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DeepSeek R1 0528 FP4 by nvidia

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Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a...   Conversational   Custom code   Deepseek v3   Deepseekr1   Fp4   Model optimizer   Modelopt   Nvidia   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/DeepSeek-R1-0528-FP4 

DeepSeek R1 0528 FP4 Benchmarks

LLME Score: 0.36462
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DeepSeek R1 0528 FP4 (nvidia/DeepSeek-R1-0528-FP4)
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DeepSeek R1 0528 FP4 Parameters and Internals

LLM NameDeepSeek R1 0528 FP4
Repository 🤗https://huggingface.co/nvidia/DeepSeek-R1-0528-FP4 
Base Model(s)  DeepSeek R1 0528   deepseek-ai/DeepSeek-R1-0528
Required VRAM107 GB
Updated2025-07-25
Maintainernvidia
Model Typedeepseek_v3
Model Files  4.8 GB: 1-of-163   2.4 GB: 2-of-163   2.4 GB: 3-of-163   2.7 GB: 4-of-163   2.4 GB: 5-of-163   2.7 GB: 6-of-163   2.4 GB: 7-of-163   2.4 GB: 8-of-163   2.7 GB: 9-of-163   2.4 GB: 10-of-163   2.4 GB: 11-of-163   0.7 GB: 12-of-163   2.7 GB: 13-of-163   2.4 GB: 14-of-163   2.7 GB: 15-of-163   2.4 GB: 16-of-163   2.4 GB: 17-of-163   2.7 GB: 18-of-163   2.4 GB: 19-of-163   2.4 GB: 20-of-163   2.7 GB: 21-of-163   2.4 GB: 22-of-163   2.7 GB: 23-of-163   2.4 GB: 24-of-163   2.4 GB: 25-of-163   2.7 GB: 26-of-163   2.4 GB: 27-of-163   2.4 GB: 28-of-163   2.7 GB: 29-of-163   2.4 GB: 30-of-163   2.7 GB: 31-of-163   2.4 GB: 32-of-163   2.4 GB: 33-of-163   1.0 GB: 34-of-163   2.7 GB: 35-of-163   2.4 GB: 36-of-163   2.7 GB: 37-of-163   2.4 GB: 38-of-163   2.4 GB: 39-of-163   2.7 GB: 40-of-163   2.4 GB: 41-of-163   2.4 GB: 42-of-163   2.7 GB: 43-of-163
Model ArchitectureDeepseekV3ForCausalLM
Licensemit
Context Length163840
Model Max Length163840
Transformers Version4.46.3
Vocabulary Size129280
Torch Data Typebfloat16

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DeepSeek V3 AWQ160K / 351.9 GB180934
Note: green Score (e.g. "73.2") means that the model is better than nvidia/DeepSeek-R1-0528-FP4.

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