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GemMoE Beta 1 by Crystalcareai

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  Autotrain compatible   Custom code   Gemmoe   Pytorch   Region:us   Sharded

GemMoE Beta 1 Benchmarks

LLME Score: 0.20695
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

GemMoE Beta 1 Parameters and Internals

Model Type 
Mixture of Experts (MoE)
Additional Notes 
Repo deprecated. New models are available at Hugging Face.
Training Details 
Methodology:
Custom MoE architecture tailored specifically for Gemma.
Model Architecture:
8 separately fine-tuned Gemma models, 2 experts per token.
LLM NameGemMoE Beta 1
Repository 🤗https://huggingface.co/Crystalcareai/GemMoE-Beta-1 
Required VRAM66.3 GB
Updated2024-11-21
MaintainerCrystalcareai
Model Typegemmoe
Model Files  4.9 GB: 9-of-22   4.9 GB: 10-of-22   4.9 GB: 11-of-22   4.9 GB: 12-of-22   4.9 GB: 13-of-22   4.9 GB: 14-of-22   4.9 GB: 15-of-22   4.9 GB: 16-of-22   4.9 GB: 17-of-22   4.9 GB: 18-of-22   4.9 GB: 19-of-22   5.0 GB: 20-of-22   5.0 GB: 21-of-22   2.4 GB: 22-of-22
Model ArchitectureGemmoeForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassGemmaTokenizer
Padding Token<bos>
Vocabulary Size256000
Torch Data Typebfloat16
GemMoE Beta 1 (Crystalcareai/GemMoE-Beta-1)

Rank the GemMoE Beta 1 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 v20241110
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