Codegen 350M Multi by Salesforce

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

Codegen 350M Multi 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 (Salesforce/codegen-350M-multi)

Codegen 350M Multi Parameters and Internals

Model Type 
program synthesis, language model
Use Cases 
Areas:
program synthesis
Applications:
code generation, programming assistance
Training Details 
Data Sources:
BigQuery dataset of multiple programming languages from GitHub repositories
Data Volume:
119.2B tokens
Methodology:
autoregressive training using cross-entropy loss
Hardware Used:
TPU-v4-512
Input Output 
Input Format:
natural language and programming language texts
Accepted Modalities:
text
Output Format:
executable code
LLM NameCodegen 350M Multi
Repository ๐Ÿค—https://huggingface.co/Salesforce/codegen-350M-multi 
Model Size350m
Required VRAM0.8 GB
Updated2025-02-09
MaintainerSalesforce
Model Typecodegen
Model Files  0.8 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-350M-multi.

Rank the Codegen 350M Multi Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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