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Fix example int8_inference_huggingface.py #414

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Feb 27, 2024
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Fix example int8_inference_huggingface.py #414

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f8c96ce
Fix example int8_inference_huggingface.py
alexrs May 19, 2023
e173289
Update examples/int8_inference_huggingface.py
alexrs Jan 25, 2024
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11 changes: 4 additions & 7 deletions examples/int8_inference_huggingface.py
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Original file line number Diff line number Diff line change
@@ -1,27 +1,24 @@
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
from transformers import LlamaForCausalLM, LlamaTokenizer

MAX_NEW_TOKENS = 128
model_name = 'decapoda-research/llama-7b-hf'
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text = 'Hamburg is in which country?\n'
tokenizer = AutoTokenizer.from_pretrained(model_name)
tokenizer = LlamaTokenizer.from_pretrained(model_name)
input_ids = tokenizer(text, return_tensors="pt").input_ids

free_in_GB = int(torch.cuda.mem_get_info()[0]/1024**3)
max_memory = f'{int(torch.cuda.mem_get_info()[0]/1024**3)-2}GB'

n_gpus = torch.cuda.device_count()
max_memory = {i: max_memory for i in range(n_gpus)}

model = AutoModelForCausalLM.from_pretrained(
model = LlamaForCausalLM.from_pretrained(
model_name,
device_map='auto',
load_in_8bit=True,
max_memory=max_memory
)

generated_ids = model.generate(input_ids, max_length=MAX_NEW_TOKENS)
print(tokenizer.decode(generated_ids[0], skip_special_tokens=True))