header d-flex align-content-center">
|
||
<div class="callout-icon-container">
|
||
<i class="callout-icon"></i>
|
||
</div>
|
||
<div class="callout-title-container flex-fill">
|
||
Tip
|
||
</div>
|
||
</div>
|
||
<div class="callout-body-container callout-body">
|
||
<p><code>load_in_8bit: true</code> and <code>adapter: lora</code> enables LoRA adapter finetuning.</p>
|
||
<ul>
|
||
<li>To perform Full finetuning, remove these two lines.</li>
|
||
<li>To perform QLoRA finetuning, replace with <code>load_in_4bit: true</code> and <code>adapter: qlora</code>.</li>
|
||
</ul>
|
||
</div>
|
||
</div>
|
||
<p>See our <a href="../docs/config.html">Config options</a> for more details.</p>
|
||
</section>
|
||
<section id="sec-training" class="level3" data-number="2.2">
|
||
<h3 data-number="2.2" class="anchored" data-anchor-id="sec-training"><span class="header-section-number">2.2</span> Training</h3>
|
||
<p>When you run <code>axolotl train</code>, Axolotl:</p>
|
||
<ol type="1">
|
||
<li>Downloads the base model</li>
|
||
<li>(If specified) applies QLoRA/LoRA adapter layers</li>
|
||
<li>Loads and processes the dataset</li>
|
||
<li>Runs the training loop</li>
|
||
<li>Saves the trained model and / or LoRA weights</li>
|
||
</ol>
|
||
</section>
|
||
</section>
|
||
<section id="sec-custom" class="level2" data-number="3">
|
||
<h2 data-number="3" class="anchored" data-anchor-id="sec-custom"><span class="header-section-number">3</span> Your First Custom Training</h2>
|
||
<p>Let’s modify the example for your own data:</p>
|
||
<ol type="1">
|
||
<li>Create a new config file <code>my_training.yml</code>:</li>
|
||
</ol>
|
||
<div class="sourceCode" id="cb4"><pre class="sourceCode yaml code-with-copy"><code class="sourceCode yaml"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a><span class="fu">base_model</span><span class="kw">:</span><span class="at"> NousResearch/Nous-Hermes-llama-1b-v1</span></span>
|
||
<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a></span>
|
||
<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a><span class="fu">load_in_8bit</span><span class="kw">:</span><span class="at"> </span><span class="ch">true</span></span>
|
||
<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a><span class="fu">adapter</span><span class="kw">:</span><span class="at"> lora</span></span>
|
||
<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a></span>
|
||
<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a><span class="co"># Training settings</span></span>
|
||
<span id="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a><span class="fu">micro_batch_size</span><span class="kw">:</span><span class="at"> </span><span class="dv">2</span></span>
|
||
<span id="cb4-8"><a href="#cb4-8" aria-hidden="true" tabindex="-1"></a><span class="fu">num_epochs</span><span class="kw">:</span><span class="at"> </span><span class="dv">3</span></span>
|
||
<span id="cb4-9"><a href="#cb4-9" aria-hidden="true" tabindex="-1"></a><span class="fu">learning_rate</span><span class="kw">:</span><span class="at"> </span><span class="fl">0.0003</span></span>
|
||
<span id="cb4-10"><a href="#cb4-10" aria-hidden="true" tabindex="-1"></a></span>
|
||
<span id="cb4-11"><a href="#cb4-11" aria-hidden="true" tabindex="-1"></a><span class="co"># Your dataset</span></span>
|
||
<span id="cb4-12"><a href="#cb4-12" aria-hidden="true" tabindex="-1"></a><span class="fu">datasets</span><span class="kw">:</span></span>
|
||
<span id="cb4-13"><a href="#cb4-13" aria-hidden="true" tabindex="-1"></a><span class="at"> </span><span class="kw">-</span><span class="at"> </span><span class="fu">path</span><span class="kw">:</span><span class="at"> my_data.jsonl</span><span class="co"> # Your local data file</span></span>
|
||
<span id="cb4-14"><a href="#cb4-14" aria-hidden="true" tabindex="-1"></a><span class="at"> </span><span class="fu">type</span><span class="kw">:</span><span class="at"> alpaca</span><span class="co"> # Or other format</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
|
||
<p>This specific config is for LoRA fine-tuning a model with instruction tuning data using
|
||
the <code>alpaca</code> dataset format, which has the following format:</p>
|
||
<div class="sourceCode" id="cb5"><pre class="sourceCode json code-with-copy"><code class="sourceCode json"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a><span class="fu">{</span></span>
|
||
<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a> <span class="dt">"instruction"</span><span class="fu">:</span> <span class="st">"Write a description of alpacas."</span><span class="fu">,</span></span>
|
||
<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a> <span class="dt">"input"</span><span class="fu">:</span> <span class="st">""</span><span class="fu">,</span></span>
|
||
<span id="cb5-4"><a href="#cb5-4" aria-hidden="true" tabindex="-1"></a> <span class="dt">"output"</span><span class="fu">:</span> <span class="st">"Alpacas are domesticated South American camelids..."</span></span>
|
||
<span id="cb5-5"><a href="#cb5-5" aria-hidden="true" tabindex="-1"></a><span class="fu">}</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
|
||
<p>Please see our <a href="dataset-formats">Dataset Formats</a> for more dataset formats and how to
|
||
format them.</p>
|
||
<ol start="2" type="1">
|
||
<li>Prepare your JSONL data in the specified format (in this case, the expected <code>alpaca</code>
|
||
format):</li>
|
||
</ol>
|
||
<div class="sourceCode" id="cb6"><pre class="sourceCode json code-with-copy"><code class="sourceCode json"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a><span class="fu">{</span><span class="dt">"instruction"</span><span class="fu">:</span> <span class="st">"Classify this text"</span><span class="fu">,</span> <span class="dt">"input"</span><span class="fu">:</span> <span class="st">"I love this!"</span><span class="fu">,</span> <span class="dt">"output"</span><span class="fu">:</span> <span class="st">"positive"</span><span class="fu">}</span></span>
|
||
<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a><span class="fu">{</span><span class="dt">"instruction"</span><span class="fu">:</span> <span class="st">"Classify this text"</span><span class="fu">,</span> <span class="dt">"input"</span><span class="fu">:</span> <span class="st">"Not good at all"</span><span class="fu">,</span> <span class="dt">"output"</span><span class="fu">:</span> <span class="st">"negative"</span><span class="fu">}</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
|
||
<ol start="3" type="1">
|
||
<li>Run the training:</li>
|
||
</ol>
|
||
<div class="sourceCode" id="cb7"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a><span class="ex">axolotl</span> train my_training.yml</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
|
||
</section>
|
||
<section id="sec-common-tasks" class="level2" data-number="4">
|
||
<h2 data-number="4" class="anchored" data-anchor-id="sec-common-tasks"><span class="header-section-number">4</span> Common Tasks</h2>
|
||
<div class="callout callout-style-default callout-tip callout-titled">
|
||
<div class="callout-header d-flex align-content-center">
|
||
<div class="callout-icon-container">
|
||
<i class="callout-icon"></i>
|
||
</div>
|
||
<div class="callout-title-container flex-fill">
|
||
Tip
|
||
</div>
|
||
</div>
|
||
<div class="callout-body-container callout-body">
|
||
<p>The same yaml file is used for training, inference, and merging.</p>
|
||
</div>
|
||
</div>
|
||
<section id="sec-testing" class="level3" data-number="4.1">
|
||
<h3 data-number="4.1" class="anchored" data-anchor-id="sec-testing"><span class="header-section-number">4.1</span> Testing Your Model</h3>
|
||
<p>After training, test your model:</p>
|
||
<div class="sourceCode" id="cb8"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a><span class="ex">axolotl</span> inference my_training.yml <span class="at">--lora-model-dir</span><span class="op">=</span><span class="st">"./outputs/lora-out"</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
|
||
<p>More details can be found in <a href="../docs/inference.html">Inference</a>.</p>
|
||
</section>
|
||
<section id="sec-ui" class="level3" data-number="4.2">
|
||
<h3 data-number="4.2" class="anchored" data-anchor-id="sec-ui"><span class="header-section-number">4.2</span> Using a UI</h3>
|
||
<p>Launch a Gradio interface:</p>
|
||
<div class="sourceCode" id="cb9"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a><span class="ex">axolotl</span> inference my_training.yml <span class="at">--lora-model-dir</span><span class="op">=</span><span class="st">"./outputs/lora-out"</span> <span class="at">--gradio</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
|
||
</section>
|
||
<section id="sec-preprocessing" class="level3" data-number="4.3">
|
||
<h3 data-number="4.3" class="anchored" data-anchor-id="sec-preprocessing"><span class="header-section-number">4.3</span> Preprocessing Data</h3>
|
||
<p>For large datasets, preprocess first:</p>
|
||
<div class="sourceCode" id="cb10"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb10-1"><a href="#cb10-1" aria-hidden="true" tabindex="-1"></a><span class="ex">axolotl</span> preprocess my_training.yml</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
|
||
<p>Please make sure to set <code>dataset_prepared_path:</code> in your config to set the path to save the prepared dataset.</p>
|
||
<p>More details can be found in <a href="../docs/dataset_preprocessing.html">Dataset Preprocessing</a>.</p>
|
||
</section>
|
||
<section id="sec-merging-lora" class="level3" data-number="4.4">
|
||
<h3 data-number="4.4" class="anchored" data-anchor-id="sec-merging-lora"><span class="header-section-number">4.4</span> Merging LoRA weights</h3>
|
||
<p>To merge the LoRA weights back into the base model, run:</p>
|
||
<div class="sourceCode" id="cb11"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb11-1"><a href="#cb11-1" aria-hidden="true" tabindex="-1"></a><span class="ex">axolotl</span> merge-lora my_training.yml <span class="at">--lora-model-dir</span><span class="op">=</span><span class="st">"./outputs/lora-out"</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
|
||
<p>The merged model will be saved in the <code>{output_dir}/merged</code> directory.</p>
|
||
<p>More details can be found in <a href="../docs/inference.html#sec-merging">Merging LoRA weights</a>.</p>
|
||
</section>
|
||
</section>
|
||
<section id="sec-next-steps" class="level2" data-number="5">
|
||
<h2 data-number="5" class="anchored" data-anchor-id="sec-next-steps"><span class="header-section-number">5</span> Next Steps</h2>
|
||
<p>Now that you have the basics, you might want to:</p>
|
||
<ul>
|
||
<li>Try different model architectures</li>
|
||
<li>Experiment with hyperparameters</li>
|
||
<li>Use more advanced training methods</li>
|
||
<li>Scale up to larger models</li>
|
||
</ul>
|
||
<p>Check our other guides for details on these topics:</p>
|
||
<ul>
|
||
<li><a href="../docs/config.html">Configuration Guide</a> - Full configuration options</li>
|
||
<li><a href="../docs/dataset_loading.html">Dataset Loading</a> - Loading datasets from various sources</li>
|
||
<li><a href="dataset-formats">Dataset Formats</a> - Working with different data formats</li>
|
||
<li><a href="../docs/multi-gpu.html">Multi-GPU Training</a></li>
|
||
<li><a href="../docs/multi-node.html">Multi-Node Training</a></li>
|
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