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Synthia MoE V3 Mixtral 8x7B GGUF by TheBloke

 »  All LLMs  »  TheBloke  »  Synthia MoE V3 Mixtral 8x7B GGUF   URL Share it on

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Base model:migtissera/synthia-... Base model:quantized:migtisser...   Gguf   Mixtral   Moe   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/Synthia-MoE-v3-Mixtral-8x7B-GGUF 

Synthia MoE V3 Mixtral 8x7B GGUF Benchmarks

LLME Score: 0.13674
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Synthia MoE V3 Mixtral 8x7B GGUF (TheBloke/Synthia-MoE-v3-Mixtral-8x7B-GGUF)
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Synthia MoE V3 Mixtral 8x7B GGUF Parameters and Internals

Model Type 
mixtral
Additional Notes 
Quantized by TheBloke, using various quantization methods for CPU+GPU inference.
Input Output 
Input Format:
Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation. USER: {prompt} ASSISTANT:
LLM NameSynthia MoE V3 Mixtral 8x7B GGUF
Repository 🤗https://huggingface.co/TheBloke/Synthia-MoE-v3-Mixtral-8x7B-GGUF 
Model NameSynthia MoE v3 Mixtral 8x7B
Model CreatorMigel Tissera
Base Model(s)  Synthia MoE V3 Mixtral 8x7B   migtissera/Synthia-MoE-v3-Mixtral-8x7B
Required VRAM15.6 GB
Updated2025-09-23
MaintainerTheBloke
Model Typemixtral
Model Files  15.6 GB   20.4 GB   26.4 GB   26.4 GB   32.2 GB   32.2 GB   38.4 GB   49.6 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Synthia-MoE-v3-Mixtral-8x7B-GGUF.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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