在加载模型时，可能也会在from_pretrained（）函数中设置bnb_4bit_compute_dtype=torch.float16。
but bnb_4bit_compute_type=torch.float32 (default). This will lead to slow inferenceortraining speed.') Run Code Online (Sandbox Code Playgroud) 硬件: DellPrecision T7920 Tower server/WorkstationIntelxeon gold processor @ 18 cores 2.3 ghz dual 36 cores 72 virtual cpus512GBDDR4 RAMUPGRADABLE...
bnb_config = BitsAndBytesConfig( load_in_4bit=True, bnb_4bit_quant_type="nf4", bnb_4bit_compute_dtype=torch.bfloat16 ) model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", quantization_config=bnb_config) Expected behavior when i am running the above snipped it is...
bnb_4bit_compute_dtype=torch.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...
"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, "llm_int8_skip_modules":null, ...
"_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, ...
original_type=x.dtype original_shape=x.shape reshape_after_matmul=False ifx.ndim>2: x=x.reshape(-1,x.size(-1)) reshape_after_matmul=True bf_x=x.to(torch.bfloat16) qweight=layer.qweight Expand DownExpand Up@@ -310,6 +334,9 @@ def _apply_4bit_weight( ...
_6_bnb_int4' # 量化模型保存地址 image_path = '/root/ld/ld_project/MiniCPM-V/assets/airplane.jpeg' # 创建一个配置对象来指定量化参数 quantization_config = BitsAndBytesConfig( load_in_4bit= True, # 是否进行4bit量化 load_in_8bit=False, # 是否进行8bit量化 bnb_4bit_compute_dtype=torch...
"_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":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, "llm_int8_has_fp16_weight":false, ...