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Mixtral 7Bx2 MoE GGUF by ManniX-ITA

 »  All LLMs  »  ManniX-ITA  »  Mixtral 7Bx2 MoE GGUF   URL Share it on

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  Autotrain compatible Base model:cloudyu/mixtral 7bx... Base model:quantized:cloudyu/m...   Conversational   Gguf   Mixtral   Moe   Q2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/ManniX-ITA/Mixtral_7Bx2_MoE-GGUF 

Mixtral 7Bx2 MoE GGUF Benchmarks

LLME Score: 0.18613
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 (ManniX-ITA/Mixtral_7Bx2_MoE-GGUF)

Mixtral 7Bx2 MoE GGUF Parameters and Internals

Model Type 
mixtral
Input Output 
Input Format:
{prompt}
LLM NameMixtral 7Bx2 MoE GGUF
Repository 🤗https://huggingface.co/ManniX-ITA/Mixtral_7Bx2_MoE-GGUF 
Model NameMixtral 7Bx2 MoE
Model Creatorhai
Base Model(s)  Mixtral 7Bx2 MoE   cloudyu/Mixtral_7Bx2_MoE
Model Size7b
Required VRAM4.8 GB
Updated2025-02-05
MaintainerManniX-ITA
Model Typemixtral
Model Files  5.7 GB   5.6 GB   5.3 GB   7.4 GB   7.0 GB   4.8 GB   6.7 GB   6.2 GB   5.6 GB   7.3 GB   7.8 GB   7.3 GB   8.9 GB   9.1 GB   8.9 GB   10.6 GB
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Vocabulary Size32000
Torch Data Typebfloat16

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

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Release v20241227
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