try to load llama2 model:
model = AutoModelForCausalLM.from_pretrained(
model_name,
quantization_config=bnb_config,
device_map=device_map
)
with these bnb_config:
BitsAndBytesConfig {
"bnb_4bit_compute_dtype": "bfloat16",
"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,
"load_in_8bit": false,
"quant_method": "bitsandbytes"
}
and I get this error:
RuntimeError: Failed to import transformers.models.llama.modeling_llama because of the following error (look up to see its traceback):
cannot import name 'flash_attn_func' from 'flash_attn' (/opt/conda/lib/python3.10/site-packages/flash_attn/__init__.py)
Any help would be helpful.
I was having the same error when finetuning llama2 model, the solution will be to revert to the previous version of transformers.
pip install transformers==4.33.1 --upgrade
This should work.
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