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Codegeex2 6B by THUDM

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  Arxiv:2303.17568   Chatglm   Codegeex   Custom code   En   Endpoints compatible   Glm   Pytorch   Region:us   Sharded   Thudm   Zh
Model Card on HF 🤗: https://huggingface.co/THUDM/codegeex2-6b 

Codegeex2 6B Benchmarks

HumanEvalA: 21.23
Python Eva: 33.49 vs 92 (so35)-63.6%
Java Eval: 23.46
Javascript: 29.9
CPP Eval: 28.45
PHP Eval: 25.27
Julia Eval: 20.93
D Eval: 8.44
Lua Eval: 15.94
R Eval: 14.58
Racket Eva: 11.75
Rust Eval: 20.45
Swift Eval: 22.06
LLME Score: 0.13637
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codegeex2 6B (THUDM/codegeex2-6b)

Codegeex2 6B Parameters and Internals

Model Type 
Multilingual Code Generation
Use Cases 
Areas:
Research, Commercial Applications
Applications:
Coding assistants, Code generation, Code translation
Primary Use Cases:
Code generation in various languages, Automated code completion, AI-assisted programming
Limitations:
Advised against use in critical code deployments without review
Additional Notes 
CodeGeeX2 significantly improves over the first generation, adding more powerful features and multilingual support.
Supported Languages 
zh (Chinese), en (English)
Training Details 
Data Sources:
Various code sources for pre-training
Data Volume:
600B code tokens
Methodology:
Based on ChatGLM2 architecture.
Context Length:
8192
Model Architecture:
ChatGLM2 with additional code pre-training
Input Output 
Input Format:
Language tagged code prompts
Accepted Modalities:
Textual code inputs
Output Format:
Generated code
Performance Tips:
Adding language tags to prompts can improve performance.
LLM NameCodegeex2 6B
Repository 🤗https://huggingface.co/THUDM/codegeex2-6b 
Model Size6b
Required VRAM12.5 GB
Updated2025-02-05
MaintainerTHUDM
Model Typechatglm
Model Files  1.8 GB: 1-of-7   2.0 GB: 2-of-7   1.9 GB: 3-of-7   1.8 GB: 4-of-7   2.0 GB: 5-of-7   1.9 GB: 6-of-7   1.1 GB: 7-of-7
Supported Languageszh en
Model ArchitectureChatGLMModel
Transformers Version4.30.2
Tokenizer ClassChatGLMTokenizer
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than THUDM/codegeex2-6b.

Rank the Codegeex2 6B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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