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Synthia MoE V3 Mixtral 8x7B by migtissera

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

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  Autotrain compatible   Endpoints compatible   Mixtral   Moe   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/migtissera/Synthia-MoE-v3-Mixtral-8x7B 

Synthia MoE V3 Mixtral 8x7B Benchmarks

LLME Score: 0.14577
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 (migtissera/Synthia-MoE-v3-Mixtral-8x7B)
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Synthia MoE V3 Mixtral 8x7B Parameters and Internals

Use Cases 
Primary Use Cases:
Answering complex questions with reasoning
Additional Notes 
Model might be overfitted due to higher learning rate, which is expected to be fixed in the next release.
Training Details 
Data Sources:
Synthia-v3.0 dataset
Data Volume:
~10K super high-quality GPT-4-Turbo generated samples
Methodology:
Trained on the Orca-2 principle of replacing the system context with one message. No system context included.
LLM NameSynthia MoE V3 Mixtral 8x7B
Repository 🤗https://huggingface.co/migtissera/Synthia-MoE-v3-Mixtral-8x7B 
Required VRAM93.6 GB
Updated2025-09-23
Maintainermigtissera
Model Typemixtral
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
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

Quantized Models of the Synthia MoE V3 Mixtral 8x7B

Model
Likes
Downloads
VRAM
...nthia MoE V3 Mixtral 8x7B GGUF2865115 GB
...ynthia MoE V3 Mixtral 8x7B AWQ2824 GB
...nthia MoE V3 Mixtral 8x7B GPTQ10723 GB

Best Alternatives to Synthia MoE V3 Mixtral 8x7B

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...ixtral 8x22B Instruct V0.1 FP864K / 140.9 GB980
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BiMediX Bi32K / 93.6 GB116585
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...eqlen 4096 Bs 4 Optimum 0 0 2332K /  GB70
...eqlen 4096 Bs 4 Optimum 0 0 2332K /  GB101
Empower Functions Medium32K / 93.6 GB71
Note: green Score (e.g. "73.2") means that the model is better than migtissera/Synthia-MoE-v3-Mixtral-8x7B.

Rank the Synthia MoE V3 Mixtral 8x7B 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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Release v20241124
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