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Codegen25 7B Multi P by Salesforce

 »  All LLMs  »  Salesforce  »  Codegen25 7B Multi P   URL Share it on

  769   
  Arxiv:2305.02309   Autotrain compatible   Code   Dataset:bigcode/starcoderdata   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Salesforce/codegen25-7b-multi_P 

Codegen25 7B Multi P Benchmarks

LLME Score: 0.13128
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codegen25 7B Multi P (Salesforce/codegen25-7b-multi_P)

Codegen25 7B Multi P Parameters and Internals

Model Type 
autoregressive, language model
Use Cases 
Areas:
program synthesis
Applications:
program synthesis, code generation
Primary Use Cases:
Generating executable code given English prompts
Limitations:
Can generate source code verbatim from the dataset
Considerations:
Attribution may be required for generated code
Additional Notes 
The model supports both infilling and causal sampling capabilities.
Supported Languages 
languages_supported (Multiple programming languages), language_proficiency ()
Training Details 
Data Sources:
StarCoderData
Data Volume:
1.4T tokens
Input Output 
Input Format:
Natural language and programming language texts
Accepted Modalities:
text
Output Format:
Executable code
Performance Tips:
LLM NameCodegen25 7B Multi P
Repository 🤗https://huggingface.co/Salesforce/codegen25-7b-multi_P 
Model Size7b
Required VRAM27.6 GB
Updated2025-03-14
MaintainerSalesforce
Model Typellama
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   7.7 GB: 3-of-3
Supported Languagescode
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.29.2
Tokenizer ClassCodeGen25Tokenizer
Vocabulary Size51200
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than Salesforce/codegen25-7b-multi_P.

Rank the Codegen25 7B Multi P 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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Release v20241227
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