Codet5p 220M Py Ct2 Int8 by jncraton

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  Arxiv:2305.07922   Endpoints compatible   Region:us

Codet5p 220M Py Ct2 Int8 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codet5p 220M Py Ct2 Int8 (jncraton/codet5p-220m-py-ct2-int8)
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Codet5p 220M Py Ct2 Int8 Parameters and Internals

Model Type 
encoder-decoder
Use Cases 
Areas:
code understanding, code generation
Applications:
text-to-code generation, code completion, code retrieval
Additional Notes 
The model is instruction-tuned following Code Alpaca to align with natural language instructions.
Supported Languages 
c (supported), c++ (supported), c-sharp (supported), go (supported), java (supported), javascript (supported), php (supported), python (supported), ruby (supported)
Training Details 
Data Sources:
github-code dataset (permissively licensed code)
Methodology:
Multilingual unimodal code pretraining followed by Python subset fine-tuning with causal language modeling.
Model Architecture:
Shallow encoder and deep decoder architecture.
Input Output 
Input Format:
Python functions
Accepted Modalities:
text
Output Format:
Generated code
LLM NameCodet5p 220M Py Ct2 Int8
Repository ๐Ÿค—https://huggingface.co/jncraton/codet5p-220m-py-ct2-int8 
Model Size220m
Required VRAM0.2 GB
Updated2025-09-23
Maintainerjncraton
Model Files  0.2 GB
Model ArchitectureAutoModel
Licensebsd-3-clause
Model Max Length512
Tokenizer ClassRobertaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Errorsreplace

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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