zai-org/CodeGeeX: CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023) ·
We introduce CodeGeeX, a large-scale multilingual code generation model with 13 billion parameters, pre-trained on a large code corpus of more than 20 programming languages. As of June 22, 2022, CodeGeeX has been trained on more than 850 billion tokens on a cluster of 1,536 Ascend 910 AI Processors. CodeGeeX has several unique features: HumanEval-X for Realistic Multilingual Benchmarking. To help standardize the evaluation of multilingual code generation and translation, we develop and release the HumanEval-X Benchmark. HumanEval-X is a new multilingual benchmark that contains 820 human-crafted coding problems in 5 programming languages (Python, C++, Java, JavaScript, and Go), each of these problems is associated with tests and solutions. Usage 🤗 Available in HuggingFace CodeGeeX achieves the highest average performance compared with other open-sourced multilingual baselines. 🌟 2023-07-24: CodeGeeX2 has been released, more powerful, faster, and lightweight. Support 100+ languages and
🏠 Homepage | 📖 Blog | 🪧 DEMO | 🤖 Download Model | 📄 Paper | 🌐 中文 🛠 VS Code, Jetbrains, Cloud Studio supported | 👋 Join our Discord, Slack, Telegram, WeChat 🌟 The newest CodeGeeX4 has been released. | 最新一代 CodeGeeX4 模型已经正式开源。 CodeGeeX: A Multilingual Code Generation Model News Getting Started Installation Model Weights Inference on GPUs VS Code and Jetbrains Extension Guidance CodeGeeX: Architecture, Code Corpus, and Implementation HumanEval-X: A new benchmark for Multilingual Program Synthesis Multilingual Code Generation Crosslingual Code Translation How to use…
saved by
related reading
- GitHub - JustVugg/colibri: Run frontier MoE models on hardware you already own — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦github.com
- [2203.07814] Competition-Level Code Generation with AlphaCodearxiv.org
- Best practices for Claude Code - Claude Code Docsanthropic.com
- Coding Models Are Doing Too Much | whnrehiew.github.io
- Introducing FrontierCode | Cognitioncognition.ai
- GitHub - brexhq/prompt-engineering: Tips and tricks for working with Large Language Models like OpenAI's GPT-4.github.com
- GitHub - Egonex-AI/Understand-Anything: Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.github.com
- Introducing FrontierCode | Cognitioncognition.com
- [2501.01257] CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratingsarxiv.org
- StarCoder: A State-of-the-Art LLM for Codehuggingface.co
- The open source AI coding agentopencode.ai
- Benchmarking Coding Agents on Databricks’ Multi-Million Line Codebasedatabricks.com