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Codegen 6B Nl by Salesforce

 »  All LLMs  »  Salesforce  »  Codegen 6B Nl   URL Share it on

  2048   
  Arxiv:2203.13474   Autotrain compatible   Codegen   Endpoints compatible   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/Salesforce/codegen-6B-nl 

Codegen 6B Nl Benchmarks

ARC: 42.32 vs 96.7 (so35)-56.2%
HellaSwag: 68.59 vs 95.3 (gpt4)-28%
MMLU: 25.93 vs 88.3 (so35)-70.6%
TruthfulQA: 34.47 vs 59 (gpt4)-41.6%
WinoGrande: 66.46 vs 87.5 (gpt4)-24%
GSM8K: 2.2 vs 96.4 (so35)-97.7%
LLME Score: 0.06301
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codegen 6B Nl (Salesforce/codegen-6B-nl)

Codegen 6B Nl Parameters and Internals

Model Type 
autoregressive, language model
Use Cases 
Primary Use Cases:
program synthesis
Limitations:
Best at generating executable code given English prompts
Training Details 
Data Sources:
the Pile
Methodology:
Trained using cross-entropy loss for maximizing likelihood.
Hardware Used:
multiple TPU-v4-512
LLM NameCodegen 6B Nl
Repository 🤗https://huggingface.co/Salesforce/codegen-6B-nl 
Model Size6b
Required VRAM14.3 GB
Updated2025-03-12
MaintainerSalesforce
Model Typecodegen
Model Files  14.3 GB
Generates CodeYes
Model ArchitectureCodeGenForCausalLM
Licensebsd-3-clause
Model Max Length2048
Transformers Version4.21.0.dev0
Tokenizer ClassGPT2Tokenizer
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 Salesforce/codegen-6B-nl.

Rank the Codegen 6B Nl 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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Release v20241227
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