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Update docs/.gitignore to exclude auto-generated API documentation files

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Dan Saunders
2025-03-14 14:11:23 -04:00
parent a5e37f183c
commit fc1f985296
5 changed files with 3 additions and 167 deletions
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docs/.gitignore vendored
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/.quarto/ /.quarto/
_site/ _site/
/api/*.qmd
/api/*.html
site_libs/

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docs/api/datasets.qmd
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# datasets { #axolotl.datasets }
`datasets`
Module containing Dataset functionality
## Classes
| Name | Description |
| --- | --- |
| [ConstantLengthDataset](#axolotl.datasets.ConstantLengthDataset) | Iterable dataset that returns constant length chunks of tokens from stream of text files. |
| [TokenizedPromptDataset](#axolotl.datasets.TokenizedPromptDataset) | Dataset that returns tokenized prompts from a stream of text files. |
### ConstantLengthDataset { #axolotl.datasets.ConstantLengthDataset }
```python
datasets.ConstantLengthDataset(self, tokenizer, datasets, seq_length=2048)
```
Iterable dataset that returns constant length chunks of tokens from stream of text files.
Args:
tokenizer (Tokenizer): The processor used for processing the data.
dataset (dataset.Dataset): Dataset with text files.
seq_length (int): Length of token sequences to return.
### TokenizedPromptDataset { #axolotl.datasets.TokenizedPromptDataset }
```python
datasets.TokenizedPromptDataset(
self,
prompt_tokenizer,
dataset,
process_count=None,
keep_in_memory=False,
**kwargs,
)
```
Dataset that returns tokenized prompts from a stream of text files.
Args:
prompt_tokenizer (PromptTokenizingStrategy): The prompt tokenizing method for processing the data.
dataset (dataset.Dataset): Dataset with text files.
process_count (int): Number of processes to use for tokenizing.
keep_in_memory (bool): Whether to keep the tokenized dataset in memory.

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docs/api/prompt_strategies.base.qmd
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# prompt_strategies.base { #axolotl.prompt_strategies.base }
`prompt_strategies.base`
module for base dataset transform strategies

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docs/api/prompt_strategies.chat_template.qmd
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# prompt_strategies.chat_template { #axolotl.prompt_strategies.chat_template }
`prompt_strategies.chat_template`
HF Chat Templates prompt strategy
## Classes
| Name | Description |
| --- | --- |
| [ChatTemplatePrompter](#axolotl.prompt_strategies.chat_template.ChatTemplatePrompter) | Prompter for HF chat templates |
| [ChatTemplateStrategy](#axolotl.prompt_strategies.chat_template.ChatTemplateStrategy) | Tokenizing strategy for instruction-based prompts. |
| [StrategyLoader](#axolotl.prompt_strategies.chat_template.StrategyLoader) | Load chat template strategy based on configuration. |
### ChatTemplatePrompter { #axolotl.prompt_strategies.chat_template.ChatTemplatePrompter }
```python
prompt_strategies.chat_template.ChatTemplatePrompter(
self,
tokenizer,
chat_template,
processor=None,
max_length=2048,
message_property_mappings=None,
message_field_training=None,
message_field_training_detail=None,
field_messages='messages',
roles=None,
drop_system_message=False,
)
```
Prompter for HF chat templates
### ChatTemplateStrategy { #axolotl.prompt_strategies.chat_template.ChatTemplateStrategy }
```python
prompt_strategies.chat_template.ChatTemplateStrategy(
self,
prompter,
tokenizer,
train_on_inputs,
sequence_len,
roles_to_train=None,
train_on_eos=None,
)
```
Tokenizing strategy for instruction-based prompts.
#### Methods
| Name | Description |
| --- | --- |
| [find_turn](#axolotl.prompt_strategies.chat_template.ChatTemplateStrategy.find_turn) | Locate the starting and ending indices of the specified turn in a conversation. |
| [tokenize_prompt](#axolotl.prompt_strategies.chat_template.ChatTemplateStrategy.tokenize_prompt) | Public method that can handle either a single prompt or a batch of prompts. |
##### find_turn { #axolotl.prompt_strategies.chat_template.ChatTemplateStrategy.find_turn }
```python
prompt_strategies.chat_template.ChatTemplateStrategy.find_turn(turns, turn_idx)
```
Locate the starting and ending indices of the specified turn in a conversation.
##### tokenize_prompt { #axolotl.prompt_strategies.chat_template.ChatTemplateStrategy.tokenize_prompt }
```python
prompt_strategies.chat_template.ChatTemplateStrategy.tokenize_prompt(prompt)
```
Public method that can handle either a single prompt or a batch of prompts.
### StrategyLoader { #axolotl.prompt_strategies.chat_template.StrategyLoader }
```python
prompt_strategies.chat_template.StrategyLoader()
```
Load chat template strategy based on configuration.

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docs/api/utils.tokenization.qmd
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# utils.tokenization { #axolotl.utils.tokenization }
`utils.tokenization`
Module for tokenization utilities
## Functions
| Name | Description |
| --- | --- |
| [color_token_for_rl_debug](#axolotl.utils.tokenization.color_token_for_rl_debug) | Helper function to color tokens based on their type. |
| [process_tokens_for_rl_debug](#axolotl.utils.tokenization.process_tokens_for_rl_debug) | Helper function to process and color tokens. |
### color_token_for_rl_debug { #axolotl.utils.tokenization.color_token_for_rl_debug }
```python
utils.tokenization.color_token_for_rl_debug(
decoded_token,
encoded_token,
color,
text_only,
)
```
Helper function to color tokens based on their type.
### process_tokens_for_rl_debug { #axolotl.utils.tokenization.process_tokens_for_rl_debug }
```python
utils.tokenization.process_tokens_for_rl_debug(
tokens,
color,
tokenizer,
text_only,
)
```
Helper function to process and color tokens.