nvidia/DeepSeek-V4.1-Flash-1017-NVFP4
image-text-to-text model by nvidia
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Model card & documentation
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The NVIDIA DeepSeek-V4.1-Flash-1017 NVFP4 model is the quantized version of DeepSeek AI's DeepSeek-V4.1-Flash-1017 model, which is an auto-regressive language model that uses an optimized transformer architecture. DeepSeek-V4.1-Flash-1017 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-1017 NVFP4 model is quantized with Model Optimizer. This model is ready for commercial or non-commercial use. 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-1017) Model Card from DeepSeek AI. MIT Global Developers looking to take off-the-shelf, pre-quantized models for deployment in AI Agent systems, chatbots, RAG systems, and other AI-powered applications. Hugging Face 10/30/2026 via https://huggingface.co/nvidia/DeepSeek-V4.1-Flash-1017-NVFP4 NVIDIA Model Optimizer: https://github.com/NVIDIA/Model-Optimizer Architecture Type: Transformers…
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Model overview
nvidia/DeepSeek-V4.1-Flash-1017-NVFP4 is a image-text-to-text model repository published by nvidia on Hugging Face. The source reports the Model Optimizer library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- Model Optimizer
- Recent downloads (30 days)
- 715
- Cumulative likes
- 98
- Hugging Face trending score
- 97
- Reported safetensors parameters
- 664,898,390,994
- Architecture
- DeepseekV41ForCausalLM
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-30T17:37:02.000Z
- Last modified
- 2026-10-30T18:24:56.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: deepseek-ai/DeepSeek-V4.1-Flash-1017
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:30.141Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.