---
datasets: atomwalk12/linalgzero-sft
library_name: transformers
model_name: atomwalk12/LinalgZero-SFT-LoRA
tags:
- generated_from_trainer
- linear-algebra
- unsloth
- linalg-zero
- trl
- tool-use
- sft
licence: license
---

# Model Card for LinalgZero-SFT

The training code is available [on Github](https://github.com/atomwalk12/linalg-zero).

This model is a fine-tuned version of [atomwalk12/LinalgZero-SFT-LoRA](https://huggingface.co/atomwalk12/LinalgZero-SFT-LoRA) on the [atomwalk12/linalgzero-sft](https://huggingface.co/datasets/atomwalk12/linalgzero-sft) dataset.
It has been trained using [TRL](https://github.com/huggingface/trl).

## Quick start

```python
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", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
```

## Training procedure

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/walks/linalgzero-sft/runs/wur5q4sr) 


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