JakeOh / llada-1.0-sft-gsm8k

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Total runs: 15
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30-day runs: 5
Model's Last Updated: December 30 2025
text-generation

Introduction of llada-1.0-sft-gsm8k

Model Details of llada-1.0-sft-gsm8k

Model Card for trainer_output

This model is a fine-tuned version of GSAI-ML/LLaDA-8B-Base . 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

Visualize in Weights & Biases

This model was trained with SFT.

Framework versions
  • PEFT 0.18.0
  • TRL: 0.25.1
  • Transformers: 4.57.3
  • Pytorch: 2.9.1
  • Datasets: 4.4.1
  • 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 JakeOh llada-1.0-sft-gsm8k on huggingface.co

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llada-1.0-sft-gsm8k is an open source model from GitHub that offers a free installation service, and any user can find llada-1.0-sft-gsm8k on GitHub to install. At the same time, huggingface.co provides the effect of llada-1.0-sft-gsm8k install, users can directly use llada-1.0-sft-gsm8k installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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JakeOh
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