README.md

---
base_model: LiquidAI/LFM2.5-1.2B-Instruct
library_name: transformers
model_name: LFM2.5-1.2B-Instruct-Coding
tags:
- generated_from_trainer
- grpo
- trl
- rlvr
- sandbox
- LoRA
- peft
licence: license
datasets:
- OpenCoder-LLM/opc-sft-stage2
---

# Model Card for LFM2.5-1.2B-Instruct-Coding

This model is a fine-tuned version of [LiquidAI/LFM2.5-1.2B-Instruct](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).

👉 **Model training codebase and sandbox implementation for RLVR:** https://github.com/rparkr/lfm-coder

## Quick start

```python
from transformers import pipeline

question = "Create a Python function that calculates average running speed and pace based on distance covered and time."
generator = pipeline("text-generation", model="rparkr/LFM2.5-1.2B-Instruct-Coding", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=2048, return_full_text=False)[0]
print(output["generated_text"])
```

## Training procedure

This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).

It uses Reinforcement Learning with Verifiable Rewards using a Python sandbox to execute test suites from model-written code and calculate the reward based on passing tests.

### Framework versions

- TRL: 1.3.0
- Transformers: 5.6.2
- Pytorch: 2.11.0
- Datasets: 4.8.5
- Tokenizers: 0.22.2

## Citations

Cite GRPO as:

```bibtex
@article{shao2024deepseekmath,
    title        = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
    author       = {Zhihong Shao and Peiyi Wang and Qihao Zhu and Runxin Xu and Junxiao Song and Mingchuan Zhang and Y. K. Li and Y. Wu and Daya Guo},
    year         = 2024,
    eprint       = {arXiv:2402.03300},
}
```

Cite TRL as:
    
```bibtex
@software{vonwerra2020trl,
  title   = {{TRL: Transformers Reinforcement Learning}},
  author  = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
  license = {Apache-2.0},
  url     = {https://github.com/huggingface/trl},
  year    = {2020}
}
```