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MoTCoder 15B V1.0 by JingyaoLi

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MoTCoder 15B V1.0 is an open-source language model by JingyaoLi. Features: 15b LLM, VRAM: 30.9GB, License: bigscience-openrail-m, Code Generating, LLM Explorer Score: 0.11.

  Arxiv:2312.15960   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: 0.11105
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
Updated2026-03-28
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

Best Alternatives to MoTCoder 15B V1.0

Best Alternatives
Context / RAM
Downloads
Likes
WizardCoder Guanaco 15B V1.10K / 31 GB84012
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Interplay AppCoder0K / 31.2 GB282
Codes 15B Spider0K / 62.1 GB120
Codes 15B Bird With Evidence0K / 62.1 GB60
Ziya Coding 15B V10K / 31.1 GB74
WizardCoderSQL 15B V1.00K / 31.2 GB81
Codes 15B0K / 62.1 GB1049
...zardCoder 15B V1.0 Sharded 8gb0K / 62.2 GB180
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

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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