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Codet5p 770M Py Ct2 Int8 by jncraton

 »  All LLMs  »  jncraton  »  Codet5p 770M Py Ct2 Int8   URL Share it on

  8   
  Arxiv:2305.07922   Endpoints compatible   Region:us
Model Card on HF 🤗: https://huggingface.co/jncraton/codet5p-770m-py-ct2-int8 

Codet5p 770M Py Ct2 Int8 Benchmarks

LLME Score: 0.09494
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codet5p 770M Py Ct2 Int8 (jncraton/codet5p-770m-py-ct2-int8)
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Codet5p 770M Py Ct2 Int8 Parameters and Internals

Model Type 
encoder-decoder
Supported Languages 
c (basic), c++ (basic), c-sharp (basic), go (basic), java (basic), javascript (basic), php (basic), python (basic), ruby (basic)
Training Details 
Data Sources:
github-code dataset
Data Volume:
permissively licensed code
Methodology:
instruction-tuned, span denoising, causal language modeling, contrastive learning, text-code matching
Model Architecture:
encoder-decoder with a shallow encoder and deep decoder
Input Output 
Input Format:
Python function snippets
Accepted Modalities:
text
Output Format:
textual code completion
LLM NameCodet5p 770M Py Ct2 Int8
Repository 🤗https://huggingface.co/jncraton/codet5p-770m-py-ct2-int8 
Model Size770m
Required VRAM0.7 GB
Updated2025-09-23
Maintainerjncraton
Model Files  0.7 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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Rank the Codet5p 770M Py Ct2 Int8 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  
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Release v20241124
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