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Smartsolmix 4x10.7B V1 by vihangd

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  Autotrain compatible   Endpoints compatible   Merge   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/vihangd/smartsolmix-4x10.7b-v1 

Smartsolmix 4x10.7B V1 Benchmarks

ARC: 64.93 vs 96.7 (so35)-32.9%
HellaSwag: 85.13 vs 95.3 (gpt4)-10.7%
MMLU: 66.1 vs 88.3 (so35)-25.1%
TruthfulQA: 55.03 vs 59 (gpt4)-6.7%
WinoGrande: 83.43 vs 87.5 (gpt4)-4.7%
GSM8K: 59.44 vs 96.4 (so35)-38.3%
LLME Score: 0.15928
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Smartsolmix 4x10.7B V1 (vihangd/smartsolmix-4x10.7b-v1)
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Smartsolmix 4x10.7B V1 Parameters and Internals

Additional Notes 
An experimental mixture of experts (MOE) model combining various 10.7b models using mergekit.
LLM NameSmartsolmix 4x10.7B V1
Repository 🤗https://huggingface.co/vihangd/smartsolmix-4x10.7b-v1 
Model Size36.1b
Required VRAM72.3 GB
Updated2025-09-23
Maintainervihangd
Model Typemixtral
Model Files  9.9 GB: 1-of-8   10.0 GB: 2-of-8   10.0 GB: 3-of-8   10.0 GB: 4-of-8   10.0 GB: 5-of-8   10.0 GB: 6-of-8   10.0 GB: 7-of-8   2.4 GB: 8-of-8
Model ArchitectureMixtralForCausalLM
Licensecc-by-4.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
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 vihangd/smartsolmix-4x10.7b-v1.

Rank the Smartsolmix 4x10.7B V1 Capabilities

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