---
title: GRPO Qwen2.5 Coder
emoji: 💻
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: "5.23.3"
python_version: "3.10"
app_file: app.py
pinned: false
base_model: unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit
library_name: peft
pipeline_tag: text-generation
tags:
- base_model:adapter:unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit
- grpo
- lora
- transformers
- trl
- unsloth
---

# Model Card for Model ID

This Space serves the local LoRA adapter with a Gradio UI and an API function named
`/predict`. The public Space URL is <https://huggingface.co/spaces/harshu1906/GRPO>.

```python
from gradio_client import Client

client = Client("harshu1906/GRPO")
result = client.predict("Write a Python function that adds two numbers.", 128, 0.7, api_name="/predict")
print(result)
```

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## Model Details

### Model Description

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## Uses

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### Direct Use

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## How to Get Started with the Model

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## Training Details

### Training Data

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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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## Model Card Contact

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### Framework versions

- PEFT 0.20.0