Yuan2 M32 by IEITYuan

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  Arxiv:2405.17976   Autotrain compatible   Custom code   Region:us   Yuan
Model Card on HF ๐Ÿค—: https://huggingface.co/IEITYuan/Yuan2-M32 

Yuan2 M32 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yuan2 M32 (IEITYuan/Yuan2-M32)

Yuan2 M32 Parameters and Internals

Model Type 
Mixture-of-Experts, Language Model
Use Cases 
Areas:
Research, Commercial Applications
Considerations:
Comply with the Yuan2.0 Model License Agreement.
Additional Notes 
Yuan2.0-M32 utilizes only 3.7B active parameters with efficient mixture-of-experts architecture.
Training Details 
Data Volume:
2000B tokens
Methodology:
Mixture-of-Experts with Attention Router
Context Length:
16000
Model Architecture:
32 experts, 2 active
LLM NameYuan2 M32
Repository ๐Ÿค—https://huggingface.co/IEITYuan/Yuan2-M32 
Updated2025-02-22
MaintainerIEITYuan
Model Typeyuan
Model ArchitectureYuanForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.30.0.dev0
Tokenizer ClassYuanTokenizer
Vocabulary Size135040
Torch Data Typebfloat16

Best Alternatives to Yuan2 M32

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Context / RAM
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Yuan2 M32 Hf4K / 79.8 GB24960
Note: green Score (e.g. "73.2") means that the model is better than IEITYuan/Yuan2-M32.

Rank the Yuan2 M32 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 v20241227