CodeShell 7B by WisdomShell

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CodeShell 7B Benchmarks

CodeShell 7B (WisdomShell/CodeShell-7B)
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CodeShell 7B Parameters and Internals

Model Type 
multi-language code LLM
Supported Languages 
zh (comprehensive), en (comprehensive)
Training Details 
Data Volume:
500 billion tokens
Context Length:
8194
Model Architecture:
GPT-2 with Grouped-Query Attention and RoPE relative position encoding
LLM NameCodeShell 7B
Repository ๐Ÿค—https://huggingface.co/WisdomShell/CodeShell-7B 
Model Size7b
Required VRAM15.4 GB
Updated2025-06-17
MaintainerWisdomShell
Model Typekclgpt
Model Files  10.0 GB: 1-of-2   5.4 GB: 2-of-2
Supported Languageszh en
Model ArchitectureCodeShellForCausalLM
Model Max Length8192
Transformers Version4.31.0
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size70144
Torch Data Typebfloat16
Activation Functiongelu_pytorch_tanh

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Context / RAM
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Note: green Score (e.g. "73.2") means that the model is better than WisdomShell/CodeShell-7B.

Rank the CodeShell 7B Capabilities

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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