Use CodeGeeX, an open multilingual code generation model described in its research project.
Open source
24 alternativesAwesome-Code-LLM
This repository curates research on large language models for code generation.
About Awesome-Code-LLM
Awesome-Code-LLM is a public, open-source GitHub repository that curates research, models, benchmarks, and evaluation resources for code-focused large language models (Code LLMs). It is maintained by the open-source community and welcomes contributions of relevant resources from users.
The repository includes a ranked leaderboard of top Code LLMs sorted by HumanEval Pass@1 performance, links to open-source evaluation toolkits, and organized collections of research papers covering pre-training, instruction tuning, alignment, prompting, and benchmarking for code LLMs.
It is designed for researchers, machine learning engineers, and developers who work on, test, or study code generation large language models.
Key features
- Ranked leaderboard of top Code LLMs sorted by HumanEval Pass@1 performance.
- Curated collection of Code LLM research papers organized by topic.
- Links to open-source code LLM evaluation toolkits and frameworks.
- Accepts community contributions of relevant resources via pull requests.
Best for: It is most useful for researchers, machine learning engineers, and developers working on or evaluating code generation large language models.
Good for
- Centralizes up-to-date Code LLM research and resources in one location.
- Includes a transparent, performance-ranked leaderboard of leading code models.
- Open to community contributions to keep content current and comprehensive.
Watch out for
- Coverage relies on voluntary community contributions, so may have gaps for lesser-known resources.
- Does not host models or evaluation tools, only provides links to external resources.
Awesome-Code-LLM at a glance
- Category
- AI & Machine Learning › Models & ML Research
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Awesome-Code-LLM FAQ
What is Awesome-Code-LLM?
It is a public GitHub repository that curates research, models, benchmarks, and evaluation resources for code-focused large language models.
How is the Code LLM leaderboard ranked?
The leaderboard ranks top Code LLMs by their HumanEval Pass@1 performance scores, with higher-scoring models listed first.
Can I contribute resources to this repository?
Yes, the repository accepts community contributions of relevant Code LLM resources, papers, and tools via pull requests.
Is something wrong or out of date?
Tell us and an editor will check it.
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