APUS XDAN 4.0 MoE V2 by xDAN2099

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  Autotrain compatible   Conversational   En   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow   Zh

APUS XDAN 4.0 MoE V2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
APUS XDAN 4.0 MoE V2 (xDAN2099/APUS-xDAN-4.0-MoE-v2)
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APUS XDAN 4.0 MoE V2 Parameters and Internals

Model Type 
language modeling, transformer-based, decoder-only
Additional Notes 
APUS-xDAN-4.0-MOE uses advanced quantization to remain efficient even in consumer-grade hardware.
Supported Languages 
en (proficient), zh (proficient)
Training Details 
Methodology:
Mixture of Experts (MoE) architecture; Human-enhanced feedback algorithms
Context Length:
32768
Model Architecture:
Mixture of 4 Experts
Input Output 
Accepted Modalities:
text
LLM NameAPUS XDAN 4.0 MoE V2
Repository ๐Ÿค—https://huggingface.co/xDAN2099/APUS-xDAN-4.0-MoE-v2 
Model Size113.7b
Required VRAM227.6 GB
Updated2025-08-20
MaintainerxDAN2099
Model Typemixtral
Model Files  9.9 GB: 1-of-24   9.9 GB: 2-of-24   9.8 GB: 3-of-24   10.0 GB: 4-of-24   10.0 GB: 5-of-24   9.8 GB: 6-of-24   9.9 GB: 7-of-24   9.8 GB: 8-of-24   9.8 GB: 9-of-24   9.9 GB: 10-of-24   9.8 GB: 11-of-24   10.0 GB: 12-of-24   10.0 GB: 13-of-24   9.8 GB: 14-of-24   9.9 GB: 15-of-24   9.8 GB: 16-of-24   9.8 GB: 17-of-24   9.9 GB: 18-of-24   9.8 GB: 19-of-24   10.0 GB: 20-of-24   10.0 GB: 21-of-24   9.8 GB: 22-of-24   9.9 GB: 23-of-24   0.3 GB: 24-of-24
Supported Languagesen zh
Model ArchitectureMixtralForCausalLM
Licensecc-by-4.0
Context Length32768
Model Max Length32768
Transformers Version4.39.2
Tokenizer ClassLlamaTokenizer
Padding Token<|im_start|>
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than xDAN2099/APUS-xDAN-4.0-MoE-v2.

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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 v20241124