然后就是使用AutoModelForCausalLM.from_pretrained加载基本模型,在第31行设置了model.config。use_cache为False,当启用缓存时可以减少变量。禁用缓存则在执行计算的顺序方面引入了一定程度的随机性,这在微调时非常有用。 在第32行设置了model.config.pretraining_tp = 1这里的tp代表张量并行性,根据这里的Llama 2的提...
quantization_config=bnb_config, use_cache=False, device_map="auto")model.config.pretraining_tp = 1# 通过对比doc中的字符串，验证模型是在使用flash attentionif use_flash_attention:from utils.llama_patch import forward assert model.model.layers[].self_attn.forward.__doc__ == forward.__doc_...
compute_dtype=torch.bfloat16,)base_model = AutoModelForCausalLM.from_pretrained( script_args.model_name, # "meta-llama/Llama-2-7b-hf" quantization_config=bnb_config, device_map={"": }, trust_remote_code=True, use_auth_token=True,)base_model.config.use_cache = False# ...
4bit=use_4bit, bnb_4bit_use_double_quant=use_double_nested_quant, bnb_4bit_quant_type=bnb_4bit_quant_type, bnb_4bit_compute_dtype=compute_dtype)# Load model and tokenizermodel = AutoModelForCausalLM.from_pretrained(model_id, quantization_config=bnb_config, use_cache = False...
model = AutoModelForCausalLM.from_pretrained(model_id,quantization_config=bnb_config, use_cache =False,device_map=device_map) model.config.pretraining_tp = 1 # Load the tokenizer tokenizer = AutoTokenizer.from_pretrained(model_id,trust_remote_code=True) ...
其他设置:包括是否使用缓存量化(use_cache_quantization)、动态NTK(use_dynamic_ntk)、以及序列长度限制等。 前向传播 (forward方法) 输入处理:检查并准备输入,包括input_ids、inputs_embeds、attention_mask等,确保它们适合模型处理。 缓存与历史状态:处理past_key_values,用于自回归生成时的缓存机制。
bnb_4bit_use_double_quant=use_double_nested_quant, bnb_4bit_quant_type=bnb_4bit_quant_type, bnb_4bit_compute_dtype=compute_dtype ) # Load model and tokenizer model = AutoModelForCausalLM.from_pretrained(model_id, quantization_config=bnb_config, use_cache = False, device_map=device_map)...
)base_model.config.use_cache = False# More info: https://github.com/huggingface/transformers/pull/24906base_model.config.pretraining_tp = 1 peft_config = LoraConfig(lora_alpha=16,lora_dropout=0.1,r=64,bias="none",task_type="CAUSAL_LM", ...
use_gradient_checkpointing="unsloth",# 检查点，长上下文度random_state=3407,use_rslora=False,loft...
"num_return_sequences": 1, "renormalize_logits": true, "remove_invalid_values": true, "use_cache": true, "eos_token_id": 2, "pad_token_id": 0, "bos_token_id": 1, "num_prompt_tokens": 13, "t_generate": 25.178476572036743, "ntokens": 281, "tokens_persecond": 11.160325415779614...