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FusionNet 34Bx2 MoE GGUF by TheBloke

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FusionNet 34Bx2 MoE GGUF is an open-source language model by TheBloke. Features: LLM, VRAM: 22.4GB, License: mit, MoE, Quantized, LLM Explorer Score: 0.12.

Base model:quantized:tomgrc/fu... Base model:tomgrc/fusionnet 34...   Conversational   En   Gguf   Mixtral   Moe   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/FusionNet_34Bx2_MoE-GGUF 

FusionNet 34Bx2 MoE GGUF Benchmarks

LLME Score: 0.11858
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 🤗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
Updated2026-05-24
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.

Rank the FusionNet 34Bx2 MoE GGUF 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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