#pip install -U transformers accelerate torchimport torch
from transformers import pipeline, set_seed
model_path = "vicky4s4s/mistral-7b-v2-instruct"
pipe = pipeline("text-generation", model=model_path, torch_dtype=torch.bfloat16, device_map="cuda")
messages = [{"role": "user", "content": "what is meaning of life?"}]
outputs = pipe(messages, max_new_tokens=1000, do_sample=True, temperature=0.71, top_k=50, top_p=0.92,repetition_penalty=1)
print(outputs[0]["generated_text"][-1]["content"])
Limitations
The Mistral 7B Instruct model is a quick demonstration that the base model can be easily fine-tuned to achieve compelling performance.
It does not have any moderation mechanisms. We're looking forward to engaging with the community on ways to
make the model finely respect guardrails, allowing for deployment in environments requiring moderated outputs.
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