BienKieu / llama-3.2-3b-instruct-lora

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Total runs: 39
24-hour runs: 0
7-day runs: 20
30-day runs: 39
Model's Last Updated: October 05 2025

Introduction of llama-3.2-3b-instruct-lora

Model Details of llama-3.2-3b-instruct-lora

Model Card for llama-instruct-lora

This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct . 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="None", 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
  • PEFT 0.15.2
  • TRL: 0.23.0
  • Transformers: 4.56.2
  • Pytorch: 2.8.0
  • Datasets: 3.6.0
  • Tokenizers: 0.22.1
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 Gallou{\'e}dec},
    year         = 2020,
    journal      = {GitHub repository},
    publisher    = {GitHub},
    howpublished = {\url{https://github.com/huggingface/trl}}
}

Runs of BienKieu llama-3.2-3b-instruct-lora on huggingface.co

39
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0
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3-day runs
20
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39
30-day runs

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llama-3.2-3b-instruct-lora is an open source model from GitHub that offers a free installation service, and any user can find llama-3.2-3b-instruct-lora on GitHub to install. At the same time, huggingface.co provides the effect of llama-3.2-3b-instruct-lora install, users can directly use llama-3.2-3b-instruct-lora installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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