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DeepSeek MoE 4X8B R1 Distill Llama 3.1 Mad Scientist 24B by DavidAU

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Model Card on HF 🤗: https://huggingface.co/DavidAU/DeepSeek-MOE-4X8B-R1-Distill-Llama-3.1-Mad-Scientist-24B 

DeepSeek MoE 4X8B R1 Distill Llama 3.1 Mad Scientist 24B Benchmarks

MMLU Pro: 21.88
GPQA: 11.63
MUSR: 11.79
BBH: 25.61
IFEval: 34.36 vs 88 (so35)-61%
MATH Lvl 5: 7.55
LLME Score: 0.25994
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DeepSeek MoE 4X8B R1 Distill Llama 3.1 Mad Scientist 24B (DavidAU/DeepSeek-MOE-4X8B-R1-Distill-Llama-3.1-Mad-Scientist-24B)
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DeepSeek MoE 4X8B R1 Distill Llama 3.1 Mad Scientist 24B Parameters and Internals

LLM NameDeepSeek MoE 4X8B R1 Distill Llama 3.1 Mad Scientist 24B
Repository 🤗https://huggingface.co/DavidAU/DeepSeek-MOE-4X8B-R1-Distill-Llama-3.1-Mad-Scientist-24B 
Model Size24.9b
Required VRAM50.1 GB
Updated2025-09-23
MaintainerDavidAU
Model Typemixtral
Model Files  4.9 GB: 1-of-11   5.0 GB: 2-of-11   4.9 GB: 3-of-11   5.0 GB: 4-of-11   5.0 GB: 5-of-11   4.9 GB: 6-of-11   5.0 GB: 7-of-11   5.0 GB: 8-of-11   4.9 GB: 9-of-11   4.4 GB: 10-of-11   1.1 GB: 11-of-11
Model ArchitectureMixtralForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassLlamaTokenizer
Padding Token<｜begin▁of▁sentence｜>
Vocabulary Size128256
Torch Data Typebfloat16

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v20241124
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