FusionNet 34Bx2 MoE GGUF by TheBloke

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Base model:quantized:tomgrc/fu... Base model:tomgrc/fusionnet 34...   Conversational   En   Gguf   Mixtral   Moe   Quantized   Region:us

FusionNet 34Bx2 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").
FusionNet 34Bx2 MoE GGUF (TheBloke/FusionNet_34Bx2_MoE-GGUF)
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FusionNet 34Bx2 MoE GGUF Parameters and Internals

Model Type 
mixtral
Additional Notes 
Fine-tuned model on English language using MoE method. This model is fine-tuned to experiment with the MoE method, which could significantly increase performance.
LLM NameFusionNet 34Bx2 MoE GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/FusionNet_34Bx2_MoE-GGUF 
Model NameFusionNet 34Bx2 MoE
Model CreatorSuqin Zhang
Base Model(s)  FusionNet 34Bx2 MoE   TomGrc/FusionNet_34Bx2_MoE
Required VRAM22.4 GB
Updated2025-09-14
MaintainerTheBloke
Model Typemixtral
Model Files  22.4 GB   31.8 GB   29.2 GB   26.3 GB   34.3 GB   36.7 GB   34.6 GB   41.9 GB   43.1 GB   41.9 GB   49.9 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensemit

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/FusionNet_34Bx2_MoE-GGUF.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124