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⨍ Functions 589◇ Types & classes 173

(self, filenames, n_chunks, block_size, seed, shuffle, wrap)

lit_gpt/packed_dataset.py:180

(self, datasets, seed, weights=None)

lit_gpt/packed_dataset.py:284

(self, datasets, seed, weights)

lit_gpt/packed_dataset.py:297

( self, hidden_size, prenorm=False, p=0.0, eps=1e-5, residual_

lit_gpt/rmsnorm.py:766

(self, size: int, dim: int = -1, eps: float = 1e-5)

lit_gpt/rmsnorm.py:807

Store LoRA specific attributes in a class. Args: r: rank of the weight update matrices. To make sense of using LoRA the rank shou

lit_gpt/lora.py:63

LoRA wrapper around linear class. This class has three weight matrices: 1. Pretrained weights are stored as `self.linear.weight`

lit_gpt/lora.py:89

LoRA wrapper around linear class that is used for calculation of q, k and v matrices. This class has three weight matrices: 1. Pr

lit_gpt/lora.py:159

(self, config: Config)

lit_gpt/lora.py:601

Causal self-attention with calculating qkv matrices with a single matrix* and Low Ranking Adaptation for parameter-efficient fine-tuning.

lit_gpt/lora.py:613

(self, config: Config)

lit_gpt/lora.py:664

(self, config: Config)

lit_gpt/lora.py:698

(self, in_features: int, out_features: int, **kwargs)

lit_gpt/adapter_v2.py:50

(self, config: Config, block_idx: int)

lit_gpt/adapter_v2.py:117

Causal self-attention with calculating qkv matrices with a single matrix* and Low Ranking Adaptation for parameter-efficient fine-tuning.

lit_gpt/adapter_v2.py:130

(self, config: Config)

lit_gpt/adapter_v2.py:280

(self, config: Config)

lit_gpt/adapter_v2.py:304

(self, config: Config)

lit_gpt/model.py:246

(self, config: Config)

lit_gpt/model.py:284

(self, config: Config)

lit_gpt/model.py:406

(self, config: Config)

lit_gpt/model.py:418

(self, prompt_style='chatml', num_workers: Optional[int] = None)

lit_gpt/datamodules/llama_instruct.py:51

(self, prompt_style='chatml', num_workers: Optional[int] = None)

lit_gpt/datamodules/ultrachat_200k.py:60

(self, prompt_style='chatml', num_workers: Optional[int] = None)

lit_gpt/datamodules/wizardlm_evol_instruct_v2.py:58

( self, data: List[List[MultiTurnDataRow]], tokenizer: Tokenizer, prompt_style

lit_gpt/datamodules/sft_multiturn_dataset_base.py:58

(self, prompt_style='chatml', num_workers: Optional[int] = None)

lit_gpt/datamodules/capybara.py:60

( self, prompt_style='chatml', data_files_path='data/slim_orca_idontknow/slim-orca-ido

lit_gpt/datamodules/slim_orca_idontknow.py:56

(self, prompt_style='chatml', num_workers: Optional[int] = None)

lit_gpt/datamodules/slim_orca_dedup.py:56

( self, data: List[Dict[str, str]], tokenizer: Tokenizer, prompt_style: Union[

lit_gpt/datamodules/sft_dataset_base.py:28

(self, prompt_style='chatml', num_workers: Optional[int] = None)

lit_gpt/datamodules/deita.py:61

(self, prompt_style='chatml', num_workers: Optional[int] = None)

lit_gpt/datamodules/meta_math_qa.py:52

(self, level=logging.NOTSET)

prepare_dataset/preparer.py:45

(self, seed: int = None)

dpo/adapters/nectar.py:28

(self, score_distance: float = SCORE_DISTANCE)

dpo/adapters/ultrafeedback_binarized.py:33

(self, fname_tokenizer: Path, fname_added_tokens: Path | None)

tokenizer/convert/convert.py:338

(self, fname_tokenizer: Path, fname_added_tokens: Path | None)

tokenizer/convert/convert.py:396

(self, ndarray: NDArray)

tokenizer/convert/convert.py:599

(self, fp: IO[bytes], data_base_path: str, zip_file: zipfile.ZipFile)

tokenizer/convert/convert.py:781

(self, fname_out: Path, endianess:gguf.GGUFEndian = gguf.GGUFEndian.LITTLE)

tokenizer/convert/convert.py:970

(self, path: Path)

tokenizer/convert/convert.py:1290

(self, ratio: float)

util/splitter.py:12

lit_gpt/utils.py:440

lit_gpt/packed_dataset.py:61

lit_gpt/packed_dataset.py:264

lit_gpt/packed_dataset.py:292

lit_gpt/datamodules/sft_multiturn_dataset_base.py:80

lit_gpt/datamodules/sft_dataset_base.py:50

lit_gpt/utils.py:430

lit_gpt/packed_dataset.py:267

lit_gpt/packed_dataset.py:302

Method__post_init__

lit_gpt/config_base.py:55

Method__reduce_ex__

(self, protocol_version)

lit_gpt/utils_old.py:291

Method__reduce_ex__

(self, protocol_version)

lit_gpt/utils.py:136

lit_gpt/utils_old.py:190

lit_gpt/datamodules/base.py:49

tokenizer/convert/convert.py:391

tokenizer/convert/convert.py:454

Method__torch_function__

(cls, func, types, args=(), kwargs=None)

lit_gpt/utils_old.py:156

Function_filter_rows

(row: UltraFeedbackRow)

dpo/adapters/ultrafeedback_binarized.py:133

Function_format_row

(row: DistilabelCapybaraDPORow)

dpo/adapters/distilabel_capybara_dpo.py:71

Function_format_row

(row: OpenHermesRow)

dpo/adapters/open_hermes_preferences.py:71

Function_format_row

(row: UltraFeedbackRow)

dpo/adapters/ultrafeedback_binarized.py:95

Function_format_rows

(row: NectarRow)

dpo/adapters/nectar.py:68

Method_init_weights

Meant to be used with `gpt.apply(gpt._init_weights)`. Unused method left for completeness.

lit_gpt/adapter.py:118

Method_init_weights

Meant to be used with `gpt.apply(gpt._init_weights)`. Unused method left for completeness.

lit_gpt/lora.py:585

Method_init_weights

Meant to be used with `gpt.apply(gpt._init_weights)`. Unused method left for completeness.

lit_gpt/adapter_v2.py:96

Method_init_weights

Meant to be used with `gpt.apply(gpt._init_weights)`.

lit_gpt/model.py:86

Method_load_from_state_dict

For compatibility with older checkpoints.

lit_gpt/adapter.py:269

Method_load_from_state_dict

For compatibility with base checkpoints.

lit_gpt/lora.py:649

Method_load_from_state_dict

For compatibility with base checkpoints.

lit_gpt/lora.py:683

Method_load_from_state_dict

For compatibility with base checkpoints.

lit_gpt/lora.py:725

Method_load_from_state_dict

For compatibility with base checkpoints.

lit_gpt/adapter_v2.py:260

Method_load_from_state_dict

For compatibility with base checkpoints.

lit_gpt/adapter_v2.py:289

Method_load_from_state_dict

For compatibility with base checkpoints.

lit_gpt/adapter_v2.py:316

Function_sft_collate_fn

( samples: List[SFTDatasetItem], max_seq_length: int, pad_id: int, ignore_index: int, eos_

lit_gpt/datamodules/base.py:90

Methodall_tokens

tokenizer/convert/convert.py:387

Methodall_tokens

tokenizer/convert/convert.py:450

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:21

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:37

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:71

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:95

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:104

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:123

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:128

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:142

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:161

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:178

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:187

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:222

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:236

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:246

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:251

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:256

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:261

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:270

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:285

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:290

(self, prompt: str, **kwargs: str)

lit_gpt/prompts.py:301

(self, data_type: DataType)

tokenizer/convert/convert.py:604

(self, data_type: DataType)

tokenizer/convert/convert.py:658

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