ketchup123 / llama-2-7b-chat-pubmedqa-safeinstruct-num-samples-100

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Introduction of llama-2-7b-chat-pubmedqa-safeinstruct-num-samples-100

Model Details of llama-2-7b-chat-pubmedqa-safeinstruct-num-samples-100

Model Card for llama-2-7b-chat-pubmedqa-safeinstruct-num-samples-100

This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf . It has been trained using TRL .

Quick start
from transformers import pipeline

question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
generator = pipeline("text-generation", model="ketchup123/llama-2-7b-chat-pubmedqa-safeinstruct-num-samples-100", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
Training procedure

This model was trained with SFT.

Framework versions
  • TRL: 0.12.2
  • Transformers: 4.46.3
  • Pytorch: 2.4.1+cu121
  • Datasets: 3.2.0
  • Tokenizers: 0.20.3
Citations

Cite TRL as:

@misc{vonwerra2022trl,
    title        = {{TRL: Transformer Reinforcement Learning}},
    author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
    year         = 2020,
    journal      = {GitHub repository},
    publisher    = {GitHub},
    howpublished = {\url{https://github.com/huggingface/trl}}
}

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llama-2-7b-chat-pubmedqa-safeinstruct-num-samples-100 is an open source model from GitHub that offers a free installation service, and any user can find llama-2-7b-chat-pubmedqa-safeinstruct-num-samples-100 on GitHub to install. At the same time, huggingface.co provides the effect of llama-2-7b-chat-pubmedqa-safeinstruct-num-samples-100 install, users can directly use llama-2-7b-chat-pubmedqa-safeinstruct-num-samples-100 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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