Codegen 16B Mono by Salesforce

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  Arxiv:2203.13474   Autotrain compatible   Codegen   Endpoints compatible   Pytorch   Region:us

Codegen 16B Mono Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codegen 16B Mono (Salesforce/codegen-16B-mono)

Codegen 16B Mono Parameters and Internals

Model Type 
autoregressive, language model, program synthesis
Use Cases 
Areas:
program synthesis
Primary Use Cases:
Generating executable code from English prompts
Supported Languages 
programming (Python)
Training Details 
Data Sources:
BigPython dataset
Data Volume:
71.7B tokens
Methodology:
Cross-entropy loss
Hardware Used:
TPU-v4-512
LLM NameCodegen 16B Mono
Repository ๐Ÿค—https://huggingface.co/Salesforce/codegen-16B-mono 
Model Size16b
Required VRAM32.2 GB
Updated2025-02-09
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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Instruct Codegen 16B0K / 32.2 GB1821
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Codegen 16B Mono Toolbench0K / 128.4 GB165
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Codegen 16B Multi0K / 32.2 GB462120
Note: green Score (e.g. "73.2") means that the model is better than Salesforce/codegen-16B-mono.

Rank the Codegen 16B Mono 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 v20241227