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LinalgZero-SFT-LoRA
rfvasile/LinalgZero-SFT-LoRA
LinalgZero-SFT-LoRA is a machine learning model from rfvasile. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
The training code is available on Github.
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Public
Updated Feb 24, 2026
Repo size
1.5 GB
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At a glance
- Library
- transformers
- Access
- Public
- Created
- Dec 10, 2025
- Updated
- Feb 24, 2026
- SHA
- 8b78a6b6
Datasets
Spaces
Model card
From the Hugging Face model README
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
- Library
- transformers
- Created
- Dec 10, 2025
- Updated
- Feb 24, 2026