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DeepSeek Grand Horror SMB R1 Distill Llama 3.1 16B by DavidAU

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  Autotrain compatible   Conversational   Endpoints compatible   Llama   Merge   Mergekit   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DavidAU/DeepSeek-Grand-Horror-SMB-R1-Distill-Llama-3.1-16B 

DeepSeek Grand Horror SMB R1 Distill Llama 3.1 16B Benchmarks

MMLU Pro: 18.99
GPQA: 8.5
MUSR: 10.29
BBH: 22.78
IFEval: 25.07 vs 88 (so35)-71.5%
MATH Lvl 5: 2.95
LLME Score: 0.24716
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DeepSeek Grand Horror SMB R1 Distill Llama 3.1 16B (DavidAU/DeepSeek-Grand-Horror-SMB-R1-Distill-Llama-3.1-16B)
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DeepSeek Grand Horror SMB R1 Distill Llama 3.1 16B Parameters and Internals

LLM NameDeepSeek Grand Horror SMB R1 Distill Llama 3.1 16B
Repository 🤗https://huggingface.co/DavidAU/DeepSeek-Grand-Horror-SMB-R1-Distill-Llama-3.1-16B 
Model Size16b
Required VRAM32 GB
Updated2025-09-23
MaintainerDavidAU
Model Typellama
Model Files  1.1 GB: 1-of-33   1.1 GB: 2-of-33   1.0 GB: 3-of-33   1.0 GB: 4-of-33   1.0 GB: 5-of-33   1.0 GB: 6-of-33   0.9 GB: 7-of-33   1.0 GB: 8-of-33   1.0 GB: 9-of-33   1.0 GB: 10-of-33   0.9 GB: 11-of-33   1.0 GB: 12-of-33   1.0 GB: 13-of-33   1.0 GB: 14-of-33   0.9 GB: 15-of-33   1.0 GB: 16-of-33   1.0 GB: 17-of-33   1.0 GB: 18-of-33   1.0 GB: 19-of-33   1.0 GB: 20-of-33   0.9 GB: 21-of-33   1.0 GB: 22-of-33   1.0 GB: 23-of-33   1.0 GB: 24-of-33   0.9 GB: 25-of-33   1.0 GB: 26-of-33   1.0 GB: 27-of-33   1.0 GB: 28-of-33   1.0 GB: 29-of-33   1.0 GB: 30-of-33   1.0 GB: 31-of-33   1.0 GB: 32-of-33   0.3 GB: 33-of-33
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.43.0.dev0
Tokenizer ClassLlamaTokenizerFast
Beginning of Sentence Token<｜begin▁of▁sentence｜>
End of Sentence Token<｜end▁of▁sentence｜>
Vocabulary Size128256
Torch Data Typebfloat16

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Rank the DeepSeek Grand Horror SMB R1 Distill Llama 3.1 16B Capabilities

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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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