What is NVIDIA DeepSeek R1 FP4?
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NVIDIA DeepSeek R1 FP4 is a quantized version of the DeepSeek R1 model, designed to enhance AI model efficiency through FP4 precision. It is optimized for inference performance, reducing operational costs while maintaining high accuracy, making it suitable for both commercial and non-commercial use.
NVIDIA DeepSeek R1 FP4 features include:
- **Architecture**: Transformers-based, with the DeepSeek R1 network architecture.
- **Quantization**: Reduced to FP4 precision, decreasing bits per parameter from 8 to 4, and reducing disk and GPU memory by approximately 1.6 times.
- **Context Length**: Supports up to 128,000 tokens.
- **Software and Hardware**: Supported by the TensorRT-LLM runtime engine, runs on NVIDIA Blackwell hardware, and uses the Linux operating system.
- **Optimization**: Optimized for the Blackwell architecture, using FP4 precision to significantly improve inference performance and reduce costs.
- **Performance Metrics**: Achieves 99.8% FP8 precision in the MMLU general intelligence benchmark, with inference speed increased by 25 times and costs reduced by 20 times.
NVIDIA DeepSeek R1 FP4 achieves 99.8% FP8 precision in the MMLU general intelligence benchmark. It increases inference speed by 25 times and reduces costs by 20 times, demonstrating significant efficiency improvements while maintaining high accuracy.