Yi 34Bx2 MoE 60B DPO by cloudyu

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Yi 34Bx2 MoE 60B DPO Benchmarks

Yi 34Bx2 MoE 60B DPO (cloudyu/Yi-34Bx2-MoE-60B-DPO)

Yi 34Bx2 MoE 60B DPO Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
Text generation
Additional Notes 
This is the DPO improved version of Yi-34Bx2-MoE-60B.
LLM NameYi 34Bx2 MoE 60B DPO
Repository ๐Ÿค—https://huggingface.co/cloudyu/Yi-34Bx2-MoE-60B-DPO 
Model Size60.8b
Required VRAM121.8 GB
Updated2025-03-18
Maintainercloudyu
Model Typemixtral
Model Files  4.9 GB: 1-of-25   4.8 GB: 2-of-25   4.9 GB: 3-of-25   4.8 GB: 4-of-25   4.9 GB: 5-of-25   4.8 GB: 6-of-25   4.9 GB: 7-of-25   5.0 GB: 8-of-25   5.0 GB: 9-of-25   5.0 GB: 10-of-25   5.0 GB: 11-of-25   5.0 GB: 12-of-25   5.0 GB: 13-of-25   5.0 GB: 14-of-25   5.0 GB: 15-of-25   5.0 GB: 16-of-25   5.0 GB: 17-of-25   5.0 GB: 18-of-25   5.0 GB: 19-of-25   5.0 GB: 20-of-25   5.0 GB: 21-of-25   5.0 GB: 22-of-25   5.0 GB: 23-of-25   5.0 GB: 24-of-25   2.8 GB: 25-of-25
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length200000
Model Max Length200000
Transformers Version4.37.0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than cloudyu/Yi-34Bx2-MoE-60B-DPO.

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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