import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, AwqConfig
model_id = "hugging-quants/Meta-Llama-3.1-70B-Instruct-AWQ-INT4"
quantization_config = AwqConfig(
bits=4,
fuse_max_seq_len=512, # Note: Update this as per your use-case
do_fuse=True,
)
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype=torch.float16,
low_cpu_mem_usage=True,
device_map="auto",
quantization_config=quantization_config
)
prompt = [
{"role": "system", "content": "You are a helpful assistant, that responds as a pirate."},
{"role": "user", "content": "What's Deep Learning?"},
]
inputs = tokenizer.apply_chat_template(
prompt,
tokenize=True,
add_generation_prompt=True,
return_tensors="pt",
return_dict=True,
).to("cuda")
outputs = model.generate(**inputs, do_sample=True, max_new_tokens=256)
print(tokenizer.batch_decode(outputs[:, inputs['input_ids'].shape[1]:], skip_special_tokens=True)[0])
Continually getting this error
RuntimeError: Failed to import transformers.models.auto.processing_auto because of the following error (look up to see its traceback):
module 'torch.library' has no attribute 'register_fake'
Struggling to get the example from this link running on colab (A100 instance)
https://huggingface.co/hugging-quants/Meta-Llama-3.1-70B-Instruct-AWQ-INT4
Continually getting this error