tocmo0nlord/axolotl
1
0
Fork 0
Code Issues Pull Requests Actions 3 Packages Projects Releases Wiki Activity

Built site for gh-pages

Browse Source
This commit is contained in:
Quarto GHA Workflow Runner
2025-02-08 02:35:08 +00:00
parent 8c11f6aa3b
commit ca4cd4192e
5 changed files with 47 additions and 47 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
.nojekyll
View File

@@ -1 +1 @@
a4828cd9
9d5ac4d8

12
docs/dataset-formats/index.html
View File

@@ -399,7 +399,7 @@ Description
</tr>
</thead>
<tbody class="list">
<tr data-index="0" data-listing-file-modified-sort="1738982034375" data-listing-reading-time-sort="1" data-listing-word-count-sort="92" data-listing-title-sort="Pre-training" data-listing-filename-sort="pretraining.qmd">
<tr data-index="0" data-listing-file-modified-sort="1738982065783" data-listing-reading-time-sort="1" data-listing-word-count-sort="92" data-listing-title-sort="Pre-training" data-listing-filename-sort="pretraining.qmd">
<td>
<a href="../../docs/dataset-formats/pretraining.html" class="title listing-title">Pre-training</a>
</td>
@@ -407,7 +407,7 @@ Description
<span class="listing-description">Data format for a pre-training completion task.</span>
</td>
</tr>
<tr data-index="1" data-listing-file-modified-sort="1738982034375" data-listing-reading-time-sort="2" data-listing-word-count-sort="308" data-listing-title-sort="Instruction Tuning" data-listing-filename-sort="inst_tune.qmd">
<tr data-index="1" data-listing-file-modified-sort="1738982065783" data-listing-reading-time-sort="2" data-listing-word-count-sort="308" data-listing-title-sort="Instruction Tuning" data-listing-filename-sort="inst_tune.qmd">
<td>
<a href="../../docs/dataset-formats/inst_tune.html" class="title listing-title">Instruction Tuning</a>
</td>
@@ -415,7 +415,7 @@ Description
<span class="listing-description">Instruction tuning formats for supervised fine-tuning.</span>
</td>
</tr>
<tr data-index="2" data-listing-file-modified-sort="1738982034375" data-listing-reading-time-sort="4" data-listing-word-count-sort="625" data-listing-title-sort="Conversation" data-listing-filename-sort="conversation.qmd">
<tr data-index="2" data-listing-file-modified-sort="1738982065783" data-listing-reading-time-sort="4" data-listing-word-count-sort="625" data-listing-title-sort="Conversation" data-listing-filename-sort="conversation.qmd">
<td>
<a href="../../docs/dataset-formats/conversation.html" class="title listing-title">Conversation</a>
</td>
@@ -423,7 +423,7 @@ Description
<span class="listing-description">Conversation format for supervised fine-tuning.</span>
</td>
</tr>
<tr data-index="3" data-listing-file-modified-sort="1738982034375" data-listing-reading-time-sort="1" data-listing-word-count-sort="85" data-listing-title-sort="Stepwise Supervised Format" data-listing-filename-sort="stepwise_supervised.qmd">
<tr data-index="3" data-listing-file-modified-sort="1738982065783" data-listing-reading-time-sort="1" data-listing-word-count-sort="85" data-listing-title-sort="Stepwise Supervised Format" data-listing-filename-sort="stepwise_supervised.qmd">
<td>
<a href="../../docs/dataset-formats/stepwise_supervised.html" class="title listing-title">Stepwise Supervised Format</a>
</td>
@@ -431,7 +431,7 @@ Description
<span class="listing-description">Format for datasets with stepwise completions and labels</span>
</td>
</tr>
<tr data-index="4" data-listing-file-modified-sort="1738982034375" data-listing-reading-time-sort="1" data-listing-word-count-sort="3" data-listing-title-sort="Template-Free" data-listing-filename-sort="template_free.qmd">
<tr data-index="4" data-listing-file-modified-sort="1738982065783" data-listing-reading-time-sort="1" data-listing-word-count-sort="3" data-listing-title-sort="Template-Free" data-listing-filename-sort="template_free.qmd">
<td>
<a href="../../docs/dataset-formats/template_free.html" class="title listing-title">Template-Free</a>
</td>
@@ -439,7 +439,7 @@ Description
<span class="listing-description">Construct prompts without a template.</span>
</td>
</tr>
<tr data-index="5" data-listing-file-modified-sort="1738982034375" data-listing-reading-time-sort="1" data-listing-word-count-sort="92" data-listing-title-sort="Custom Pre-Tokenized Dataset" data-listing-filename-sort="tokenized.qmd">
<tr data-index="5" data-listing-file-modified-sort="1738982065783" data-listing-reading-time-sort="1" data-listing-word-count-sort="92" data-listing-title-sort="Custom Pre-Tokenized Dataset" data-listing-filename-sort="tokenized.qmd">
<td>
<a href="../../docs/dataset-formats/tokenized.html" class="title listing-title">Custom Pre-Tokenized Dataset</a>
</td>

2
index.html
View File

@@ -354,7 +354,7 @@ ul.task-list li input[type="checkbox"] {
</ul>
<section id="quick-start" class="level2">
<h2 class="anchored" data-anchor-id="quick-start">🚀 Quick Start</h2>
<p><strong>Requirements</strong>: - NVIDIA GPU (Ampere or newer for <code>bf16</code> and Flash Attention) or AMD GPU - Python ≥3.10 - PyTorch ≥2.4.1</p>
<p><strong>Requirements</strong>: - NVIDIA GPU (Ampere or newer for <code>bf16</code> and Flash Attention) or AMD GPU - Python 3.11 - PyTorch ≥2.4.1</p>
<section id="installation" class="level3">
<h3 class="anchored" data-anchor-id="installation">Installation</h3>
<pre class="shell"><code>pip3 install --no-build-isolation axolotl[flash-attn,deepspeed]

2
search.json
View File

@@ -733,7 +733,7 @@
"href": "index.html#quick-start",
"title": "Axolotl",
"section": "🚀 Quick Start",
"text": "🚀 Quick Start\nRequirements: - NVIDIA GPU (Ampere or newer for bf16 and Flash Attention) or AMD GPU - Python ≥3.10 - PyTorch ≥2.4.1\n\nInstallation\npip3 install --no-build-isolation axolotl[flash-attn,deepspeed]\n\n# Download example axolotl configs, deepspeed configs\naxolotl fetch examples\naxolotl fetch deepspeed_configs # OPTIONAL\nOther installation approaches are described here.\n\n\nYour First Fine-tune\n# Fetch axolotl examples\naxolotl fetch examples\n\n# Or, specify a custom path\naxolotl fetch examples --dest path/to/folder\n\n# Train a model using LoRA\naxolotl train examples/llama-3/lora-1b.yml\nThat’s it! Check out our Getting Started Guide for a more detailed walkthrough.",
"text": "🚀 Quick Start\nRequirements: - NVIDIA GPU (Ampere or newer for bf16 and Flash Attention) or AMD GPU - Python 3.11 - PyTorch ≥2.4.1\n\nInstallation\npip3 install --no-build-isolation axolotl[flash-attn,deepspeed]\n\n# Download example axolotl configs, deepspeed configs\naxolotl fetch examples\naxolotl fetch deepspeed_configs # OPTIONAL\nOther installation approaches are described here.\n\n\nYour First Fine-tune\n# Fetch axolotl examples\naxolotl fetch examples\n\n# Or, specify a custom path\naxolotl fetch examples --dest path/to/folder\n\n# Train a model using LoRA\naxolotl train examples/llama-3/lora-1b.yml\nThat’s it! Check out our Getting Started Guide for a more detailed walkthrough.",
"crumbs": [
"Home"
]

76
sitemap.xml
View File

@@ -2,154 +2,154 @@
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/FAQS.html</loc>
<lastmod>2025-02-08T02:33:54.374Z</lastmod>
<lastmod>2025-02-08T02:34:25.781Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/dataset-formats/conversation.html</loc>
<lastmod>2025-02-08T02:33:54.375Z</lastmod>
<lastmod>2025-02-08T02:34:25.783Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/dataset-formats/index.html</loc>
<lastmod>2025-02-08T02:33:54.375Z</lastmod>
<lastmod>2025-02-08T02:34:25.783Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/dataset-formats/inst_tune.html</loc>
<lastmod>2025-02-08T02:33:54.375Z</lastmod>
<lastmod>2025-02-08T02:34:25.783Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/dataset-formats/template_free.html</loc>
<lastmod>2025-02-08T02:33:54.375Z</lastmod>
<lastmod>2025-02-08T02:34:25.783Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/amd_hpc.html</loc>
<lastmod>2025-02-08T02:33:54.375Z</lastmod>
<lastmod>2025-02-08T02:34:25.782Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/nccl.html</loc>
<lastmod>2025-02-08T02:33:54.379Z</lastmod>
<lastmod>2025-02-08T02:34:25.786Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/installation.html</loc>
<lastmod>2025-02-08T02:33:54.379Z</lastmod>
<lastmod>2025-02-08T02:34:25.786Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/config.html</loc>
<lastmod>2025-02-08T02:33:54.375Z</lastmod>
<lastmod>2025-02-08T02:34:25.783Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/lr_groups.html</loc>
<lastmod>2025-02-08T02:33:54.379Z</lastmod>
<lastmod>2025-02-08T02:34:25.786Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/debugging.html</loc>
<lastmod>2025-02-08T02:33:54.375Z</lastmod>
<lastmod>2025-02-08T02:34:25.783Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/dataset_preprocessing.html</loc>
<lastmod>2025-02-08T02:33:54.375Z</lastmod>
<lastmod>2025-02-08T02:34:25.783Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/getting-started.html</loc>
<lastmod>2025-02-08T02:33:54.376Z</lastmod>
<lastmod>2025-02-08T02:34:25.783Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/multi-node.html</loc>
<lastmod>2025-02-08T02:33:54.379Z</lastmod>
<lastmod>2025-02-08T02:34:25.786Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/multimodal.html</loc>
<lastmod>2025-02-08T02:33:54.379Z</lastmod>
<lastmod>2025-02-08T02:34:25.786Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/mac.html</loc>
<lastmod>2025-02-08T02:33:54.379Z</lastmod>
<lastmod>2025-02-08T02:34:25.786Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/examples/colab-notebooks/colab-axolotl-example.html</loc>
<lastmod>2025-02-08T02:33:54.381Z</lastmod>
<lastmod>2025-02-08T02:34:25.787Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/TODO.html</loc>
<lastmod>2025-02-08T02:33:54.374Z</lastmod>
<lastmod>2025-02-08T02:34:25.782Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/src/axolotl/integrations/cut_cross_entropy/ACKNOWLEDGEMENTS.html</loc>
<lastmod>2025-02-08T02:33:54.399Z</lastmod>
<lastmod>2025-02-08T02:34:25.801Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/src/axolotl/integrations/kd/topk_logprob/LICENSE.html</loc>
<lastmod>2025-02-08T02:33:54.400Z</lastmod>
<lastmod>2025-02-08T02:34:25.802Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/src/axolotl/integrations/LICENSE.html</loc>
<lastmod>2025-02-08T02:33:54.398Z</lastmod>
<lastmod>2025-02-08T02:34:25.801Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/index.html</loc>
<lastmod>2025-02-08T02:33:54.394Z</lastmod>
<lastmod>2025-02-08T02:34:25.798Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/multi-gpu.html</loc>
<lastmod>2025-02-08T02:33:54.379Z</lastmod>
<lastmod>2025-02-08T02:34:25.786Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/unsloth.html</loc>
<lastmod>2025-02-08T02:33:54.380Z</lastmod>
<lastmod>2025-02-08T02:34:25.786Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/inference.html</loc>
<lastmod>2025-02-08T02:33:54.379Z</lastmod>
<lastmod>2025-02-08T02:34:25.786Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/batch_vs_grad.html</loc>
<lastmod>2025-02-08T02:33:54.375Z</lastmod>
<lastmod>2025-02-08T02:34:25.782Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/faq.html</loc>
<lastmod>2025-02-08T02:33:54.376Z</lastmod>
<lastmod>2025-02-08T02:34:25.783Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/ray-integration.html</loc>
<lastmod>2025-02-08T02:33:54.380Z</lastmod>
<lastmod>2025-02-08T02:34:25.786Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/fsdp_qlora.html</loc>
<lastmod>2025-02-08T02:33:54.376Z</lastmod>
<lastmod>2025-02-08T02:34:25.783Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/rlhf.html</loc>
<lastmod>2025-02-08T02:33:54.380Z</lastmod>
<lastmod>2025-02-08T02:34:25.786Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/multipack.html</loc>
<lastmod>2025-02-08T02:33:54.379Z</lastmod>
<lastmod>2025-02-08T02:34:25.786Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/input_output.html</loc>
<lastmod>2025-02-08T02:33:54.379Z</lastmod>
<lastmod>2025-02-08T02:34:25.786Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/reward_modelling.html</loc>
<lastmod>2025-02-08T02:33:54.380Z</lastmod>
<lastmod>2025-02-08T02:34:25.786Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/torchao.html</loc>
<lastmod>2025-02-08T02:33:54.380Z</lastmod>
<lastmod>2025-02-08T02:34:25.786Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/dataset-formats/tokenized.html</loc>
<lastmod>2025-02-08T02:33:54.375Z</lastmod>
<lastmod>2025-02-08T02:34:25.783Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/dataset-formats/pretraining.html</loc>
<lastmod>2025-02-08T02:33:54.375Z</lastmod>
<lastmod>2025-02-08T02:34:25.783Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/dataset-formats/stepwise_supervised.html</loc>
<lastmod>2025-02-08T02:33:54.375Z</lastmod>
<lastmod>2025-02-08T02:34:25.783Z</lastmod>
</url>
<url>
<loc>https://axolotl-ai-cloud.github.io/axolotl/docs/cli.html</loc>
<lastmod>2025-02-08T02:33:54.375Z</lastmod>
<lastmod>2025-02-08T02:34:25.783Z</lastmod>
</url>
</urlset>