Model card
CodeQwen 7B is a specialized transformer model optimized specifically for code intelligence, bridging the gap between high-performance reasoning and efficient deployment. Developed by Alibaba, this 7B parameter model excels in bilingual contexts, making it particularly effective for developers working across Chinese and English documentation or codebases. Unlike general-purpose LLMs that often struggle with syntax precision in smaller footprints, CodeQwen is fine-tuned for code generation, completion, and logic debugging. For engineering teams, the primary value lies in its balance of performance and resource requirements; it is lightweight enough to run on local workstations or edge devices while maintaining competitive benchmarks in common programming languages. Its Apache 2.0 license ensures seamless integration into commercial workflows without the friction of restrictive proprietary terms. Whether you are building an IDE extension, an automated code review agent, or a local copilot, CodeQwen provides a robust, low-latency foundation for production-grade developer tools.
Model files and versions
Download this model
We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.
Qwen/CodeQwen1.5-7BInstall the CLI and SDK dependency before downloading.
pip install modelscopeDownload the complete weights, configuration and model card.
modelscope download --model Qwen/CodeQwen1.5-7BREADME.md is used as an example; replace it with another repository file when needed.
modelscope download --model Qwen/CodeQwen1.5-7B README.md --local_dir ./dirUseful in Python projects and automation scripts.
from modelscope import snapshot_download
model_dir = snapshot_download('Qwen/CodeQwen1.5-7B')Make sure Git LFS is installed correctly.
git lfs install
git clone https://www.modelscope.cn/Qwen/CodeQwen1.5-7B.gitFetch the repository structure first, then pull large files when needed.
GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/Qwen/CodeQwen1.5-7B.gitHow to use
- 01Step 1
Read the model card and source information.
- 02Step 2
Start with a small, non-sensitive evaluation.
- 03Step 3
Review quality, licensing and usage limits.
- 04Step 4
Adopt it only after validation.
Discussions
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