SYMBOL INDEX (48 symbols across 2 files)

FILE: peft_utils.py
  class GPTQLoraConfig (line 22) | class GPTQLoraConfig(LoraConfig):
  class GPTQLoraLinear (line 27) | class GPTQLoraLinear(torch.nn.Linear, LoraLayer):
    method __init__ (line 28) | def __init__(
    method reset_lora_parameters (line 56) | def reset_lora_parameters(self, adapter_name):
    method merge (line 61) | def merge(self):
    method unmerge (line 64) | def unmerge(self):
    method forward (line 67) | def forward(self, x: torch.Tensor):
  class GPTQLoraModel (line 94) | class GPTQLoraModel(LoraModel):
    method _find_and_replace (line 95) | def _find_and_replace(self, adapter_name):
    method _replace_module (line 155) | def _replace_module(self, parent_module, child_name, new_module, old_m...
    method merge_adapter (line 172) | def merge_adapter(self):
    method unmerge_adapter (line 175) | def unmerge_adapter(self):
    method merge_and_unload (line 178) | def merge_and_unload(self):
  class GPTQAdaLoraConfig (line 182) | class GPTQAdaLoraConfig(AdaLoraConfig):
  class GPTQSVDLinear (line 187) | class GPTQSVDLinear(torch.nn.Linear, AdaLoraLayer):
    method __init__ (line 188) | def __init__(
    method merge (line 215) | def merge(self):
    method unmerge (line 218) | def unmerge(self):
    method forward (line 221) | def forward(self, x: torch.Tensor):
  class GPTQAdaLoraModel (line 244) | class GPTQAdaLoraModel(AdaLoraModel):
    method _find_and_replace (line 245) | def _find_and_replace(self, adapter_name):
    method _replace_module (line 297) | def _replace_module(self, parent_module, child_name, new_module, old_m...
    method merge_adapter (line 305) | def merge_adapter(self):
    method unmerge_adapter (line 308) | def unmerge_adapter(self):
    method merge_and_unload (line 311) | def merge_and_unload(self):
  function find_all_linear_names (line 315) | def find_all_linear_names(model: BaseGPTQForCausalLM, ignore: Optional[L...
  function hijack_peft_mappings (line 331) | def hijack_peft_mappings():
  function get_gptq_peft_model (line 352) | def get_gptq_peft_model(

FILE: qalora.py
  function prepare_model_for_int8_training (line 52) | def prepare_model_for_int8_training(model, use_gradient_checkpointing=Tr...
  class ModelArguments (line 88) | class ModelArguments:
  class DataArguments (line 98) | class DataArguments:
  class TrainingArguments (line 130) | class TrainingArguments(transformers.Seq2SeqTrainingArguments):
  class GenerationArguments (line 206) | class GenerationArguments:
  function find_all_linear_names (line 237) | def find_all_linear_names(args, model):
  class SavePeftModelCallback (line 251) | class SavePeftModelCallback(transformers.TrainerCallback):
    method save_model (line 252) | def save_model(self, args, state, kwargs):
    method on_save (line 266) | def on_save(self, args, state, control, **kwargs):
    method on_train_end (line 270) | def on_train_end(self, args, state, control, **kwargs):
  function get_accelerate_model (line 278) | def get_accelerate_model(args, checkpoint_dir):
  function print_trainable_parameters (line 352) | def print_trainable_parameters(args, model):
  function smart_tokenizer_and_embedding_resize (line 368) | def smart_tokenizer_and_embedding_resize(
  class DataCollatorForCausalLM (line 391) | class DataCollatorForCausalLM(object):
    method __call__ (line 398) | def __call__(self, instances: Sequence[Dict]) -> Dict[str, torch.Tensor]:
  function extract_unnatural_instructions_data (line 442) | def extract_unnatural_instructions_data(examples, extract_reformulations...
  function extract_alpaca_dataset (line 472) | def extract_alpaca_dataset(example):
  function make_data_module (line 479) | def make_data_module(tokenizer: transformers.PreTrainedTokenizer, args) ...
  function get_last_checkpoint (line 576) | def get_last_checkpoint(checkpoint_dir):
  function train (line 590) | def train():