Mixtral 7Bx2 MoE GGUF by TheBloke

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Base model:cloudyu/mixtral 7bx... Base model:quantized:cloudyu/m...   Gguf   Mixtral   Moe   Quantized   Region:us

Mixtral 7Bx2 MoE GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mixtral 7Bx2 MoE GGUF Parameters and Internals

LLM NameMixtral 7Bx2 MoE GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/Mixtral_7Bx2_MoE-GGUF 
Model NameMixtral 7Bx2 MoE
Model Creatorhai
Base Model(s)  Mixtral 7Bx2 MoE   cloudyu/Mixtral_7Bx2_MoE
Required VRAM4.4 GB
Updated2024-09-16
MaintainerTheBloke
Model Typemixtral
Model Files  4.4 GB   5.7 GB   7.3 GB   7.3 GB   8.9 GB   8.9 GB   10.6 GB   13.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensecc-by-nc-4.0
Mixtral 7Bx2 MoE GGUF (TheBloke/Mixtral_7Bx2_MoE-GGUF)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mixtral_7Bx2_MoE-GGUF.

Rank the Mixtral 7Bx2 MoE GGUF Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803