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Synthia MoE V3 Mixtral 8x7B AWQ by TheBloke

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

Synthia MoE V3 Mixtral 8x7B AWQ Benchmarks

LLME Score: 0.12727
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 AWQ (TheBloke/Synthia-MoE-v3-Mixtral-8x7B-AWQ)
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Synthia MoE V3 Mixtral 8x7B AWQ Parameters and Internals

Model Type 
mixtral
Additional Notes 
The model is reportedly over-fitted due to a higher learning rate and this is expected to be addressed in future releases.
Training Details 
Data Sources:
Synthia-v3.0 dataset
Data Volume:
~10,000 samples
Methodology:
Trained using Tree-of-Thought, Chain-of-Thought techniques and other reasoning contexts
Context Length:
4096
Model Architecture:
Mixture of Experts (MoE) version - Mixtral
Input Output 
Input Format:
Tree of Thoughts and Chain of Thought reasoning prompt structure
Accepted Modalities:
text
Output Format:
cohesive, intelligent responses
LLM NameSynthia MoE V3 Mixtral 8x7B AWQ
Repository 🤗https://huggingface.co/TheBloke/Synthia-MoE-v3-Mixtral-8x7B-AWQ 
Model NameSynthia MoE v3 Mixtral 8x7B
Model CreatorMigel Tissera
Base Model(s)  Synthia MoE V3 Mixtral 8x7B   migtissera/Synthia-MoE-v3-Mixtral-8x7B
Model Size6.5b
Required VRAM24.7 GB
Updated2025-09-23
MaintainerTheBloke
Model Typemixtral
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   4.7 GB: 3-of-3
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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

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Release v20241124
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