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Small bug fix
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@ -103,7 +103,7 @@ def generate_reply(question, temperature, max_length, inference_settings, select
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if eos_token is None:
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output = eval(f"model.generate(input_ids, {preset}){cuda}")
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else:
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n = tokenizer.encode(eos_token, return_tensors='pt')[0][1]
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n = tokenizer.encode(eos_token, return_tensors='pt')[0][-1]
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output = eval(f"model.generate(input_ids, eos_token_id={n}, {preset}){cuda}")
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reply = tokenizer.decode(output[0], skip_special_tokens=True)
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@ -131,6 +131,7 @@ else:
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print(f"{i+1}. {model}")
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print(f"\nWhich one do you want to load? 1-{len(available_models)}\n")
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i = int(input())-1
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print()
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model_name = available_models[i]
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model, tokenizer = load_model(model_name)
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