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Synthia MoE V3 Mixtral 8x7B GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:migtissera/synthia-... Base model:quantized:migtisser...   Gptq   Mixtral   Moe   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Synthia-MoE-v3-Mixtral-8x7B-GPTQ 

Synthia MoE V3 Mixtral 8x7B GPTQ Benchmarks

LLME Score: 0.126
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 GPTQ (TheBloke/Synthia-MoE-v3-Mixtral-8x7B-GPTQ)
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Synthia MoE V3 Mixtral 8x7B GPTQ Parameters and Internals

Model Type 
mixtral
Input Output 
Input Format:
SYSTEM: 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 GPTQ
Repository 🤗https://huggingface.co/TheBloke/Synthia-MoE-v3-Mixtral-8x7B-GPTQ 
Model NameSynthia MoE v3 Mixtral 8x7B
Model CreatorMigel Tissera
Base Model(s)  Synthia MoE V3 Mixtral 8x7B   migtissera/Synthia-MoE-v3-Mixtral-8x7B
Model Size6.1b
Required VRAM23.8 GB
Updated2025-09-23
MaintainerTheBloke
Model Typemixtral
Model Files  23.8 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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

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Instruction Following and Task Automation  
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Release v20241124
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