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Mixtral 7Bx2 MoE by cloudyu

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Mixtral 7Bx2 MoE is an open-source language model by cloudyu. Features: 12.9b LLM, VRAM: 25.8GB, Context: 32K, License: cc-by-nc-4.0, MoE, HF Score: 73.4, LLM Explorer Score: 0.19, Arc: 71.3, HellaSwag: 87.5, MMLU: 65, TruthfulQA: 67.2, WinoGrande: 81.2, GSM8K: 68.5.

  Endpoints compatible   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cloudyu/Mixtral_7Bx2_MoE 

Mixtral 7Bx2 MoE Benchmarks

MMLU Pro: 22.71
GPQA: 7.38
MUSR: 14.64
BBH: 32.28
IFEval: 44.8 vs 88 (so35)-49.1%
ARC: 71.25 vs 96.7 (so35)-26.3%
HellaSwag: 87.45 vs 95.3 (gpt4)-8.2%
MMLU: 64.98 vs 88.3 (so35)-26.4%
TruthfulQA: 67.23 vs 59 (gpt4)13.9%
WinoGrande: 81.22 vs 87.5 (gpt4)-7.2%
GSM8K: 68.46 vs 96.4 (so35)-29%
MATH Lvl 5: 6.87
LLME Score: 0.1905
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 (cloudyu/Mixtral_7Bx2_MoE)
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Mixtral 7Bx2 MoE Parameters and Internals

Model Type 
text-generation
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameMixtral 7Bx2 MoE
Repository 🤗https://huggingface.co/cloudyu/Mixtral_7Bx2_MoE 
Model Size12.9b
Required VRAM25.8 GB
Updated2026-03-26
Maintainercloudyu
Model Typemixtral
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   5.9 GB: 3-of-3
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Mixtral 7Bx2 MoE

Model
Likes
Downloads
VRAM
Mixtral 7Bx2 MoE GGUF32644 GB
Mixtral 7Bx2 MoE GGUF247084 GB
Mixtral 7Bx2 MoE GPTQ887 GB
Mixtral 7Bx2 MoE AWQ287 GB

Best Alternatives to Mixtral 7Bx2 MoE

Best Alternatives
Context / RAM
Downloads
Likes
MixTAO 7Bx2 MoE V8.132K / 25.8 GB1929855
MixTAO 7Bx2 MoE V8.132K / 25.8 GB876052
Inf Silent Kunoichi V0.1 2x7B32K / 25.6 GB50
Inf Silent Kunoichi V0.2 2x7B32K / 25.6 GB101
LogoS 7Bx2 MoE 13B V0.232K / 25.9 GB769110
MultiMash8 13B Slerp32K / 25.7 GB50
MultiMash11 13B Slerp32K / 25.7 GB90
MultiMash9 13B Slerp32K / 25.7 GB50
MultiMash10 13B Slerp32K / 25.7 GB80
Multimash3 12B Slerp32K / 25.7 GB80
Note: green Score (e.g. "73.2") means that the model is better than cloudyu/Mixtral_7Bx2_MoE.

Rank the Mixtral 7Bx2 MoE 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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