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<li><a href="#install-axolotl-and-dependencies" id="toc-install-axolotl-and-dependencies" class="nav-link active" data-scroll-target="#install-axolotl-and-dependencies">Install Axolotl and dependencies</a></li>
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<h1 class="title">Example notebook for running Axolotl on google colab</h1>
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<div id="cell-2" class="cell">
<div class="sourceCode cell-code" id="cb1"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> torch</span>
<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="co"># Check so there is a gpu available, a T4(free tier) is enough to run this notebook</span></span>
<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="cf">assert</span> (torch.cuda.is_available()<span class="op">==</span><span class="va">True</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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<section id="install-axolotl-and-dependencies" class="level2">
<h2 class="anchored" data-anchor-id="install-axolotl-and-dependencies">Install Axolotl and dependencies</h2>
<div id="cell-4" class="cell" data-outputid="e3777b5a-40ef-424f-e181-62dfecd1dd01">
<div class="sourceCode cell-code" id="cb2"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="op">!</span>pip install torch<span class="op">==</span><span class="st">"2.1.2"</span></span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a><span class="op">!</span>pip install <span class="op">-</span>e git<span class="op">+</span>https:<span class="op">//</span>github.com<span class="op">/</span>OpenAccess<span class="op">-</span>AI<span class="op">-</span>Collective<span class="op">/</span>axolotl<span class="co">#egg=axolotl</span></span>
<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a><span class="op">!</span>pip install flash<span class="op">-</span>attn<span class="op">==</span><span class="st">"2.5.0"</span></span>
<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a><span class="op">!</span>pip install deepspeed<span class="op">==</span><span class="st">"0.13.1"</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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<section id="create-an-yaml-config-file" class="level2">
<h2 class="anchored" data-anchor-id="create-an-yaml-config-file">Create an yaml config file</h2>
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<div class="sourceCode cell-code" id="cb3"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> yaml</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="co"># Your YAML string</span></span>
<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a>yaml_string <span class="op">=</span> <span class="st">"""</span></span>
<span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a><span class="st">base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T</span></span>
<span id="cb3-6"><a href="#cb3-6" aria-hidden="true" tabindex="-1"></a><span class="st">model_type: LlamaForCausalLM</span></span>
<span id="cb3-7"><a href="#cb3-7" aria-hidden="true" tabindex="-1"></a><span class="st">tokenizer_type: LlamaTokenizer</span></span>
<span id="cb3-8"><a href="#cb3-8" aria-hidden="true" tabindex="-1"></a><span class="st">is_llama_derived_model: true</span></span>
<span id="cb3-9"><a href="#cb3-9" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-10"><a href="#cb3-10" aria-hidden="true" tabindex="-1"></a><span class="st">load_in_8bit: false</span></span>
<span id="cb3-11"><a href="#cb3-11" aria-hidden="true" tabindex="-1"></a><span class="st">load_in_4bit: true</span></span>
<span id="cb3-12"><a href="#cb3-12" aria-hidden="true" tabindex="-1"></a><span class="st">strict: false</span></span>
<span id="cb3-13"><a href="#cb3-13" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-14"><a href="#cb3-14" aria-hidden="true" tabindex="-1"></a><span class="st">datasets:</span></span>
<span id="cb3-15"><a href="#cb3-15" aria-hidden="true" tabindex="-1"></a><span class="st"> - path: mhenrichsen/alpaca_2k_test</span></span>
<span id="cb3-16"><a href="#cb3-16" aria-hidden="true" tabindex="-1"></a><span class="st"> type: alpaca</span></span>
<span id="cb3-17"><a href="#cb3-17" aria-hidden="true" tabindex="-1"></a><span class="st">dataset_prepared_path:</span></span>
<span id="cb3-18"><a href="#cb3-18" aria-hidden="true" tabindex="-1"></a><span class="st">val_set_size: 0.05</span></span>
<span id="cb3-19"><a href="#cb3-19" aria-hidden="true" tabindex="-1"></a><span class="st">output_dir: ./qlora-out</span></span>
<span id="cb3-20"><a href="#cb3-20" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-21"><a href="#cb3-21" aria-hidden="true" tabindex="-1"></a><span class="st">adapter: qlora</span></span>
<span id="cb3-22"><a href="#cb3-22" aria-hidden="true" tabindex="-1"></a><span class="st">lora_model_dir:</span></span>
<span id="cb3-23"><a href="#cb3-23" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-24"><a href="#cb3-24" aria-hidden="true" tabindex="-1"></a><span class="st">sequence_len: 1096</span></span>
<span id="cb3-25"><a href="#cb3-25" aria-hidden="true" tabindex="-1"></a><span class="st">sample_packing: true</span></span>
<span id="cb3-26"><a href="#cb3-26" aria-hidden="true" tabindex="-1"></a><span class="st">pad_to_sequence_len: true</span></span>
<span id="cb3-27"><a href="#cb3-27" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-28"><a href="#cb3-28" aria-hidden="true" tabindex="-1"></a><span class="st">lora_r: 32</span></span>
<span id="cb3-29"><a href="#cb3-29" aria-hidden="true" tabindex="-1"></a><span class="st">lora_alpha: 16</span></span>
<span id="cb3-30"><a href="#cb3-30" aria-hidden="true" tabindex="-1"></a><span class="st">lora_dropout: 0.05</span></span>
<span id="cb3-31"><a href="#cb3-31" aria-hidden="true" tabindex="-1"></a><span class="st">lora_target_modules:</span></span>
<span id="cb3-32"><a href="#cb3-32" aria-hidden="true" tabindex="-1"></a><span class="st">lora_target_linear: true</span></span>
<span id="cb3-33"><a href="#cb3-33" aria-hidden="true" tabindex="-1"></a><span class="st">lora_fan_in_fan_out:</span></span>
<span id="cb3-34"><a href="#cb3-34" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-35"><a href="#cb3-35" aria-hidden="true" tabindex="-1"></a><span class="st">wandb_project:</span></span>
<span id="cb3-36"><a href="#cb3-36" aria-hidden="true" tabindex="-1"></a><span class="st">wandb_entity:</span></span>
<span id="cb3-37"><a href="#cb3-37" aria-hidden="true" tabindex="-1"></a><span class="st">wandb_watch:</span></span>
<span id="cb3-38"><a href="#cb3-38" aria-hidden="true" tabindex="-1"></a><span class="st">wandb_name:</span></span>
<span id="cb3-39"><a href="#cb3-39" aria-hidden="true" tabindex="-1"></a><span class="st">wandb_log_model:</span></span>
<span id="cb3-40"><a href="#cb3-40" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-41"><a href="#cb3-41" aria-hidden="true" tabindex="-1"></a><span class="st">mlflow_experiment_name: colab-example</span></span>
<span id="cb3-42"><a href="#cb3-42" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-43"><a href="#cb3-43" aria-hidden="true" tabindex="-1"></a><span class="st">gradient_accumulation_steps: 1</span></span>
<span id="cb3-44"><a href="#cb3-44" aria-hidden="true" tabindex="-1"></a><span class="st">micro_batch_size: 1</span></span>
<span id="cb3-45"><a href="#cb3-45" aria-hidden="true" tabindex="-1"></a><span class="st">num_epochs: 4</span></span>
<span id="cb3-46"><a href="#cb3-46" aria-hidden="true" tabindex="-1"></a><span class="st">max_steps: 20</span></span>
<span id="cb3-47"><a href="#cb3-47" aria-hidden="true" tabindex="-1"></a><span class="st">optimizer: paged_adamw_32bit</span></span>
<span id="cb3-48"><a href="#cb3-48" aria-hidden="true" tabindex="-1"></a><span class="st">lr_scheduler: cosine</span></span>
<span id="cb3-49"><a href="#cb3-49" aria-hidden="true" tabindex="-1"></a><span class="st">learning_rate: 0.0002</span></span>
<span id="cb3-50"><a href="#cb3-50" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-51"><a href="#cb3-51" aria-hidden="true" tabindex="-1"></a><span class="st">train_on_inputs: false</span></span>
<span id="cb3-52"><a href="#cb3-52" aria-hidden="true" tabindex="-1"></a><span class="st">group_by_length: false</span></span>
<span id="cb3-53"><a href="#cb3-53" aria-hidden="true" tabindex="-1"></a><span class="st">bf16: false</span></span>
<span id="cb3-54"><a href="#cb3-54" aria-hidden="true" tabindex="-1"></a><span class="st">fp16: true</span></span>
<span id="cb3-55"><a href="#cb3-55" aria-hidden="true" tabindex="-1"></a><span class="st">tf32: false</span></span>
<span id="cb3-56"><a href="#cb3-56" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-57"><a href="#cb3-57" aria-hidden="true" tabindex="-1"></a><span class="st">gradient_checkpointing: true</span></span>
<span id="cb3-58"><a href="#cb3-58" aria-hidden="true" tabindex="-1"></a><span class="st">early_stopping_patience:</span></span>
<span id="cb3-59"><a href="#cb3-59" aria-hidden="true" tabindex="-1"></a><span class="st">resume_from_checkpoint:</span></span>
<span id="cb3-60"><a href="#cb3-60" aria-hidden="true" tabindex="-1"></a><span class="st">local_rank:</span></span>
<span id="cb3-61"><a href="#cb3-61" aria-hidden="true" tabindex="-1"></a><span class="st">logging_steps: 1</span></span>
<span id="cb3-62"><a href="#cb3-62" aria-hidden="true" tabindex="-1"></a><span class="st">xformers_attention:</span></span>
<span id="cb3-63"><a href="#cb3-63" aria-hidden="true" tabindex="-1"></a><span class="st">flash_attention: false</span></span>
<span id="cb3-64"><a href="#cb3-64" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-65"><a href="#cb3-65" aria-hidden="true" tabindex="-1"></a><span class="st">warmup_steps: 10</span></span>
<span id="cb3-66"><a href="#cb3-66" aria-hidden="true" tabindex="-1"></a><span class="st">evals_per_epoch:</span></span>
<span id="cb3-67"><a href="#cb3-67" aria-hidden="true" tabindex="-1"></a><span class="st">saves_per_epoch:</span></span>
<span id="cb3-68"><a href="#cb3-68" aria-hidden="true" tabindex="-1"></a><span class="st">debug:</span></span>
<span id="cb3-69"><a href="#cb3-69" aria-hidden="true" tabindex="-1"></a><span class="st">deepspeed:</span></span>
<span id="cb3-70"><a href="#cb3-70" aria-hidden="true" tabindex="-1"></a><span class="st">weight_decay: 0.0</span></span>
<span id="cb3-71"><a href="#cb3-71" aria-hidden="true" tabindex="-1"></a><span class="st">fsdp:</span></span>
<span id="cb3-72"><a href="#cb3-72" aria-hidden="true" tabindex="-1"></a><span class="st">fsdp_config:</span></span>
<span id="cb3-73"><a href="#cb3-73" aria-hidden="true" tabindex="-1"></a><span class="st">special_tokens:</span></span>
<span id="cb3-74"><a href="#cb3-74" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-75"><a href="#cb3-75" aria-hidden="true" tabindex="-1"></a><span class="st">"""</span></span>
<span id="cb3-76"><a href="#cb3-76" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-77"><a href="#cb3-77" aria-hidden="true" tabindex="-1"></a><span class="co"># Convert the YAML string to a Python dictionary</span></span>
<span id="cb3-78"><a href="#cb3-78" aria-hidden="true" tabindex="-1"></a>yaml_dict <span class="op">=</span> yaml.safe_load(yaml_string)</span>
<span id="cb3-79"><a href="#cb3-79" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-80"><a href="#cb3-80" aria-hidden="true" tabindex="-1"></a><span class="co"># Specify your file path</span></span>
<span id="cb3-81"><a href="#cb3-81" aria-hidden="true" tabindex="-1"></a>file_path <span class="op">=</span> <span class="st">'test_axolotl.yaml'</span></span>
<span id="cb3-82"><a href="#cb3-82" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-83"><a href="#cb3-83" aria-hidden="true" tabindex="-1"></a><span class="co"># Write the YAML file</span></span>
<span id="cb3-84"><a href="#cb3-84" aria-hidden="true" tabindex="-1"></a><span class="cf">with</span> <span class="bu">open</span>(file_path, <span class="st">'w'</span>) <span class="im">as</span> <span class="bu">file</span>:</span>
<span id="cb3-85"><a href="#cb3-85" aria-hidden="true" tabindex="-1"></a> yaml.dump(yaml_dict, <span class="bu">file</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
</section>
<section id="launch-the-training" class="level2">
<h2 class="anchored" data-anchor-id="launch-the-training">Launch the training</h2>
<div id="cell-8" class="cell" data-outputid="d6d0df17-4b53-439c-c802-22c0456d301b">
<div class="sourceCode cell-code" id="cb4"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Buy using the ! the comand will be executed as a bash command</span></span>
<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a><span class="op">!</span>accelerate launch <span class="op">-</span>m axolotl.cli.train <span class="op">/</span>content<span class="op">/</span>test_axolotl.yaml</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
</section>
<section id="play-with-inference" class="level2">
<h2 class="anchored" data-anchor-id="play-with-inference">Play with inference</h2>
<div id="cell-10" class="cell">
<div class="sourceCode cell-code" id="cb5"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Buy using the ! the comand will be executed as a bash command</span></span>
<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a><span class="op">!</span>accelerate launch <span class="op">-</span>m axolotl.cli.inference <span class="op">/</span>content<span class="op">/</span>test_axolotl.yaml <span class="op">\</span></span>
<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a> <span class="op">--</span>qlora_model_dir<span class="op">=</span><span class="st">"./qlora-out"</span> <span class="op">--</span>gradio</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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