AiAF / Mistral-7B-Instruct-v0.2_DPO-training-test

huggingface.co
Total runs: 11
24-hour runs: -2
7-day runs: -2
30-day runs: 6
Model's Last Updated: August 22 2025
text-generation

Introduction of Mistral-7B-Instruct-v0.2_DPO-training-test

Model Details of Mistral-7B-Instruct-v0.2_DPO-training-test

Model Card for Mistral-7B-Instruct-v0.2_DPO-training-test

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 . 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="AiAF/Mistral-7B-Instruct-v0.2_DPO-training-test", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
Training procedure

Visualize in Weights & Biases

This model was trained with DPO, a method introduced in Direct Preference Optimization: Your Language Model is Secretly a Reward Model .

Framework versions
  • TRL: 0.21.0
  • Transformers: 4.55.2
  • Pytorch: 2.7.1+cu126
  • Datasets: 4.0.0
  • Tokenizers: 0.21.4
Citations

Cite DPO as:

@inproceedings{rafailov2023direct,
    title        = {{Direct Preference Optimization: Your Language Model is Secretly a Reward Model}},
    author       = {Rafael Rafailov and Archit Sharma and Eric Mitchell and Christopher D. Manning and Stefano Ermon and Chelsea Finn},
    year         = 2023,
    booktitle    = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
    url          = {http://papers.nips.cc/paper_files/paper/2023/hash/a85b405ed65c6477a4fe8302b5e06ce7-Abstract-Conference.html},
    editor       = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}

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 Gallou{\'e}dec},
    year         = 2020,
    journal      = {GitHub repository},
    publisher    = {GitHub},
    howpublished = {\url{https://github.com/huggingface/trl}}
}

Runs of AiAF Mistral-7B-Instruct-v0.2_DPO-training-test on huggingface.co

11
Total runs
-2
24-hour runs
-3
3-day runs
-2
7-day runs
6
30-day runs

More Information About Mistral-7B-Instruct-v0.2_DPO-training-test huggingface.co Model

Mistral-7B-Instruct-v0.2_DPO-training-test huggingface.co

Mistral-7B-Instruct-v0.2_DPO-training-test huggingface.co is an AI model on huggingface.co that provides Mistral-7B-Instruct-v0.2_DPO-training-test's model effect (), which can be used instantly with this AiAF Mistral-7B-Instruct-v0.2_DPO-training-test model. huggingface.co supports a free trial of the Mistral-7B-Instruct-v0.2_DPO-training-test model, and also provides paid use of the Mistral-7B-Instruct-v0.2_DPO-training-test. Support call Mistral-7B-Instruct-v0.2_DPO-training-test model through api, including Node.js, Python, http.

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AiAF Mistral-7B-Instruct-v0.2_DPO-training-test online free

Mistral-7B-Instruct-v0.2_DPO-training-test huggingface.co is an online trial and call api platform, which integrates Mistral-7B-Instruct-v0.2_DPO-training-test's modeling effects, including api services, and provides a free online trial of Mistral-7B-Instruct-v0.2_DPO-training-test, you can try Mistral-7B-Instruct-v0.2_DPO-training-test online for free by clicking the link below.

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Mistral-7B-Instruct-v0.2_DPO-training-test install

Mistral-7B-Instruct-v0.2_DPO-training-test is an open source model from GitHub that offers a free installation service, and any user can find Mistral-7B-Instruct-v0.2_DPO-training-test on GitHub to install. At the same time, huggingface.co provides the effect of Mistral-7B-Instruct-v0.2_DPO-training-test install, users can directly use Mistral-7B-Instruct-v0.2_DPO-training-test installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Mistral-7B-Instruct-v0.2_DPO-training-test install url in huggingface.co:

https://huggingface.co/AiAF/Mistral-7B-Instruct-v0.2_DPO-training-test

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