MixTAO 7Bx2 MoE V8.1 GGUF by MaziyarPanahi

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  2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible Base model:mixtao/mixtao-7bx2-... Base model:quantized:mixtao/mi...   Endpoints compatible   Gguf   Mistral   Mixtral   Model-index   Moe   Quantized   Region:us   Safetensors

MixTAO 7Bx2 MoE V8.1 GGUF Benchmarks

nn.n% โ€” How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sponsored by Nebius

MixTAO 7Bx2 MoE V8.1 GGUF Parameters and Internals

Model Type 
text-generation
LLM NameMixTAO 7Bx2 MoE V8.1 GGUF
Repository ๐Ÿค—https://huggingface.co/MaziyarPanahi/MixTAO-7Bx2-MoE-v8.1-GGUF 
Model NameMixTAO-7Bx2-MoE-v8.1-GGUF
Model Creatorzhengr
Base Model(s)  zhengr/MixTAO-7Bx2-MoE-v8.1   zhengr/MixTAO-7Bx2-MoE-v8.1
Required VRAM4.8โ€ฏGB
Updated2025-03-13
MaintainerMaziyarPanahi
Model Typemistral
Model Files  7.0 GB   4.8 GB   6.7 GB   6.2 GB   5.6 GB   7.8 GB   7.3 GB   9.1 GB   8.9 GB   10.6 GB   13.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/MixTAO-7Bx2-MoE-v8.1-GGUF.

Rank the MixTAO 7Bx2 MoE V8.1 GGUF Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

Instruction Following and Task Automation  
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Factuality and Completeness of Knowledge  
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Censorship and Alignment  
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Data Analysis and Insight Generation  
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Text Generation  
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Text Summarization and Feature Extraction  
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Code Generation  
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Multi-Language Support and Translation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227