Built site for gh-pages
This commit is contained in:
Quarto GHA Workflow Runner
10
.github/workflows/main.yml
vendored
10
.github/workflows/main.yml
vendored
@@ -25,6 +25,11 @@ jobs:
|
||||
python_version: "3.11"
|
||||
pytorch: 2.6.0
|
||||
axolotl_extras: vllm
|
||||
- cuda: 126
|
||||
cuda_version: 12.6.3
|
||||
python_version: "3.11"
|
||||
pytorch: 2.7.0
|
||||
axolotl_extras: vllm
|
||||
- cuda: 126
|
||||
cuda_version: 12.6.3
|
||||
python_version: "3.11"
|
||||
@@ -93,6 +98,11 @@ jobs:
|
||||
pytorch: 2.6.0
|
||||
axolotl_extras:
|
||||
is_latest: true
|
||||
- cuda: 126
|
||||
cuda_version: 12.6.3
|
||||
python_version: "3.11"
|
||||
pytorch: 2.7.0
|
||||
axolotl_extras:
|
||||
- cuda: 126
|
||||
cuda_version: 12.6.3
|
||||
python_version: "3.11"
|
||||
|
||||
@@ -695,23 +695,6 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
|
||||
<span id="cb8-10"><a href="#cb8-10" aria-hidden="true" tabindex="-1"></a> split_thinking<span class="op">=</span><span class="va">False</span>,</span>
|
||||
<span id="cb8-11"><a href="#cb8-11" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
|
||||
<p>Mistral strategy for chat template.</p>
|
||||
<section id="attributes" class="level4">
|
||||
<h4 class="anchored" data-anchor-id="attributes">Attributes</h4>
|
||||
<table class="caption-top table">
|
||||
<thead>
|
||||
<tr class="header">
|
||||
<th>Name</th>
|
||||
<th>Description</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr class="odd">
|
||||
<td><a href="#axolotl.prompt_strategies.chat_template.MistralStrategy.supports_multiprocessing">supports_multiprocessing</a></td>
|
||||
<td>Whether this tokenizing strategy supports multiprocessing.</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</section>
|
||||
<section id="methods-2" class="level4">
|
||||
<h4 class="anchored" data-anchor-id="methods-2">Methods</h4>
|
||||
<table class="caption-top table">
|
||||
|
||||
@@ -667,23 +667,6 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
|
||||
<span id="cb11-5"><a href="#cb11-5" aria-hidden="true" tabindex="-1"></a> sequence_len<span class="op">=</span><span class="dv">2048</span>,</span>
|
||||
<span id="cb11-6"><a href="#cb11-6" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
|
||||
<p>Abstract class for tokenizing strategies</p>
|
||||
<section id="attributes" class="level4">
|
||||
<h4 class="anchored" data-anchor-id="attributes">Attributes</h4>
|
||||
<table class="caption-top table">
|
||||
<thead>
|
||||
<tr class="header">
|
||||
<th>Name</th>
|
||||
<th>Description</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr class="odd">
|
||||
<td><a href="#axolotl.prompt_tokenizers.PromptTokenizingStrategy.supports_multiprocessing">supports_multiprocessing</a></td>
|
||||
<td>Whether this tokenizing strategy supports multiprocessing.</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</section>
|
||||
</section>
|
||||
<section id="axolotl.prompt_tokenizers.ReflectionPromptTokenizingStrategy" class="level3">
|
||||
<h3 class="anchored" data-anchor-id="axolotl.prompt_tokenizers.ReflectionPromptTokenizingStrategy">ReflectionPromptTokenizingStrategy</h3>
|
||||
|
||||
@@ -559,7 +559,7 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
|
||||
<ul>
|
||||
<li>If you are installing from pip</li>
|
||||
</ul>
|
||||
<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">pip3</span> uninstall <span class="at">-y</span> cut-cross-entropy <span class="kw">&&</span> <span class="ex">pip3</span> install <span class="st">"cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@622068a"</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
|
||||
<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">pip3</span> uninstall <span class="at">-y</span> cut-cross-entropy <span class="kw">&&</span> <span class="ex">pip3</span> install <span class="st">"cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@865b899"</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
|
||||
</section>
|
||||
<section id="usage" class="level3">
|
||||
<h3 class="anchored" data-anchor-id="usage">Usage</h3>
|
||||
|
||||
@@ -481,7 +481,7 @@ See the <a href="#example-config">example config</a> file in addition to reading
|
||||
</blockquote>
|
||||
<ol type="1">
|
||||
<li>Set <code>adapter: qlora</code> in your axolotl config file.</li>
|
||||
<li>Enable FSDP in your axolotl config, as <a href="https://github.com/axolotl-ai-cloud/axolotl?tab=readme-ov-file#fsdp">described here</a>.</li>
|
||||
<li>Enable FSDP in your axolotl config, as <a href="../docs/multi-gpu.html#sec-fsdp">described here</a>.</li>
|
||||
<li>Use one of the supported model types: <code>llama</code>, <code>mistral</code> or <code>mixtral</code>.</li>
|
||||
</ol>
|
||||
</section>
|
||||
|
||||
10
search.json
10
search.json
@@ -698,14 +698,14 @@
|
||||
"href": "docs/api/prompt_strategies.chat_template.html",
|
||||
"title": "prompt_strategies.chat_template",
|
||||
"section": "",
|
||||
"text": "prompt_strategies.chat_template\nHF Chat Templates prompt strategy\n\n\n\n\n\nName\nDescription\n\n\n\n\nChatTemplatePrompter\nPrompter for HF chat templates\n\n\nChatTemplateStrategy\nTokenizing strategy for instruction-based prompts.\n\n\nMistralPrompter\nMistral prompter for chat template.\n\n\nMistralStrategy\nMistral strategy for chat template.\n\n\nStrategyLoader\nLoad chat template strategy based on configuration.\n\n\n\n\n\nprompt_strategies.chat_template.ChatTemplatePrompter(\n tokenizer,\n chat_template,\n processor=None,\n max_length=2048,\n message_property_mappings=None,\n message_field_training=None,\n message_field_training_detail=None,\n field_messages='messages',\n field_system='system',\n field_tools='tools',\n roles=None,\n chat_template_kwargs=None,\n drop_system_message=False,\n)\nPrompter for HF chat templates\n\n\n\n\n\nName\nDescription\n\n\n\n\nbuild_prompt\nBuild a prompt from a conversation.\n\n\n\n\n\nprompt_strategies.chat_template.ChatTemplatePrompter.build_prompt(\n conversation,\n add_generation_prompt=False,\n images=None,\n tools=None,\n)\nBuild a prompt from a conversation.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nconversation\nlist[dict]\nA list of messages.\nrequired\n\n\nadd_generation_prompt\n\nWhether to add a generation prompt.\nFalse\n\n\nimages\n\nA list of images. (optional)\nNone\n\n\ntools\n\nA list of tools. (optional)\nNone\n\n\n\n\n\n\n\n\n\nprompt_strategies.chat_template.ChatTemplateStrategy(\n prompter,\n tokenizer,\n train_on_inputs,\n sequence_len,\n roles_to_train=None,\n train_on_eos=None,\n train_on_eot=None,\n eot_tokens=None,\n split_thinking=False,\n)\nTokenizing strategy for instruction-based prompts.\n\n\n\n\n\nName\nDescription\n\n\n\n\nfind_first_eot_token\nFind the first EOT token in the input_ids starting from start_idx.\n\n\nfind_turn\nLocate the starting and ending indices of the specified turn in a conversation.\n\n\ntokenize_prompt\nPublic method that can handle either a single prompt or a batch of prompts.\n\n\n\n\n\nprompt_strategies.chat_template.ChatTemplateStrategy.find_first_eot_token(\n input_ids,\n start_idx,\n)\nFind the first EOT token in the input_ids starting from start_idx.\n\n\n\nprompt_strategies.chat_template.ChatTemplateStrategy.find_turn(\n turns,\n turn_idx,\n tools=None,\n)\nLocate the starting and ending indices of the specified turn in a conversation.\n\n\n\nprompt_strategies.chat_template.ChatTemplateStrategy.tokenize_prompt(prompt)\nPublic method that can handle either a single prompt or a batch of prompts.\n\n\n\n\n\nprompt_strategies.chat_template.MistralPrompter(*args, **kwargs)\nMistral prompter for chat template.\n\n\n\nprompt_strategies.chat_template.MistralStrategy(\n prompter,\n tokenizer,\n train_on_inputs,\n sequence_len,\n roles_to_train=None,\n train_on_eos=None,\n train_on_eot=None,\n eot_tokens=None,\n split_thinking=False,\n)\nMistral strategy for chat template.\n\n\n\n\n\nName\nDescription\n\n\n\n\nsupports_multiprocessing\nWhether this tokenizing strategy supports multiprocessing.\n\n\n\n\n\n\n\n\n\nName\nDescription\n\n\n\n\nfind_first_eot_token\nFind the first EOT token in the input_ids starting from start_idx.\n\n\n\n\n\nprompt_strategies.chat_template.MistralStrategy.find_first_eot_token(\n input_ids,\n start_idx,\n)\nFind the first EOT token in the input_ids starting from start_idx.\n\n\n\n\n\nprompt_strategies.chat_template.StrategyLoader()\nLoad chat template strategy based on configuration."
|
||||
"text": "prompt_strategies.chat_template\nHF Chat Templates prompt strategy\n\n\n\n\n\nName\nDescription\n\n\n\n\nChatTemplatePrompter\nPrompter for HF chat templates\n\n\nChatTemplateStrategy\nTokenizing strategy for instruction-based prompts.\n\n\nMistralPrompter\nMistral prompter for chat template.\n\n\nMistralStrategy\nMistral strategy for chat template.\n\n\nStrategyLoader\nLoad chat template strategy based on configuration.\n\n\n\n\n\nprompt_strategies.chat_template.ChatTemplatePrompter(\n tokenizer,\n chat_template,\n processor=None,\n max_length=2048,\n message_property_mappings=None,\n message_field_training=None,\n message_field_training_detail=None,\n field_messages='messages',\n field_system='system',\n field_tools='tools',\n roles=None,\n chat_template_kwargs=None,\n drop_system_message=False,\n)\nPrompter for HF chat templates\n\n\n\n\n\nName\nDescription\n\n\n\n\nbuild_prompt\nBuild a prompt from a conversation.\n\n\n\n\n\nprompt_strategies.chat_template.ChatTemplatePrompter.build_prompt(\n conversation,\n add_generation_prompt=False,\n images=None,\n tools=None,\n)\nBuild a prompt from a conversation.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nconversation\nlist[dict]\nA list of messages.\nrequired\n\n\nadd_generation_prompt\n\nWhether to add a generation prompt.\nFalse\n\n\nimages\n\nA list of images. (optional)\nNone\n\n\ntools\n\nA list of tools. (optional)\nNone\n\n\n\n\n\n\n\n\n\nprompt_strategies.chat_template.ChatTemplateStrategy(\n prompter,\n tokenizer,\n train_on_inputs,\n sequence_len,\n roles_to_train=None,\n train_on_eos=None,\n train_on_eot=None,\n eot_tokens=None,\n split_thinking=False,\n)\nTokenizing strategy for instruction-based prompts.\n\n\n\n\n\nName\nDescription\n\n\n\n\nfind_first_eot_token\nFind the first EOT token in the input_ids starting from start_idx.\n\n\nfind_turn\nLocate the starting and ending indices of the specified turn in a conversation.\n\n\ntokenize_prompt\nPublic method that can handle either a single prompt or a batch of prompts.\n\n\n\n\n\nprompt_strategies.chat_template.ChatTemplateStrategy.find_first_eot_token(\n input_ids,\n start_idx,\n)\nFind the first EOT token in the input_ids starting from start_idx.\n\n\n\nprompt_strategies.chat_template.ChatTemplateStrategy.find_turn(\n turns,\n turn_idx,\n tools=None,\n)\nLocate the starting and ending indices of the specified turn in a conversation.\n\n\n\nprompt_strategies.chat_template.ChatTemplateStrategy.tokenize_prompt(prompt)\nPublic method that can handle either a single prompt or a batch of prompts.\n\n\n\n\n\nprompt_strategies.chat_template.MistralPrompter(*args, **kwargs)\nMistral prompter for chat template.\n\n\n\nprompt_strategies.chat_template.MistralStrategy(\n prompter,\n tokenizer,\n train_on_inputs,\n sequence_len,\n roles_to_train=None,\n train_on_eos=None,\n train_on_eot=None,\n eot_tokens=None,\n split_thinking=False,\n)\nMistral strategy for chat template.\n\n\n\n\n\nName\nDescription\n\n\n\n\nfind_first_eot_token\nFind the first EOT token in the input_ids starting from start_idx.\n\n\n\n\n\nprompt_strategies.chat_template.MistralStrategy.find_first_eot_token(\n input_ids,\n start_idx,\n)\nFind the first EOT token in the input_ids starting from start_idx.\n\n\n\n\n\nprompt_strategies.chat_template.StrategyLoader()\nLoad chat template strategy based on configuration."
|
||||
},
|
||||
{
|
||||
"objectID": "docs/api/prompt_strategies.chat_template.html#classes",
|
||||
"href": "docs/api/prompt_strategies.chat_template.html#classes",
|
||||
"title": "prompt_strategies.chat_template",
|
||||
"section": "",
|
||||
"text": "Name\nDescription\n\n\n\n\nChatTemplatePrompter\nPrompter for HF chat templates\n\n\nChatTemplateStrategy\nTokenizing strategy for instruction-based prompts.\n\n\nMistralPrompter\nMistral prompter for chat template.\n\n\nMistralStrategy\nMistral strategy for chat template.\n\n\nStrategyLoader\nLoad chat template strategy based on configuration.\n\n\n\n\n\nprompt_strategies.chat_template.ChatTemplatePrompter(\n tokenizer,\n chat_template,\n processor=None,\n max_length=2048,\n message_property_mappings=None,\n message_field_training=None,\n message_field_training_detail=None,\n field_messages='messages',\n field_system='system',\n field_tools='tools',\n roles=None,\n chat_template_kwargs=None,\n drop_system_message=False,\n)\nPrompter for HF chat templates\n\n\n\n\n\nName\nDescription\n\n\n\n\nbuild_prompt\nBuild a prompt from a conversation.\n\n\n\n\n\nprompt_strategies.chat_template.ChatTemplatePrompter.build_prompt(\n conversation,\n add_generation_prompt=False,\n images=None,\n tools=None,\n)\nBuild a prompt from a conversation.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nconversation\nlist[dict]\nA list of messages.\nrequired\n\n\nadd_generation_prompt\n\nWhether to add a generation prompt.\nFalse\n\n\nimages\n\nA list of images. (optional)\nNone\n\n\ntools\n\nA list of tools. (optional)\nNone\n\n\n\n\n\n\n\n\n\nprompt_strategies.chat_template.ChatTemplateStrategy(\n prompter,\n tokenizer,\n train_on_inputs,\n sequence_len,\n roles_to_train=None,\n train_on_eos=None,\n train_on_eot=None,\n eot_tokens=None,\n split_thinking=False,\n)\nTokenizing strategy for instruction-based prompts.\n\n\n\n\n\nName\nDescription\n\n\n\n\nfind_first_eot_token\nFind the first EOT token in the input_ids starting from start_idx.\n\n\nfind_turn\nLocate the starting and ending indices of the specified turn in a conversation.\n\n\ntokenize_prompt\nPublic method that can handle either a single prompt or a batch of prompts.\n\n\n\n\n\nprompt_strategies.chat_template.ChatTemplateStrategy.find_first_eot_token(\n input_ids,\n start_idx,\n)\nFind the first EOT token in the input_ids starting from start_idx.\n\n\n\nprompt_strategies.chat_template.ChatTemplateStrategy.find_turn(\n turns,\n turn_idx,\n tools=None,\n)\nLocate the starting and ending indices of the specified turn in a conversation.\n\n\n\nprompt_strategies.chat_template.ChatTemplateStrategy.tokenize_prompt(prompt)\nPublic method that can handle either a single prompt or a batch of prompts.\n\n\n\n\n\nprompt_strategies.chat_template.MistralPrompter(*args, **kwargs)\nMistral prompter for chat template.\n\n\n\nprompt_strategies.chat_template.MistralStrategy(\n prompter,\n tokenizer,\n train_on_inputs,\n sequence_len,\n roles_to_train=None,\n train_on_eos=None,\n train_on_eot=None,\n eot_tokens=None,\n split_thinking=False,\n)\nMistral strategy for chat template.\n\n\n\n\n\nName\nDescription\n\n\n\n\nsupports_multiprocessing\nWhether this tokenizing strategy supports multiprocessing.\n\n\n\n\n\n\n\n\n\nName\nDescription\n\n\n\n\nfind_first_eot_token\nFind the first EOT token in the input_ids starting from start_idx.\n\n\n\n\n\nprompt_strategies.chat_template.MistralStrategy.find_first_eot_token(\n input_ids,\n start_idx,\n)\nFind the first EOT token in the input_ids starting from start_idx.\n\n\n\n\n\nprompt_strategies.chat_template.StrategyLoader()\nLoad chat template strategy based on configuration."
|
||||
"text": "Name\nDescription\n\n\n\n\nChatTemplatePrompter\nPrompter for HF chat templates\n\n\nChatTemplateStrategy\nTokenizing strategy for instruction-based prompts.\n\n\nMistralPrompter\nMistral prompter for chat template.\n\n\nMistralStrategy\nMistral strategy for chat template.\n\n\nStrategyLoader\nLoad chat template strategy based on configuration.\n\n\n\n\n\nprompt_strategies.chat_template.ChatTemplatePrompter(\n tokenizer,\n chat_template,\n processor=None,\n max_length=2048,\n message_property_mappings=None,\n message_field_training=None,\n message_field_training_detail=None,\n field_messages='messages',\n field_system='system',\n field_tools='tools',\n roles=None,\n chat_template_kwargs=None,\n drop_system_message=False,\n)\nPrompter for HF chat templates\n\n\n\n\n\nName\nDescription\n\n\n\n\nbuild_prompt\nBuild a prompt from a conversation.\n\n\n\n\n\nprompt_strategies.chat_template.ChatTemplatePrompter.build_prompt(\n conversation,\n add_generation_prompt=False,\n images=None,\n tools=None,\n)\nBuild a prompt from a conversation.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nconversation\nlist[dict]\nA list of messages.\nrequired\n\n\nadd_generation_prompt\n\nWhether to add a generation prompt.\nFalse\n\n\nimages\n\nA list of images. (optional)\nNone\n\n\ntools\n\nA list of tools. (optional)\nNone\n\n\n\n\n\n\n\n\n\nprompt_strategies.chat_template.ChatTemplateStrategy(\n prompter,\n tokenizer,\n train_on_inputs,\n sequence_len,\n roles_to_train=None,\n train_on_eos=None,\n train_on_eot=None,\n eot_tokens=None,\n split_thinking=False,\n)\nTokenizing strategy for instruction-based prompts.\n\n\n\n\n\nName\nDescription\n\n\n\n\nfind_first_eot_token\nFind the first EOT token in the input_ids starting from start_idx.\n\n\nfind_turn\nLocate the starting and ending indices of the specified turn in a conversation.\n\n\ntokenize_prompt\nPublic method that can handle either a single prompt or a batch of prompts.\n\n\n\n\n\nprompt_strategies.chat_template.ChatTemplateStrategy.find_first_eot_token(\n input_ids,\n start_idx,\n)\nFind the first EOT token in the input_ids starting from start_idx.\n\n\n\nprompt_strategies.chat_template.ChatTemplateStrategy.find_turn(\n turns,\n turn_idx,\n tools=None,\n)\nLocate the starting and ending indices of the specified turn in a conversation.\n\n\n\nprompt_strategies.chat_template.ChatTemplateStrategy.tokenize_prompt(prompt)\nPublic method that can handle either a single prompt or a batch of prompts.\n\n\n\n\n\nprompt_strategies.chat_template.MistralPrompter(*args, **kwargs)\nMistral prompter for chat template.\n\n\n\nprompt_strategies.chat_template.MistralStrategy(\n prompter,\n tokenizer,\n train_on_inputs,\n sequence_len,\n roles_to_train=None,\n train_on_eos=None,\n train_on_eot=None,\n eot_tokens=None,\n split_thinking=False,\n)\nMistral strategy for chat template.\n\n\n\n\n\nName\nDescription\n\n\n\n\nfind_first_eot_token\nFind the first EOT token in the input_ids starting from start_idx.\n\n\n\n\n\nprompt_strategies.chat_template.MistralStrategy.find_first_eot_token(\n input_ids,\n start_idx,\n)\nFind the first EOT token in the input_ids starting from start_idx.\n\n\n\n\n\nprompt_strategies.chat_template.StrategyLoader()\nLoad chat template strategy based on configuration."
|
||||
},
|
||||
{
|
||||
"objectID": "docs/api/prompt_strategies.kto.user_defined.html",
|
||||
@@ -2959,14 +2959,14 @@
|
||||
"href": "docs/api/prompt_tokenizers.html",
|
||||
"title": "prompt_tokenizers",
|
||||
"section": "",
|
||||
"text": "prompt_tokenizers\nModule containing PromptTokenizingStrategy and Prompter classes\n\n\n\n\n\nName\nDescription\n\n\n\n\nAlpacaMultipleChoicePromptTokenizingStrategy\nTokenizing strategy for Alpaca Multiple Choice prompts.\n\n\nAlpacaPromptTokenizingStrategy\nTokenizing strategy for Alpaca prompts.\n\n\nAlpacaReflectionPTStrategy\nTokenizing strategy for Alpaca Reflection prompts.\n\n\nDatasetWrappingStrategy\nAbstract class for wrapping datasets for Chat Messages\n\n\nGPTeacherPromptTokenizingStrategy\nTokenizing strategy for GPTeacher prompts.\n\n\nInstructionPromptTokenizingStrategy\nTokenizing strategy for instruction-based prompts.\n\n\nInvalidDataException\nException raised when the data is invalid\n\n\nJeopardyPromptTokenizingStrategy\nTokenizing strategy for Jeopardy prompts.\n\n\nNomicGPT4AllPromptTokenizingStrategy\nTokenizing strategy for NomicGPT4All prompts.\n\n\nOpenAssistantPromptTokenizingStrategy\nTokenizing strategy for OpenAssistant prompts.\n\n\nPromptTokenizingStrategy\nAbstract class for tokenizing strategies\n\n\nReflectionPromptTokenizingStrategy\nTokenizing strategy for Reflection prompts.\n\n\nSummarizeTLDRPromptTokenizingStrategy\nTokenizing strategy for SummarizeTLDR prompts.\n\n\n\n\n\nprompt_tokenizers.AlpacaMultipleChoicePromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for Alpaca Multiple Choice prompts.\n\n\n\nprompt_tokenizers.AlpacaPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for Alpaca prompts.\n\n\n\nprompt_tokenizers.AlpacaReflectionPTStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for Alpaca Reflection prompts.\n\n\n\nprompt_tokenizers.DatasetWrappingStrategy()\nAbstract class for wrapping datasets for Chat Messages\n\n\n\nprompt_tokenizers.GPTeacherPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for GPTeacher prompts.\n\n\n\nprompt_tokenizers.InstructionPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for instruction-based prompts.\n\n\n\nprompt_tokenizers.InvalidDataException()\nException raised when the data is invalid\n\n\n\nprompt_tokenizers.JeopardyPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for Jeopardy prompts.\n\n\n\nprompt_tokenizers.NomicGPT4AllPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for NomicGPT4All prompts.\n\n\n\nprompt_tokenizers.OpenAssistantPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for OpenAssistant prompts.\n\n\n\nprompt_tokenizers.PromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nAbstract class for tokenizing strategies\n\n\n\n\n\nName\nDescription\n\n\n\n\nsupports_multiprocessing\nWhether this tokenizing strategy supports multiprocessing.\n\n\n\n\n\n\n\nprompt_tokenizers.ReflectionPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for Reflection prompts.\n\n\n\nprompt_tokenizers.SummarizeTLDRPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for SummarizeTLDR prompts.\n\n\n\n\n\n\n\nName\nDescription\n\n\n\n\nparse_tokenized_to_result\nParses the tokenized prompt and append the tokenized input_ids, attention_mask and labels to the result\n\n\ntokenize_prompt_default\nReturns the default values for the tokenize prompt function\n\n\n\n\n\nprompt_tokenizers.parse_tokenized_to_result(\n result,\n current_len,\n res,\n labels,\n pad_token_id=None,\n)\nParses the tokenized prompt and append the tokenized input_ids, attention_mask and labels to the result\n\n\n\nprompt_tokenizers.tokenize_prompt_default()\nReturns the default values for the tokenize prompt function"
|
||||
"text": "prompt_tokenizers\nModule containing PromptTokenizingStrategy and Prompter classes\n\n\n\n\n\nName\nDescription\n\n\n\n\nAlpacaMultipleChoicePromptTokenizingStrategy\nTokenizing strategy for Alpaca Multiple Choice prompts.\n\n\nAlpacaPromptTokenizingStrategy\nTokenizing strategy for Alpaca prompts.\n\n\nAlpacaReflectionPTStrategy\nTokenizing strategy for Alpaca Reflection prompts.\n\n\nDatasetWrappingStrategy\nAbstract class for wrapping datasets for Chat Messages\n\n\nGPTeacherPromptTokenizingStrategy\nTokenizing strategy for GPTeacher prompts.\n\n\nInstructionPromptTokenizingStrategy\nTokenizing strategy for instruction-based prompts.\n\n\nInvalidDataException\nException raised when the data is invalid\n\n\nJeopardyPromptTokenizingStrategy\nTokenizing strategy for Jeopardy prompts.\n\n\nNomicGPT4AllPromptTokenizingStrategy\nTokenizing strategy for NomicGPT4All prompts.\n\n\nOpenAssistantPromptTokenizingStrategy\nTokenizing strategy for OpenAssistant prompts.\n\n\nPromptTokenizingStrategy\nAbstract class for tokenizing strategies\n\n\nReflectionPromptTokenizingStrategy\nTokenizing strategy for Reflection prompts.\n\n\nSummarizeTLDRPromptTokenizingStrategy\nTokenizing strategy for SummarizeTLDR prompts.\n\n\n\n\n\nprompt_tokenizers.AlpacaMultipleChoicePromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for Alpaca Multiple Choice prompts.\n\n\n\nprompt_tokenizers.AlpacaPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for Alpaca prompts.\n\n\n\nprompt_tokenizers.AlpacaReflectionPTStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for Alpaca Reflection prompts.\n\n\n\nprompt_tokenizers.DatasetWrappingStrategy()\nAbstract class for wrapping datasets for Chat Messages\n\n\n\nprompt_tokenizers.GPTeacherPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for GPTeacher prompts.\n\n\n\nprompt_tokenizers.InstructionPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for instruction-based prompts.\n\n\n\nprompt_tokenizers.InvalidDataException()\nException raised when the data is invalid\n\n\n\nprompt_tokenizers.JeopardyPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for Jeopardy prompts.\n\n\n\nprompt_tokenizers.NomicGPT4AllPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for NomicGPT4All prompts.\n\n\n\nprompt_tokenizers.OpenAssistantPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for OpenAssistant prompts.\n\n\n\nprompt_tokenizers.PromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nAbstract class for tokenizing strategies\n\n\n\nprompt_tokenizers.ReflectionPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for Reflection prompts.\n\n\n\nprompt_tokenizers.SummarizeTLDRPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for SummarizeTLDR prompts.\n\n\n\n\n\n\n\nName\nDescription\n\n\n\n\nparse_tokenized_to_result\nParses the tokenized prompt and append the tokenized input_ids, attention_mask and labels to the result\n\n\ntokenize_prompt_default\nReturns the default values for the tokenize prompt function\n\n\n\n\n\nprompt_tokenizers.parse_tokenized_to_result(\n result,\n current_len,\n res,\n labels,\n pad_token_id=None,\n)\nParses the tokenized prompt and append the tokenized input_ids, attention_mask and labels to the result\n\n\n\nprompt_tokenizers.tokenize_prompt_default()\nReturns the default values for the tokenize prompt function"
|
||||
},
|
||||
{
|
||||
"objectID": "docs/api/prompt_tokenizers.html#classes",
|
||||
"href": "docs/api/prompt_tokenizers.html#classes",
|
||||
"title": "prompt_tokenizers",
|
||||
"section": "",
|
||||
"text": "Name\nDescription\n\n\n\n\nAlpacaMultipleChoicePromptTokenizingStrategy\nTokenizing strategy for Alpaca Multiple Choice prompts.\n\n\nAlpacaPromptTokenizingStrategy\nTokenizing strategy for Alpaca prompts.\n\n\nAlpacaReflectionPTStrategy\nTokenizing strategy for Alpaca Reflection prompts.\n\n\nDatasetWrappingStrategy\nAbstract class for wrapping datasets for Chat Messages\n\n\nGPTeacherPromptTokenizingStrategy\nTokenizing strategy for GPTeacher prompts.\n\n\nInstructionPromptTokenizingStrategy\nTokenizing strategy for instruction-based prompts.\n\n\nInvalidDataException\nException raised when the data is invalid\n\n\nJeopardyPromptTokenizingStrategy\nTokenizing strategy for Jeopardy prompts.\n\n\nNomicGPT4AllPromptTokenizingStrategy\nTokenizing strategy for NomicGPT4All prompts.\n\n\nOpenAssistantPromptTokenizingStrategy\nTokenizing strategy for OpenAssistant prompts.\n\n\nPromptTokenizingStrategy\nAbstract class for tokenizing strategies\n\n\nReflectionPromptTokenizingStrategy\nTokenizing strategy for Reflection prompts.\n\n\nSummarizeTLDRPromptTokenizingStrategy\nTokenizing strategy for SummarizeTLDR prompts.\n\n\n\n\n\nprompt_tokenizers.AlpacaMultipleChoicePromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for Alpaca Multiple Choice prompts.\n\n\n\nprompt_tokenizers.AlpacaPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for Alpaca prompts.\n\n\n\nprompt_tokenizers.AlpacaReflectionPTStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for Alpaca Reflection prompts.\n\n\n\nprompt_tokenizers.DatasetWrappingStrategy()\nAbstract class for wrapping datasets for Chat Messages\n\n\n\nprompt_tokenizers.GPTeacherPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for GPTeacher prompts.\n\n\n\nprompt_tokenizers.InstructionPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for instruction-based prompts.\n\n\n\nprompt_tokenizers.InvalidDataException()\nException raised when the data is invalid\n\n\n\nprompt_tokenizers.JeopardyPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for Jeopardy prompts.\n\n\n\nprompt_tokenizers.NomicGPT4AllPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for NomicGPT4All prompts.\n\n\n\nprompt_tokenizers.OpenAssistantPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for OpenAssistant prompts.\n\n\n\nprompt_tokenizers.PromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nAbstract class for tokenizing strategies\n\n\n\n\n\nName\nDescription\n\n\n\n\nsupports_multiprocessing\nWhether this tokenizing strategy supports multiprocessing.\n\n\n\n\n\n\n\nprompt_tokenizers.ReflectionPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for Reflection prompts.\n\n\n\nprompt_tokenizers.SummarizeTLDRPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for SummarizeTLDR prompts."
|
||||
"text": "Name\nDescription\n\n\n\n\nAlpacaMultipleChoicePromptTokenizingStrategy\nTokenizing strategy for Alpaca Multiple Choice prompts.\n\n\nAlpacaPromptTokenizingStrategy\nTokenizing strategy for Alpaca prompts.\n\n\nAlpacaReflectionPTStrategy\nTokenizing strategy for Alpaca Reflection prompts.\n\n\nDatasetWrappingStrategy\nAbstract class for wrapping datasets for Chat Messages\n\n\nGPTeacherPromptTokenizingStrategy\nTokenizing strategy for GPTeacher prompts.\n\n\nInstructionPromptTokenizingStrategy\nTokenizing strategy for instruction-based prompts.\n\n\nInvalidDataException\nException raised when the data is invalid\n\n\nJeopardyPromptTokenizingStrategy\nTokenizing strategy for Jeopardy prompts.\n\n\nNomicGPT4AllPromptTokenizingStrategy\nTokenizing strategy for NomicGPT4All prompts.\n\n\nOpenAssistantPromptTokenizingStrategy\nTokenizing strategy for OpenAssistant prompts.\n\n\nPromptTokenizingStrategy\nAbstract class for tokenizing strategies\n\n\nReflectionPromptTokenizingStrategy\nTokenizing strategy for Reflection prompts.\n\n\nSummarizeTLDRPromptTokenizingStrategy\nTokenizing strategy for SummarizeTLDR prompts.\n\n\n\n\n\nprompt_tokenizers.AlpacaMultipleChoicePromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for Alpaca Multiple Choice prompts.\n\n\n\nprompt_tokenizers.AlpacaPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for Alpaca prompts.\n\n\n\nprompt_tokenizers.AlpacaReflectionPTStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for Alpaca Reflection prompts.\n\n\n\nprompt_tokenizers.DatasetWrappingStrategy()\nAbstract class for wrapping datasets for Chat Messages\n\n\n\nprompt_tokenizers.GPTeacherPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for GPTeacher prompts.\n\n\n\nprompt_tokenizers.InstructionPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for instruction-based prompts.\n\n\n\nprompt_tokenizers.InvalidDataException()\nException raised when the data is invalid\n\n\n\nprompt_tokenizers.JeopardyPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for Jeopardy prompts.\n\n\n\nprompt_tokenizers.NomicGPT4AllPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for NomicGPT4All prompts.\n\n\n\nprompt_tokenizers.OpenAssistantPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for OpenAssistant prompts.\n\n\n\nprompt_tokenizers.PromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nAbstract class for tokenizing strategies\n\n\n\nprompt_tokenizers.ReflectionPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for Reflection prompts.\n\n\n\nprompt_tokenizers.SummarizeTLDRPromptTokenizingStrategy(\n prompter,\n tokenizer,\n train_on_inputs=False,\n sequence_len=2048,\n)\nTokenizing strategy for SummarizeTLDR prompts."
|
||||
},
|
||||
{
|
||||
"objectID": "docs/api/prompt_tokenizers.html#functions",
|
||||
@@ -3064,7 +3064,7 @@
|
||||
"href": "docs/custom_integrations.html#cut-cross-entropy",
|
||||
"title": "Custom Integrations",
|
||||
"section": "Cut Cross Entropy",
|
||||
"text": "Cut Cross Entropy\nCut Cross Entropy (CCE) reduces VRAM usage through optimization on the cross-entropy operation during loss calculation.\nSee https://github.com/apple/ml-cross-entropy\n\nRequirements\n\nPyTorch 2.4.0 or higher\n\n\n\nInstallation\nRun the following command to install cut_cross_entropy[transformers] if you don’t have it already.\n\nIf you are in dev environment\n\npython scripts/cutcrossentropy_install.py | sh\n\nIf you are installing from pip\n\npip3 uninstall -y cut-cross-entropy && pip3 install \"cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@622068a\"\n\n\nUsage\nplugins:\n - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin\n\n\nSupported Models\n\ncohere\ncohere2\ngemma\ngemma2\ngemma3\ngemma3_text\nglm\nglm4\nllama\nllama4\nllama4_text\nmistral\nmistral3\nmllama\nphi\nphi3\nphi4_multimodal\nqwen2\nqwen2_vl\nqwen2_moe\nqwen2_5_vl\nqwen3\nqwen3_moe\n\n\n\nCitation\n@article{wijmans2024cut,\n author = {Erik Wijmans and\n Brody Huval and\n Alexander Hertzberg and\n Vladlen Koltun and\n Philipp Kr\\\"ahenb\\\"uhl},\n title = {Cut Your Losses in Large-Vocabulary Language Models},\n journal = {arXiv},\n year = {2024},\n url = {https://arxiv.org/abs/2411.09009},\n}\nPlease see reference here",
|
||||
"text": "Cut Cross Entropy\nCut Cross Entropy (CCE) reduces VRAM usage through optimization on the cross-entropy operation during loss calculation.\nSee https://github.com/apple/ml-cross-entropy\n\nRequirements\n\nPyTorch 2.4.0 or higher\n\n\n\nInstallation\nRun the following command to install cut_cross_entropy[transformers] if you don’t have it already.\n\nIf you are in dev environment\n\npython scripts/cutcrossentropy_install.py | sh\n\nIf you are installing from pip\n\npip3 uninstall -y cut-cross-entropy && pip3 install \"cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@865b899\"\n\n\nUsage\nplugins:\n - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin\n\n\nSupported Models\n\ncohere\ncohere2\ngemma\ngemma2\ngemma3\ngemma3_text\nglm\nglm4\nllama\nllama4\nllama4_text\nmistral\nmistral3\nmllama\nphi\nphi3\nphi4_multimodal\nqwen2\nqwen2_vl\nqwen2_moe\nqwen2_5_vl\nqwen3\nqwen3_moe\n\n\n\nCitation\n@article{wijmans2024cut,\n author = {Erik Wijmans and\n Brody Huval and\n Alexander Hertzberg and\n Vladlen Koltun and\n Philipp Kr\\\"ahenb\\\"uhl},\n title = {Cut Your Losses in Large-Vocabulary Language Models},\n journal = {arXiv},\n year = {2024},\n url = {https://arxiv.org/abs/2411.09009},\n}\nPlease see reference here",
|
||||
"crumbs": [
|
||||
"Advanced Features",
|
||||
"Custom Integrations"
|
||||
|
||||
378
sitemap.xml
378
sitemap.xml
@@ -2,758 +2,758 @@
|
||||
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/unsloth.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.508Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.221Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/dataset-formats/conversation.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.502Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.215Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/dataset-formats/stepwise_supervised.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.502Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.215Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/dataset-formats/tokenized.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.503Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.215Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/mac.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.507Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.220Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/nccl.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.507Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.220Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/multi-node.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.507Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.220Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/docker.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.503Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.216Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/lr_groups.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.507Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.220Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/inference.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.507Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.220Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/cli.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.502Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.215Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/config-reference.html</loc>
|
||||
<lastmod>2025-07-07T21:08:49.663Z</lastmod>
|
||||
<lastmod>2025-07-08T20:32:09.686Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/multi-gpu.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.507Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.220Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/debugging.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.503Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.216Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/multimodal.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.507Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.220Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/cli.sweeps.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.131Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.049Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.dpo.llama3.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.457Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.397Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.schedulers.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.840Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.787Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/monkeypatch.llama_attn_hijack_xformers.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.655Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.601Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/cli.cloud.modal_.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.180Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.098Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/kernels.geglu.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.609Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.555Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.trainers.utils.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.252Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.176Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.datasets.chat.html</loc>
|
||||
<lastmod>2025-07-07T21:08:35.983Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.892Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.schemas.peft.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.954Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.905Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/monkeypatch.btlm_attn_hijack_flash.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.718Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.662Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.chat_template.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.360Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.287Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.kto.user_defined.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.490Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.431Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/cli.cloud.base.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.173Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.091Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/kernels.swiglu.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.619Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.565Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.stepwise_supervised.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.424Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.357Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.bradley_terry.llama3.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.514Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.455Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.completion.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.414Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.345Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/kernels.utils.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.628Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.574Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/common.datasets.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.165Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.120Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.schemas.datasets.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.945Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.895Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.builders.rl.html</loc>
|
||||
<lastmod>2025-07-07T21:08:35.938Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.842Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/evaluate.html</loc>
|
||||
<lastmod>2025-07-07T21:08:35.843Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.738Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/kernels.quantize.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.626Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.572Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/monkeypatch.llama_attn_hijack_flash.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.654Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.599Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.trainers.mixins.rng_state_loader.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.295Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.222Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/integrations.base.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.125Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.079Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/cli.merge_lora.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.105Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.023Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/cli.merge_sharded_fsdp_weights.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.117Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.035Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/monkeypatch.transformers_fa_utils.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.734Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.679Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.llama2_chat.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.408Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.339Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.collators.mm_chat.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.195Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.149Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.data.sft.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.880Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.829Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.alpaca_instruct.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.375Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.302Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/integrations.liger.args.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.141Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.094Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/monkeypatch.mistral_attn_hijack_flash.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.669Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.615Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/cli.vllm_serve.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.170Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.088Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/monkeypatch.utils.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.716Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.661Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/loaders.patch_manager.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.285Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.211Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.schemas.integrations.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.975Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.926Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.callbacks.perplexity.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.242Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.197Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/cli.utils.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.163Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.081Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.schemas.config.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.915Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.866Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.input_output.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.420Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.351Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.distributed.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.861Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.808Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/monkeypatch.gradient_checkpointing.offload_disk.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.768Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.715Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/monkeypatch.trainer_fsdp_optim.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.728Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.673Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.builders.base.html</loc>
|
||||
<lastmod>2025-07-07T21:08:35.925Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.830Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.trainers.trl.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.211Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.134Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/cli.evaluate.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.038Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.954Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.optimizers.adopt.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.872Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.821Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.callbacks.qat.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.261Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.216Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.trainers.dpo.trainer.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.228Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.150Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.chat.format.shared.html</loc>
|
||||
<lastmod>2025-07-07T21:08:35.978Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.887Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/monkeypatch.relora.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.678Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.623Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/cli.config.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.082Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.998Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/cli.preprocess.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.125Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.043Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.trainers.base.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.195Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.113Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/convert.html</loc>
|
||||
<lastmod>2025-07-07T21:08:35.867Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.763Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.pygmalion.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.441Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.381Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.schemas.trl.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.957Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.908Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/cli.args.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.058Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.974Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.dpo.chat_template.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.447Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.387Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/loaders.constants.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.287Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.213Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/logging_config.html</loc>
|
||||
<lastmod>2025-07-07T21:08:35.919Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.823Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/cli.inference.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.096Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.014Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.ctx_managers.sequence_parallel.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.326Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.252Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/integrations.spectrum.args.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.147Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.101Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.schemas.training.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.927Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.878Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.orcamini.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.435Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.375Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.freeze.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.798Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.745Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/loaders.tokenizer.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.270Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.194Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.bench.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.790Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.737Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.quantization.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.901Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.850Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/batch_vs_grad.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.502Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.215Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/input_output.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.507Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.220Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/sequence_parallelism.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.508Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.221Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/reward_modelling.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.508Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.220Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/index.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.525Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.240Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/src/axolotl/integrations/LICENSE.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.529Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.244Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/FAQS.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.500Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.213Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/src/axolotl/integrations/cut_cross_entropy/ACKNOWLEDGEMENTS.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.529Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.244Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/TODO.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.500Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.213Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/examples/colab-notebooks/colab-axolotl-example.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.510Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.223Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/torchao.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.508Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.221Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/ray-integration.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.508Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.220Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/quantize.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.507Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.220Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/qat.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.507Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.220Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.lora.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.781Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.728Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.alpaca_w_system.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.387Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.318Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/monkeypatch.stablelm_attn_hijack_flash.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.725Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.669Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.collators.core.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.168Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.122Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.metharme.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.431Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.369Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.callbacks.profiler.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.245Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.201Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.data.pretraining.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.873Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.822Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.callbacks.lisa.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.247Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.202Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.trainer.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.816Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.763Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/integrations.cut_cross_entropy.args.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.129Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.083Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.schemas.model.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.922Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.873Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/monkeypatch.data.batch_dataset_fetcher.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.737Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.682Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.dpo.zephyr.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.469Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.410Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/datasets.html</loc>
|
||||
<lastmod>2025-07-07T21:08:35.854Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.749Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.schemas.enums.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.985Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.936Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/integrations.kd.trainer.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.137Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.091Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/monkeypatch.lora_kernels.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.708Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.653Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.collators.batching.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.187Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.141Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.trainers.grpo.sampler.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.251Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.175Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.base.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.327Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.254Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/monkeypatch.multipack.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.671Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.617Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.orpo.chat_template.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.510Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.451Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.dpo.passthrough.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.472Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.413Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.chat.format.chatml.html</loc>
|
||||
<lastmod>2025-07-07T21:08:35.975Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.884Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.trainers.mixins.scheduler.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.302Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.229Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.model_shard_quant.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.787Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.733Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.kto.chatml.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.488Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.429Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.tokenization.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.775Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.722Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/loaders.model.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.262Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.186Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.callbacks.mlflow_.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.250Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.206Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.trainers.grpo.trainer.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.239Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.161Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/cli.main.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.022Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.937Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.callbacks.comet_.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.254Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.210Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.chat_templates.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.776Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.723Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.schemas.utils.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.991Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.942Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/common.architectures.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.149Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.102Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/monkeypatch.llama_expand_mask.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.679Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.625Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.alpaca_chat.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.374Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.301Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.samplers.multipack.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.236Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.191Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/integrations.grokfast.optimizer.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.130Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.084Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.dpo.chatml.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.467Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.408Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/monkeypatch.mixtral.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.739Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.683Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/train.html</loc>
|
||||
<lastmod>2025-07-07T21:08:35.833Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.727Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/monkeypatch.llama_patch_multipack.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.719Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.664Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/index.html</loc>
|
||||
<lastmod>2025-07-07T21:08:35.771Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.656Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/loaders.adapter.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.277Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.201Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.schemas.multimodal.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.963Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.914Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/kernels.lora.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.598Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.544Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.kto.llama3.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.480Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.421Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/cli.checks.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.065Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.980Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/cli.quantize.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.185Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.103Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/integrations.lm_eval.args.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.144Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.098Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.chat.messages.html</loc>
|
||||
<lastmod>2025-07-07T21:08:35.974Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.883Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.builders.causal.html</loc>
|
||||
<lastmod>2025-07-07T21:08:35.930Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.835Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.trainers.relora.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.221Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.144Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/models.mamba.modeling_mamba.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.166Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.121Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/monkeypatch.gradient_checkpointing.offload_cpu.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.742Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.687Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.trainers.mamba.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.217Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.139Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.datasets.transforms.chat_builder.html</loc>
|
||||
<lastmod>2025-07-07T21:08:35.991Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.900Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/loaders.processor.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.272Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.196Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.chat.format.llama3x.html</loc>
|
||||
<lastmod>2025-07-07T21:08:35.976Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.886Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.messages.chat.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.445Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.386Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/cli.train.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.030Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.945Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.trainers.mixins.optimizer.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.292Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.219Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.collators.mamba.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.190Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.145Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/monkeypatch.unsloth_.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.736Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.680Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/utils.dict.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.864Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.813Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.user_defined.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.395Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.326Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/core.training_args.html</loc>
|
||||
<lastmod>2025-07-07T21:08:35.951Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.855Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_strategies.dpo.user_defined.html</loc>
|
||||
<lastmod>2025-07-07T21:08:36.471Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:56.411Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/prompt_tokenizers.html</loc>
|
||||
<lastmod>2025-07-07T21:08:35.910Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:55.809Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/api/common.const.html</loc>
|
||||
<lastmod>2025-07-07T21:08:37.150Z</lastmod>
|
||||
<lastmod>2025-07-08T20:31:57.104Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/fsdp_qlora.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.503Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.216Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/custom_integrations.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.502Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.215Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/getting-started.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.503Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.216Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/faq.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.503Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.216Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/lora_optims.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.507Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.220Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/rlhf.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.508Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.220Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/amd_hpc.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.502Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.215Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/installation.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.507Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.220Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/multipack.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.507Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.220Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/dataset_preprocessing.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.503Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.216Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/dataset_loading.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.503Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.216Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/dataset-formats/inst_tune.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.502Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.215Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/dataset-formats/template_free.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.503Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.215Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/dataset-formats/index.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.502Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.215Z</lastmod>
|
||||
</url>
|
||||
<url>
|
||||
<loc>https://docs.axolotl.ai/docs/dataset-formats/pretraining.html</loc>
|
||||
<lastmod>2025-07-07T21:05:27.502Z</lastmod>
|
||||
<lastmod>2025-07-08T20:28:26.215Z</lastmod>
|
||||
</url>
|
||||
</urlset>
|
||||
|
||||
Reference in New Issue
Block a user