# CodeWeave-QwenCoder

A fine-tuned code generation model optimized for Python and JavaScript development tasks.

## Model Description

CodeWeave-QwenCoder is a specialized code generation model fine-tuned from **Qwen/Qwen2.5-Coder-7B-Instruct** for enhanced performance on real-world coding tasks.

### Base Model

- **Foundation**: Qwen2.5-Coder-7B-Instruct from Alibaba's Qwen team
- **Architecture**: Transformer-based decoder-only model
- **Parameters**: 7B

### Training Data

The model was fine-tuned on our curated CodeWeave-Instructions dataset, which includes:

- 50K Python programming exercises
- 30K JavaScript development tasks
- Code review and refactoring examples

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("toolevalxm/CodeWeave-QwenCoder")
tokenizer = AutoTokenizer.from_pretrained("toolevalxm/CodeWeave-QwenCoder")
```

## Evaluation Results

| Benchmark | Score |
|-----------|-------|
| HumanEval | 72.5% |
| MBPP | 68.3% |

## Acknowledgements

We thank the Qwen team for the excellent base model.

**License**

The license for this model is apache-2.0.