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Update token length

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tackhwa 2024-10-26 02:42:40 +08:00 • committed by GitHub
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lightrag/llm.py
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@ -268,7 +268,7 @@ async def hf_model_if_cache(
).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][len(inputs["input_ids"][0]):], skip_special_tokens=True)
if hashing_kv is not None: