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Codegen 350M Mono by Salesforce

 »  All LLMs  »  Salesforce  »  Codegen 350M Mono   URL Share it on

  41176   
  Arxiv:2203.13474   Autotrain compatible   Codegen   Endpoints compatible   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/Salesforce/codegen-350M-mono 

Codegen 350M Mono Benchmarks

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 350M Mono (Salesforce/codegen-350M-mono)

Codegen 350M Mono Parameters and Internals

Model Type 
autoregressive language model, code generation
Use Cases 
Areas:
program synthesis
Applications:
code completion, feature extraction from programming language texts
Primary Use Cases:
generating executable code from English prompts, completing partially-generated code
Supported Languages 
python (Native)
Training Details 
Data Sources:
BigPython dataset
Data Volume:
71.7B tokens
Methodology:
cross-entropy loss to maximize the likelihood of sequential inputs
Hardware Used:
TPU-v4-512
Model Architecture:
autoregressive
Input Output 
Input Format:
comment string
Accepted Modalities:
text
Output Format:
executable code
LLM NameCodegen 350M Mono
Repository 🤗https://huggingface.co/Salesforce/codegen-350M-mono 
Model Size350m
Required VRAM0.8 GB
Updated2025-02-22
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-mono.

Rank the Codegen 350M Mono 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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Release v20241227
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