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Codegen25 7B Mono P by Salesforce

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

  13   
  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-mono_P 

Codegen25 7B Mono P Benchmarks

LLME Score: 0.09483
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codegen25 7B Mono P (Salesforce/codegen25-7b-mono_P)
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Codegen25 7B Mono P Parameters and Internals

Model Type 
autoregressive, program synthesis
Use Cases 
Areas:
program synthesis
Considerations:
The model generates executable code, and users should ensure proper use to avoid generating potentially harmful code.
Additional Notes 
The model was pre-filtered for permissive licenses but may generate verbatim code from the dataset which requires appropriate attribution.
Supported Languages 
Code ()
Training Details 
Data Sources:
bigcode/starcoderdata, Python
Data Volume:
1.4T tokens
Methodology:
Autoregressive training with infilling and instruction data
Input Output 
Input Format:
Text with CodeGen2 format for infilling
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Use infilling tokens appropriately for desired output.
LLM NameCodegen25 7B Mono P
Repository 🤗https://huggingface.co/Salesforce/codegen25-7b-mono_P 
Model Size7b
Required VRAM27.6 GB
Updated2025-10-26
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

Quantized Models of the Codegen25 7B Mono P

Model
Likes
Downloads
VRAM
Codegen25 7B Mono GPTQ894 GB

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

Rank the Codegen25 7B Mono 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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