AI正在发生 未来正在更新DeepSeek-V4.1-Flash-NVFP4
The NVIDIA DeepSeek-V4.1-Flash NVFP4 model is the quantized version of DeepSeek AI's DeepSeek-V4.1-Flash model, which is an auto-regressive language model that uses an optimized transformer architecture. DeepSeek-V4.1-Flash is a natively multimodal Mixture-of-Experts (MoE) model with a Causal Encoder-Decoder (CED) architecture, Compressed Sparse Attention 2 (CSA2), and support for contexts of up to one million tokens. For more information, please check here. The NVIDIA DeepSeek-V4.1-Flash NVFP4 model is quantized with Model Optimizer. This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party's requirements for this application and use case; see link to Non-NVIDIA (DeepSeek-V4.1-Flash) Model Card from DeepSeek AI. Developers looking to take off-the-shelf, pre-quantized models for deployment in AI Agent systems, chatbots, RAG systems, and other AI-powered applications.
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The NVIDIA DeepSeek-V4.1-Flash NVFP4 model is the quantized version of DeepSeek AI's DeepSeek-V4.1-Flash model, which is an auto-regressive language model that uses an optimized transformer architecture. DeepSeek-V4.1-Flash is a natively multimodal Mixture-of-Experts (MoE) model with a Causal Encoder-Decoder (CED) architecture, Compressed Sparse Attention 2 (CSA2), and support for contexts of up to one million tokens. For more information, please check here. The NVIDIA DeepSeek-V4.1-Flash NVFP4 model is quantized with Model Optimizer. This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party's requirements for this application and use case; see link to Non-NVIDIA (DeepSeek-V4.1-Flash) Model Card from DeepSeek AI. Developers looking to take off-the-shelf, pre-quantized models for deployment in AI Agent systems, chatbots, RAG systems, and other AI-powered applications.