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[FIX] fix hf output bug (current output contain user prompt which cause logical error in entity extraction phase) #138

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merged 2 commits into from
Oct 26, 2024
Merged

[FIX] fix hf output bug (current output contain user prompt which cause logical error in entity extraction phase) #138

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d9054c6
fix hf output bug
tackhwa Oct 25, 2024
5bfd107
Update token length
tackhwa Oct 25, 2024
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5 changes: 3 additions & 2 deletions lightrag/llm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -266,10 +266,11 @@ async def hf_model_if_cache(
input_ids = hf_tokenizer(
input_prompt, return_tensors="pt", padding=True, truncation=True
).to("cuda")
inputs = {k: v.to(hf_model.device) for k, v in input_ids.items()}
output = hf_model.generate(
**input_ids, max_new_tokens=200, num_return_sequences=1, early_stopping=True
**input_ids, max_new_tokens=512, num_return_sequences=1, early_stopping=True
)
response_text = hf_tokenizer.decode(output[0], skip_special_tokens=True)
response_text = hf_tokenizer.decode(output[0][len(inputs["input_ids"][0]):], skip_special_tokens=True)
if hashing_kv is not None:
await hashing_kv.upsert({args_hash: {"return": response_text, "model": model}})
return response_text
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