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

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.