{"data":{"slug":"zai-org-codegeex","name":"CodeGeeX","tagline":"CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)","github_url":"https://github.com/zai-org/CodeGeeX","owner":"zai-org","repo":"CodeGeeX","owner_avatar_url":"https://avatars.githubusercontent.com/u/223098841?v=4","primary_language":"Python","stars":8796,"forks":689,"topics":["code-generation","pretrained-models","tools"],"archived":false,"github_pushed_at":"2024-08-13T05:59:38+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/zai-org-codegeex","markdown_url":"https://www.graphcanon.com/tools/zai-org-codegeex.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/zai-org-codegeex","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=zai-org-codegeex","description":"CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)","homepage_url":"https://codegeex.cn","license":"Apache-2.0","open_issues":188,"watchers":85,"ai_summary":null,"readme_excerpt":"## Getting Started\n\nCodeGeeX is initially implemented in Mindspore and trained Ascend 910 AI Processors. We provide a torch-compatible version based on [Megatron-LM](https://github.com/NVIDIA/Megatron-LM) to facilitate usage on GPU platforms.\n\n---\n\n### Installation\n\nPython 3.7+ / CUDA 11+ / PyTorch 1.10+ / DeepSpeed 0.6+ are required. Install ``codegeex`` package via: \n```bash\ngit clone git@github.com:THUDM/CodeGeeX.git\ncd CodeGeeX\npip install -e .\n```\nOr use [CodeGeeX docker](https://hub.docker.com/r/codegeex/codegeex) to quickly set up the environment (with [nvidia-docker](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker) installed):\n```bash\ndocker pull codegeex/codegeex:latest\n\n---\n\n## License\n\nOur code is licensed under the [Apache-2.0 license](LICENSE).\nOur model is licensed under the [license](MODEL_LICENSE).","github_created_at":"2022-09-17T14:06:29+00:00","created_at":"2026-07-11T23:20:04.651215+00:00","updated_at":"2026-07-11T23:20:19.306553+00:00","categories":[{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"},{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"}],"tags":[{"slug":"pretrained-models","name":"pretrained models"},{"slug":"python","name":"python"},{"slug":"tools","name":"tools"},{"slug":"code-generation","name":"code-generation"}],"trust":{"provenance":{"is_fork":false,"github_id":537827151,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T23:20:07.809Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":697,"last_release_at":null},"security_summary":{"status":"findings","scanner":"osv@v1","low_count":85,"high_count":0,"last_scan_at":"2026-07-11T23:20:09.632Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-11T23:20:07.318Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-07-11T23:20:07.318Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-07-11T23:20:07.318Z"}}}}