While use bnb 4bit config like below: qnt_config = BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_quant_type="nf4", bnb_4bit_compute_dtype=torch.float16, bnb_4bit_use_double_quant=True) First time this issue occured while pixel_values = pixel_values.to(torch.bfloat16).unsqueeze(0...
bnb_4bit_use_double_quant=True, # 是否采用双量化,即对zeropoint和scaling参数进行量化 llm_int8_enable_fp32_cpu_offload=False, # 是否llm使用int8,cpu上保存的参数使用fp32 llm_int8_has_fp16_weight=False, # 是否启用混合精度 #llm_int8_skip_modules=["out_proj", "kv_proj", "lm_head"],...
"bnb_4bit_quant_type": "nf4", "bnb_4bit_use_double_quant": true, "llm_int8_enable_fp32_cpu_offload": false, "llm_int8_has_fp16_weight": false, "llm_int8_skip_modules": [ "lm_head", "multi_modal_projector", "merger", "modality_projection", "model.layers.1....
bnb_config = BitsAndBytesConfig( load_in_4bit=True, bnb_4bit_use_double_quant=True, bnb_4bit_quant_type="nf4", bnb_4bit_compute_dtype=torch.bfloat16 ) Run Code Online (Sandbox Code Playgroud) 当您使用 from_pretrained() Transformers 方法加载模型时: model = AutoModelForCausalLM.from...
"_load_in_8bit":false, "bnb_4bit_compute_dtype":"bfloat16", "bnb_4bit_quant_storage":"uint8", "bnb_4bit_quant_type":"nf4", "bnb_4bit_use_double_quant":true, "llm_int8_enable_fp32_cpu_offload":true, "llm_int8_has_fp16_weight":false, ...
float16, # 计算精度设置 bnb_4bit_quant_storage=torch.uint8, # 量化权重的储存格式 bnb_4bit_quant_type="nf4", # 量化格式,这里用的是正太分布的int4 bnb_4bit_use_double_quant= True, # 是否采用双量化,即对zeropoint和scaling参数进行量化 llm_int8_enable_fp32_cpu_offload=False, # 是否llm...
bnb_4bit_use_double_quant: bool = False, llm_int8_enable_fp32_cpu_offload: bool = False, llm_int8_has_fp16_weight: bool = False, llm_int8_skip_modules: Optional[Any] = None, llm_int8_skip_modules: Optional[List[str]] = None, ...
"bnb_4bit_quant_storage":"uint8", "bnb_4bit_quant_type":"nf4", "bnb_4bit_use_double_quant":true, "llm_int8_enable_fp32_cpu_offload":false, "llm_int8_has_fp16_weight":false, "llm_int8_skip_modules":null, "llm_int8_threshold":6.0, ...
"bnb_4bit_quant_type":"nf4", "bnb_4bit_use_double_quant":true, "llm_int8_enable_fp32_cpu_offload":false, "llm_int8_has_fp16_weight":false, "llm_int8_skip_modules":null, "llm_int8_threshold":6.0, "load_in_4bit":true, ...
CUDA_VISIBLE_DEVICES=0 \ swift export \ --model Qwen/Qwen2.5-1.5B-Instruct \ --quant_method bnb \ --quant_bits 4 \ --bnb_4bit_quant_type nf4 \ --bnb_4bit_use_double_quant true \ --output_dir Qwen2.5-1.5B-Instruct-BNB-NF4 1 2 3 4 5 6 7 8While...