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BurningBruce SOLAR 8x10.7B Bf16 by Kquant03

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  Arxiv:2101.03961   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Merge   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Kquant03/BurningBruce-SOLAR-8x10.7B-bf16 

BurningBruce SOLAR 8x10.7B Bf16 Benchmarks

ARC: 69.11 vs 96.7 (so35)-28.5%
HellaSwag: 87.81 vs 95.3 (gpt4)-7.9%
MMLU: 66.27 vs 88.3 (so35)-24.9%
TruthfulQA: 68.67 vs 59 (gpt4)16.4%
WinoGrande: 83.35 vs 87.5 (gpt4)-4.7%
GSM8K: 64.14 vs 96.4 (so35)-33.5%
LLME Score: 0.15574
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BurningBruce SOLAR 8x10.7B Bf16 (Kquant03/BurningBruce-SOLAR-8x10.7B-bf16)
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BurningBruce SOLAR 8x10.7B Bf16 Parameters and Internals

Model Type 
Mixture of Experts (MoE)
Use Cases 
Primary Use Cases:
Efficient large-scale model pretraining
Limitations:
High VRAM demand
Additional Notes 
The model uses a mixture of experts architecture for efficient compute usage.
Supported Languages 
en (English)
LLM NameBurningBruce SOLAR 8x10.7B Bf16
Repository 🤗https://huggingface.co/Kquant03/BurningBruce-SOLAR-8x10.7B-bf16 
Model Size69.9b
Required VRAM140 GB
Updated2025-09-23
MaintainerKquant03
Model Typemixtral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-15   10.0 GB: 2-of-15   10.0 GB: 3-of-15   10.0 GB: 4-of-15   10.0 GB: 5-of-15   10.0 GB: 6-of-15   10.0 GB: 7-of-15   10.0 GB: 8-of-15   10.0 GB: 9-of-15   10.0 GB: 10-of-15   10.0 GB: 11-of-15   10.0 GB: 12-of-15   10.0 GB: 13-of-15   10.0 GB: 14-of-15   0.1 GB: 15-of-15
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat16

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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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