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Codegen 6B Multi by Salesforce

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

  2501   
  Arxiv:2203.13474   Autotrain compatible   Codegen   Endpoints compatible   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/Salesforce/codegen-6B-multi 

Codegen 6B Multi Benchmarks

ARC: 27.22 vs 96.7 (so35)-71.9%
HellaSwag: 41.11 vs 95.3 (gpt4)-56.9%
MMLU: 25.71 vs 88.3 (so35)-70.9%
TruthfulQA: 45.65 vs 59 (gpt4)-22.6%
WinoGrande: 53.91 vs 87.5 (gpt4)-38.4%
GSM8K: 0.99 vs 96.4 (so35)-99%
LLME Score: 0.07259
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codegen 6B Multi (Salesforce/codegen-6B-multi)

Codegen 6B Multi Parameters and Internals

Model Type 
text generation, program synthesis
Use Cases 
Areas:
research, commercial applications
Applications:
program synthesis, code generation
Primary Use Cases:
Generating executable code from English prompts, Completing partially generated code
Limitations:
Only best at program synthesis tasks
Considerations:
Prompts should be in the form of a comment string
Supported Languages 
Python (High), C (High), C++ (High), Go (High), Java (High), JavaScript (High)
Training Details 
Data Sources:
BigQuery, GitHub repositories
Data Volume:
119.2B tokens
Methodology:
Cross-entropy loss to maximize likelihood of sequential inputs
Hardware Used:
TPU-v4-512
Model Architecture:
Autoregressive language model
LLM NameCodegen 6B Multi
Repository 🤗https://huggingface.co/Salesforce/codegen-6B-multi 
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-multi.

Rank the Codegen 6B Multi 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 v20241227
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