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hf/bench.py: need to specify bfloat16 otherwise it consumes twice as much memory in A10. #9

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hf/bench.py: need to specify bfloat16 otherwise it consumes twice as much memory in A10. #9

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3 changes: 2 additions & 1 deletion hf/bench.py
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Original file line number Diff line number Diff line change
@@ -1,5 +1,6 @@
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
import time
import sys
sys.path.append('../common/')
Expand All @@ -8,7 +9,7 @@

model_id = "meta-llama/Llama-2-7b-hf"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16)
model.to("cuda")

def predict(prompt:str):
Expand Down