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Mistral-7B-Instruct-v0.1

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The instruct model repeats entire instructions given to it before generating the response. Is there a way to prevent this and generate only the required response?

from transformers import AutoModelForCausalLM, AutoTokenizer, MistralForCausalLM
model_path = ""
base_model = AutoModelForCausalLM.from_pretrained(untrained_model_path,torch_dtype=torch.float16)
tokenizer = AutoTokenizer.from_pretrained(model_path)
base_model.to(device)
messages = [
{"role": "user", "content": "What is your favourite condiment?"},
{"role": "assistant", "content": "Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!"},
{"role": "user", "content": "Do you have mayonnaise recipes?"}
]

encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt")
model_inputs = encodeds.to(device)
generated_ids = base_model.generate(model_inputs,pad_token_id=tokenizer.eos_token_id, max_new_tokens=1000, do_sample=True)
decoded = tokenizer.batch_decode(generated_ids)
print(decoded[0])

Output:

[INST] What is your favourite condiment? [/INST]Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen! [INST] Do you have mayonnaise recipes? [/INST] Of course! I have a few different recipes for mayonnaise that you might enjoy. Here are a few options:

1. Classic mayonnaise:

Ingredients:

• 2 large egg yolks
• 2 tablespoons cold water
• 1/2 teaspoon salt
• 1/4 teaspoon freshly ground black pepper
• 1/3 cup vegetable oil
• 1/3 cup olive oil
• 2 tablespoons chopped fresh parsley
• 1 tablespoon champagne vinegar