Codegen25 7B Instruct P by Salesforce

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  Arxiv:2305.02309   Autotrain compatible   Code   Dataset:bigcode/starcoderdata   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded

Codegen25 7B Instruct P Benchmarks

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

Codegen25 7B Instruct P Parameters and Internals

Model Type 
program synthesis, code generation
Use Cases 
Areas:
program synthesis
Primary Use Cases:
generating executable code from English prompts, code autocompletion
Limitations:
model can generate verbatim code from dataset
Considerations:
Attribution or other specific requirements might be needed due to source code license.
Additional Notes 
The model is more efficient and requires less size than StarCoderBase-15.5B achieving competitive results.
Supported Languages 
programming_languages_supported (multiple)
Training Details 
Data Sources:
bigcode/starcoderdata
Data Volume:
1.4 trillion tokens
Methodology:
autoregressive language model with instruction tuning
Model Architecture:
autoregressive
Input Output 
Input Format:
Comment strings for prompts
Accepted Modalities:
text
Output Format:
Executable code
LLM NameCodegen25 7B Instruct P
Repository ๐Ÿค—https://huggingface.co/Salesforce/codegen25-7b-instruct_P 
Model Size7b
Required VRAM27.6 GB
Updated2025-02-09
MaintainerSalesforce
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   7.7 GB: 3-of-3
Supported Languagescode
Model ArchitectureLlamaForCausalLM
Licenseother
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-instruct_P.

Rank the Codegen25 7B Instruct 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 v20241227