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FusionNet 34Bx2 MoE GPTQ by TheBloke

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FusionNet 34Bx2 MoE GPTQ is an open-source language model by TheBloke. Features: 60.8b LLM, VRAM: 31.8GB, Context: 32K, License: mit, MoE, Quantized, LLM Explorer Score: 0.11.

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

FusionNet 34Bx2 MoE GPTQ Benchmarks

LLME Score: 0.11239
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 GPTQ (TheBloke/FusionNet_34Bx2_MoE-GPTQ)
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FusionNet 34Bx2 MoE GPTQ Parameters and Internals

Model Type 
mixtral
Supported Languages 
en (fine-tuned)
Input Output 
Input Format:
[INST] <> {system_message} <> {prompt} [/INST]
LLM NameFusionNet 34Bx2 MoE GPTQ
Repository 🤗https://huggingface.co/TheBloke/FusionNet_34Bx2_MoE-GPTQ 
Model NameFusionNet 34Bx2 MoE
Model CreatorSuqin Zhang
Base Model(s)  FusionNet 34Bx2 MoE   TomGrc/FusionNet_34Bx2_MoE
Model Size60.8b
Required VRAM31.8 GB
Updated2026-05-19
MaintainerTheBloke
Model Typemixtral
Model Files  31.8 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMixtralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size64000
Torch Data Typebfloat16

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

Rank the FusionNet 34Bx2 MoE GPTQ 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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