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Codegen 16B Multi by Salesforce

 »  All LLMs  »  Salesforce  »  Codegen 16B Multi   URL Share it on

  625   
  Arxiv:2203.13474   Autotrain compatible   Codegen   Endpoints compatible   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/Salesforce/codegen-16B-multi 

Codegen 16B Multi Benchmarks

HumanEvalA: 9.89
Python Eva: 19.26 vs 92 (so35)-79.1%
Java Eval: 22.2
Javascript: 19.15
CPP Eval: 21
PHP Eval: 8.37
D Eval: 7.68
Lua Eval: 8.5
R Eval: 6.45
Racket Eva: 0.66
Rust Eval: 4.21
Swift Eval: 1.25
LLME Score: 0.02068
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codegen 16B Multi (Salesforce/codegen-16B-multi)

Codegen 16B 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 16B Multi
Repository 🤗https://huggingface.co/Salesforce/codegen-16B-multi 
Model Size16b
Required VRAM32.2 GB
Updated2025-03-12
MaintainerSalesforce
Model Typecodegen
Model Files  32.2 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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Context / RAM
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Codegen2 16B P0K / 64.3 GB78145
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Codegen 16B Multi 6 Parts0K / 32.2 GB170
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Fine Tuned Codegen 16B Verilog0K / 32.2 GB19213
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Codegen 16B Mono0K / 32.2 GB568125
Note: green Score (e.g. "73.2") means that the model is better than Salesforce/codegen-16B-multi.

Rank the Codegen 16B 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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