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Codegeex4 All 9B by THUDM

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  Chatglm   Codegeex   Custom code   En   Glm   Region:us   Safetensors   Sharded   Tensorflow   Thudm   Zh
Model Card on HF 🤗: https://huggingface.co/THUDM/codegeex4-all-9b 

Codegeex4 All 9B Benchmarks

LLME Score: 0.28485
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Codegeex4 All 9B Parameters and Internals

Model Type 
text generation
Supported Languages 
en (fluent), zh (fluent)
Input Output 
Input Format:
<|system|>\n{system_prompt}\n<|user|>\n{prompt}\n<|assistant|>\n
Accepted Modalities:
text
Output Format:
Code and programming solution text
LLM NameCodegeex4 All 9B
Repository 🤗https://huggingface.co/THUDM/codegeex4-all-9b 
Model Size9b
Required VRAM18.8 GB
Updated2024-12-04
MaintainerTHUDM
Model Typechatglm
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   4.9 GB: 3-of-4   4.0 GB: 4-of-4
Supported Languageszh en
Model ArchitectureChatGLMModel
Licenseother
Transformers Version4.40.2
Tokenizer ClassChatGLM4Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151552
Torch Data Typebfloat16
Codegeex4 All 9B (THUDM/codegeex4-all-9b)

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Note: green Score (e.g. "73.2") means that the model is better than THUDM/codegeex4-all-9b.

Rank the Codegeex4 All 9B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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