classLlamaPreTrainedModel(PreTrainedModel):config_class=LlamaConfigbase_model_prefix="model"supports_gradient_checkpointing=True_no_split_modules=["LlamaDecoderLayer"]_skip_keys_device_placement="past_key_values"_supports_flash_attn_2=Truedef_init_weights(self,module):std=self.config.initializer_rangei...
base_model_prefix="model"supports_gradient_checkpointing=True _no_split_modules=["LlamaDecoderLayer"]_skip_keys_device_placement="past_key_values"_supports_flash_attn_2=True def_init_weights(self,module):std=self.config.initializer_rangeifisinstance(module,nn.Linear):module.weight.data.normal_(me...
classLlamaPreTrainedModel(PreTrainedModel):config_class = LlamaConfigbase_model_prefix ="model"supports_gradient_checkpointing =True_no_split_modules = ["LlamaDecoderLayer"]_skip_keys_device_placement ="past_key_values"_supports_flash_attn_2 =Truedef_init_weights(self, module):std = self.config....
supports_gradient_checkpointing 表示该模型是否支持梯度检查点技术(Gradient Checkpointing)。Baichuan 开发的模型支持梯度检查点技术,因此将其设置为 True。 _no_split_modules 列表表示需要忽略哪些模块进行分割,_keys_to_ignore_on_load_unexpected 列表表示在加载模型时应该忽略哪些键值。这些列表是为了兼容一些特定的 ...
supports_gradient_checkpointing = True _no_split_modules = ["LlamaDecoderLayer"] _skip_keys_device_placement = "past_key_values" _supports_flash_attn_2 = True def _init_weights(self, module): std = self.config.initializer_range if isinstance(module, nn.Linear): ...
_cache=True`is incompatible with gradient checkpointing. Setting`use_cache=False`...`use_cache=True`is incompatible with gradient checkpointing. Setting`use_cache=False`... Traceback (most recent call last): File"/home/username/.pyenv/versions/3.8.18/lib/python3.8/runpy.py", line 194,in_...
from transformers import AutoModelForCausalLM, TraininArgumentsmodel = AutoModelForCausalLM.from_pretrained( model_id, use_cache=False, # False if gradient_checkpointing=True **default_args)model.gradient_checkpointing_enable()LoRA LoRA是微软团队开发的一种技术，用于加速大型语言模型的微调。他...
使用gradient checkpointing DRaFT-K：不会从纯噪音x_T开始保存计算图，而是保存从中间某个x_K到x_0...
zhouenxianmentioned this issueNov 10, 2023 Q-LoRa微调Qwen-14B-Chat-Int4报错:ValueError: Target module QuantLinear() is not supported.或者TypeError: QWenPreTrainedModel._set_gradient_checkpointing() got an unexpected keyword argument 'enable'QwenLM/Qwen#610 Closed 2 tasks...
supports_gradient_checkpointing = True _no_split_modules = ["DecoderLayer"] _keys_to_ignore_on_load_unexpected = [r"decoder\.version"] def _init_weights(self, module): std = self.config.initializer_range if isinstance(module, nn.Linear): module.weight.data.normal_(mean=0.0, std...