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Yi 34Bx2 MoE 60B 5.0bpw H6 EXL2 by LoneStriker

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Model Card on HF 🤗: https://huggingface.co/LoneStriker/Yi-34Bx2-MoE-60B-5.0bpw-h6-exl2 

Yi 34Bx2 MoE 60B 5.0bpw H6 EXL2 Benchmarks

LLME Score: 0.16019
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi 34Bx2 MoE 60B 5.0bpw H6 EXL2 (LoneStriker/Yi-34Bx2-MoE-60B-5.0bpw-h6-exl2)

Yi 34Bx2 MoE 60B 5.0bpw H6 EXL2 Parameters and Internals

Model Type 
Mixture of Experts (MoE), Causal Language Model
Use Cases 
Areas:
research, non-commercial applications
Additional Notes 
The Yi based MOE 2x34B model is a slightly different version of cloudyu/Mixtral_34Bx2_MoE_60B and integrates elements from jondurbin/bagel-dpo-34b-v0.2 and SUSTech/SUS-Chat-34B models.
Supported Languages 
English (proficient), Chinese (proficient)
Input Output 
Input Format:
Textual prompts
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Ensure that the input prompt is in English or Chinese for best performance.
LLM NameYi 34Bx2 MoE 60B 5.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/Yi-34Bx2-MoE-60B-5.0bpw-h6-exl2 
Model Size60b
Required VRAM38.8 GB
Updated2025-02-05
MaintainerLoneStriker
Model Typemixtral
Model Files  8.6 GB: 1-of-5   8.6 GB: 2-of-5   8.5 GB: 3-of-5   8.6 GB: 4-of-5   4.5 GB: 5-of-5
Quantization Typeexl2
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length200000
Model Max Length200000
Transformers Version4.36.2
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 LoneStriker/Yi-34Bx2-MoE-60B-5.0bpw-h6-exl2.

Rank the Yi 34Bx2 MoE 60B 5.0bpw H6 EXL2 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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Release v20241227
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