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使用int8,cpu上保存的参数使用...
"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, ...
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_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...
"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, "llm_int8_skip_modules":null, "llm_int8_threshold":6.0, ...
bnb_4bit_compute_dtype=torch.float16, # Computation precision setting bnb_4bit_quant_storage=torch.uint8, # Storage format for quantized weights bnb_4bit_quant_type="nf4", # Quantization format, here using normally distributed int4 bnb_4bit_use_double_quant=True, # Whether to us...
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使用int8,cpu上保存的参数使用...
"_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":false, "llm_int8_has_fp16_weight":false, ...
"_load_in_4bit":true, "_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":false, ...