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MixTAO 7Bx2 MoE V8.1 by mixtao

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  Autotrain compatible   Conversational   Endpoints compatible   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow

MixTAO 7Bx2 MoE V8.1 Benchmarks

MMLU Pro: 23.59
GPQA: 4.59
MUSR: 15.29
BBH: 32.31
IFEval: 41.62 vs 88 (so35)-52.7%
MATH Lvl 5: 8.01
LLME Score: 0.30907
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MixTAO 7Bx2 MoE V8.1 Parameters and Internals

LLM NameMixTAO 7Bx2 MoE V8.1
Repository 🤗https://huggingface.co/mixtao/MixTAO-7Bx2-MoE-v8.1 
Model Size12.9b
Required VRAM25.8 GB
Updated2024-10-18
Maintainermixtao
Model Typemixtral
Model Files  1.9 GB: 1-of-13   2.0 GB: 2-of-13   2.0 GB: 3-of-13   2.0 GB: 4-of-13   1.9 GB: 5-of-13   2.0 GB: 6-of-13   2.0 GB: 7-of-13   2.0 GB: 8-of-13   2.0 GB: 9-of-13   2.0 GB: 10-of-13   2.0 GB: 11-of-13   2.0 GB: 12-of-13   2.0 GB: 13-of-13
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16
MixTAO 7Bx2 MoE V8.1 (mixtao/MixTAO-7Bx2-MoE-v8.1)

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Rank the MixTAO 7Bx2 MoE V8.1 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 v2024072803
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