mistral-7b-arc-DRO

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Direct Use

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from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_id = "Leejh123e/mistral-7b-arc-DRO"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype=torch.float16,
    device_map="auto"
)

# Prompt format used during training
prompt = "Question: Which of these is a result of the earth rotating on its axis?
Answer:"

inputs = tokenizer(prompt, return_tensors="pt").to(model.device)

outputs = model.generate(
    **inputs,
    max_new_tokens=64,
    do_sample=True,
    temperature=0.7,
)

print(tokenizer.decode(outputs[0][len(inputs['input_ids'][0]):], skip_special_tokens=True))

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Training Details

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Framework versions

• PEFT 0.18.1