Codegen 350M Multi Gptj by moyix

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Codegen 350M Multi Gptj is an open-source language model by moyix. Features: 350m LLM, VRAM: 0.8GB, Code Generating, LLM Explorer Score: 0.03.

  Codegen   Endpoints compatible   Gptj   Pytorch   Region:us

Codegen 350M Multi Gptj Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codegen 350M Multi Gptj (moyix/codegen-350M-multi-gptj)
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Codegen 350M Multi Gptj Parameters and Internals

LLM NameCodegen 350M Multi Gptj
Repository ๐Ÿค—https://huggingface.co/moyix/codegen-350M-multi-gptj 
Model Size350m
Required VRAM0.8 GB
Updated2026-04-01
Maintainermoyix
Model Typegptj
Model Files  0.8 GB
Generates CodeYes
Model ArchitectureGPTJForCausalLM
Transformers Version4.21.0.dev0
Tokenizer ClassCodeGenTokenizer
Vocabulary Size51200
Torch Data Typefloat16
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than moyix/codegen-350M-multi-gptj.

Rank the Codegen 350M Multi Gptj 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.
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Release v20260328a