zai-org/CodeGeeX

zai-org/CodeGeeX

Description: CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)

Language: Python

License: Apache-2.0

Stars: 8790

Forks: 690

Open issues: 186

Created: 2022-09-17T14:06:29Z

Pushed: 2024-08-13T05:59:38Z

Default branch: main

Fork: no

Archived: no

README:

🏠 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](#codegeex-a-multilingual-code-generation-model)
• [News](#news)
• [Getting Started](#getting-started)
• [Installation](#installation)
• [Model Weights](#model-weights)
• [Inference on GPUs](#inference-on-gpus)
• [VS Code and Jetbrains Extension Guidance](#vs-code-and-jetbrains-extension-guidance)
• [CodeGeeX: Architecture, Code Corpus, and Implementation](#codegeex-architecture-code-corpus-and-implementation)
• [HumanEval-X: A new benchmark for Multilingual Program Synthesis](#humaneval-x-a-new-benchmark-for-multilingual-program-synthesis)
• [Multilingual Code Generation](#multilingual-code-generation)
• [Crosslingual Code Translation](#crosslingual-code-translation)
• [How to use HumanEval-X and contribute to it?](#how-to-use-humaneval-x-and-contribute-to-it)
• [License](#license)
• [Citation](#citation)

CodeGeeX: A Multilingual Code Generation Model

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:

• Multilingual Code Generation: CodeGeeX has good performance for generating executable programs in several mainstream programming languages, including Python, C++, Java, JavaScript, Go, etc. DEMO
• Crosslingual Code Translation: CodeGeeX supports the translation of code snippets between different languages. Simply by one click, CodeGeeX can transform a program into any expected language with a high accuracy. DEMO
• Customizable Programming Assistant: CodeGeeX is available in the VS Code extension marketplace for free. It supports code completion, explanation, summarization and more, which empower users with a better coding experience. VS Code Extension
• Open-Source and Cross-Platform: All codes and model weights are publicly available for research purposes. CodeGeeX supports both Ascend and NVIDIA platforms. It supports inference in a single Ascend 910, NVIDIA V100 or A100. Apply Model Weights

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](codegeex/benchmark/README.md) 🤗 Available in HuggingFace

CodeGeeX achieves the highest average performance compared with other open-sourced multilingual baselines.

News

• 🌟 2023-07-24: CodeGeeX2 has been released, more powerful, faster, and lightweight. Support 100+ languages and many new features.

• 2023-5-16: CodeGeeX paper has been accepted by KDD 2023, Long Beach and will be represented during the conference.

• 2023-03-30: CodeGeeX paper is now available at arxiv.

• 2023-02-14: CodeGeeX now supports Cloud Studio, a fantastic web IDE from Tencent. Click on the badge on top of this page to quickly launch an environment to test CodeGeeX.

• 2023-02-13: Thanks a lot to OneFlow team for adding oneflow backend for CodeGeeX's inference (Even faster than FasterTransformer under FP16!). Check more details here.

• 2023-02: We are hosting CodeGeeX "Coding With AI" Hackathon, design cool applications based on CodeGeeX and win prizes (RTX 4090, DJI drone, etc)!

• 2022-12-31: We release the FasterTransformer version of CodeGeeX in codegeex-fastertransformer. The INT8 accelerated version reaches an a verage speed of 15GB) and model parallelism (possible to run on multiple GPUs with codegeex_13b.tar.gz

tar xvf codegeex_13b.tar.gz

### Inference on GPUs

Have a try on generating the first program with CodeGeeX. First, specify the path of the model weights in ``configs/codegeex_13b.sh``. Second, write the prompt (natural language description or code snippet) into a file, e.g., ``tests/test_prompt.txt``, then run the following script:

On a single GPU (with more than 27GB RAM)

bash ./scripts/test_inference.sh ./tests/test_prompt.txt

With quantization (with more than 15GB RAM)

bash ./scripts/test_inference_quantized.sh ./tests/test_prompt.txt

On multiple GPUs (with more than 6GB RAM, need to first convert ckpt to MP_SIZE partitions)

bash ./scripts/convert_ckpt_parallel.sh bash ./scripts/test_inference_parallel.sh ./tests/test_prompt.txt

### VS Code and Jetbrains Extension Guidance

Based on CodeGeeX, we also develop free extentions for VS Code and Jetbrains IDEs, and more in the future.

For VS Code, search "codegeex" in Marketplace or install it [here](https://marketplace.visualstudio.com/items?itemName=aminer.codegeex). Detailed instructions can be found in
[VS Code Extension Guidance](vscode-extension/README.md). For developers, we have also released the source code in [codegeex-vscode-extension](https://github.com/CodeGeeX/codegeex-vscode-extension), please follow…