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MoTCoder 15B V1.0 by JingyaoLi

 »  All LLMs  »  JingyaoLi  »  MoTCoder 15B V1.0   URL Share it on

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  Arxiv:2312.15960   Autotrain compatible   Code   Codegen   Endpoints compatible   Gpt bigcode   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/JingyaoLi/MoTCoder-15B-v1.0 

MoTCoder 15B V1.0 Benchmarks

LLME Score: 0.12756
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MoTCoder 15B V1.0 (JingyaoLi/MoTCoder-15B-v1.0)
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MoTCoder 15B V1.0 Parameters and Internals

Model Type 
Code generation
Additional Notes 
MoTCoder focuses on improving task modularity through sub-modules for better code generation effectiveness.
LLM NameMoTCoder 15B V1.0
Repository 🤗https://huggingface.co/JingyaoLi/MoTCoder-15B-v1.0 
Model Size15b
Required VRAM30.9 GB
Updated2025-09-23
MaintainerJingyaoLi
Model Typegpt_bigcode
Model Files  5.0 GB: 1-of-7   4.9 GB: 2-of-7   4.9 GB: 3-of-7   4.9 GB: 4-of-7   4.9 GB: 5-of-7   4.9 GB: 6-of-7   1.4 GB: 7-of-7   0.0 GB
Generates CodeYes
Model ArchitectureGPTBigCodeForCausalLM
Licensebigscience-openrail-m
Model Max Length2048
Transformers Version4.35.0
Tokenizer ClassGPT2Tokenizer
Padding Token[PAD]
Vocabulary Size49153
Torch Data Typefloat16
Activation Functiongelu

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...zardCoder 15B V1.0 Sharded 8GB0K / 62.2 GB210
Note: green Score (e.g. "73.2") means that the model is better than JingyaoLi/MoTCoder-15B-v1.0.

Rank the MoTCoder 15B V1.0 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 v20241124
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