Model Card for LinalgZero-SFT-LoRA

The training code is available on Github.

This model is a fine-tuned version of Qwen/Qwen2.5-3B on the atomwalk12/linalgzero-sft dataset. 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="atomwalk12/LinalgZero-SFT-LoRA", 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: 0.20.0
• Transformers: 4.56.2
• Pytorch: 2.7.1
• Datasets: 4.4.1
• Tokenizers: 0.22.1