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AquilaMoE by BAAI

 »  All LLMs  »  BAAI  »  AquilaMoE   URL Share it on

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  Arxiv:2202.08906   Arxiv:2212.05055   Arxiv:2401.09192   Arxiv:2408.06567   Aquilamoe   Autotrain compatible   Conversational   Custom code   En   Moe   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/BAAI/AquilaMoE 

AquilaMoE Benchmarks

LLME Score: 0.19471
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AquilaMoE (BAAI/AquilaMoE)

AquilaMoE Parameters and Internals

Model Type 
text generation, bilingual, mixture of experts
Use Cases 
Areas:
Research, Commercial Applications
Applications:
Text Generation, Bilingual Applications
Primary Use Cases:
Language Modeling
Limitations:
No moderation mechanisms implemented
Considerations:
Community engagement to enable moderation for deployment in sensitive environments
Additional Notes 
Includes EfficientScale training methodology.
Supported Languages 
en (proficient), zh (proficient)
Training Details 
Data Sources:
RedPajama-Data-V2, falcon-refinedweb, C4, Pile, WuDaoCorporaText, ChineseWebText
Data Volume:
4TB tokens
Methodology:
EfficientScale training pipeline with Scale-Up and Scale-Out phases
Context Length:
4096
Model Architecture:
8*16B Mixture of Experts
Input Output 
Input Format:
Textual input in English or Chinese
Accepted Modalities:
text
Output Format:
Textual output
Release Notes 
Version:
AquilaDense-7B
Notes:
Initial dense model training
Version:
AquilaDense-16B
Notes:
Expanded dense model training
Version:
AquilaMoE
Notes:
Final model with Mixture of Experts
LLM NameAquilaMoE
Repository 🤗https://huggingface.co/BAAI/AquilaMoE 
Model Size104.7b
Required VRAM211.4 GB
Updated2025-02-22
MaintainerBAAI
Model Typeaquilamoe
Model Files  4.8 GB: 1-of-43   5.0 GB: 2-of-43   5.0 GB: 3-of-43   5.0 GB: 4-of-43   5.0 GB: 5-of-43   5.0 GB: 6-of-43   5.0 GB: 7-of-43   5.0 GB: 8-of-43   5.0 GB: 9-of-43   5.0 GB: 10-of-43   5.0 GB: 11-of-43   5.0 GB: 12-of-43   5.0 GB: 13-of-43   5.0 GB: 14-of-43   5.0 GB: 15-of-43   5.0 GB: 16-of-43   4.8 GB: 17-of-43   5.0 GB: 18-of-43   5.0 GB: 19-of-43   5.0 GB: 20-of-43   5.0 GB: 21-of-43   5.0 GB: 22-of-43   5.0 GB: 23-of-43   5.0 GB: 24-of-43   5.0 GB: 25-of-43   5.0 GB: 26-of-43   5.0 GB: 27-of-43   5.0 GB: 28-of-43   5.0 GB: 29-of-43   5.0 GB: 30-of-43   5.0 GB: 31-of-43   5.0 GB: 32-of-43   5.0 GB: 33-of-43   5.0 GB: 34-of-43   5.0 GB: 35-of-43   5.0 GB: 36-of-43   5.0 GB: 37-of-43   5.0 GB: 38-of-43   5.0 GB: 39-of-43   5.0 GB: 40-of-43   4.8 GB: 41-of-43   5.0 GB: 42-of-43   2.0 GB: 43-of-43
Supported Languagesen zh
Model ArchitectureAquilaMoeForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.1
Vocabulary Size151851
Torch Data Typebfloat16

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AquilaMoE SFT4K / 209.4 GB2136
Note: green Score (e.g. "73.2") means that the model is better than BAAI/AquilaMoE.

Rank the AquilaMoE 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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Release v20241227
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