Mixtral 34Bx2 MoE 60B GPTQ by TheBloke

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Mixtral 34Bx2 MoE 60B GPTQ is an open-source language model by TheBloke. Features: 60.8b LLM, VRAM: 31.8GB, Context: 195K, License: cc-by-nc-4.0, MoE, Quantized, LLM Explorer Score: 0.11.

  4-bit Base model:cloudyu/mixtral 34b... Base model:quantized:cloudyu/m...   Gptq   Mixtral   Moe   Quantized   Region:us   Safetensors

Mixtral 34Bx2 MoE 60B GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral 34Bx2 MoE 60B GPTQ (TheBloke/Mixtral_34Bx2_MoE_60B-GPTQ)
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Mixtral 34Bx2 MoE 60B GPTQ Parameters and Internals

Model Type 
mixtral
Additional Notes 
Model quantized by TheBloke.
LLM NameMixtral 34Bx2 MoE 60B GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Mixtral_34Bx2_MoE_60B-GPTQ 
Model NameMixtral 34Bx2 MoE 60B
Model Creatorhai
Base Model(s)  Mixtral 34Bx2 MoE 60B   cloudyu/Mixtral_34Bx2_MoE_60B
Model Size60.8b
Required VRAM31.8 GB
Updated2026-04-07
MaintainerTheBloke
Model Typemixtral
Model Files  31.8 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length200000
Model Max Length200000
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size64000
Torch Data Typebfloat16

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...34Bx2 MoE V0.1 Full Linear DPO195K / 121.8 GB1062
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mixtral_34Bx2_MoE_60B-GPTQ.

Rank the Mixtral 34Bx2 MoE 60B 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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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a