Update token length
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@@ -268,7 +268,7 @@ async def hf_model_if_cache(
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).to("cuda")
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inputs = {k: v.to(hf_model.device) for k, v in input_ids.items()}
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output = hf_model.generate(
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**input_ids, max_new_tokens=200, num_return_sequences=1, early_stopping=True
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**input_ids, max_new_tokens=512, num_return_sequences=1, early_stopping=True
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)
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response_text = hf_tokenizer.decode(output[0][len(inputs["input_ids"][0]):], skip_special_tokens=True)
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if hashing_kv is not None:
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