DeepSeek V4.1 Flash
Model ID: vllm/release/deepseek-v41-flash DeepSeek Experimental
EU AI Act
Section titled “EU AI Act”| Attribute | Value |
|---|---|
| Classification | GPAI (General-Purpose AI Model) |
| Risk class | Limited Risk (Article 50) |
| Transparency obligation | Yes |
| noris role | Distributor |
As a GPAI model, this model falls within the scope of the EU AI Act transparency obligations. noris acts as a distributor and makes the model developer’s information available pursuant to Article 53(2) and (3).
Technical Specifications
Section titled “Technical Specifications”| Property | Value |
|---|---|
| Model name | DeepSeek V4.1 Flash |
| Provider | DeepSeek |
| Model ID | vllm/release/deepseek-v41-flash |
| Parameters | 552B backbone (MoE), 8B active during prefill, 16B during decode, plus 196B Engram |
| Architecture | Causal encoder-decoder MoE with Compressed Sparse Attention 2 (CSA2) |
| Context length | 1,048,576 tokens |
| Modalities | Text + image (multimodal) |
| Checkpoint | NVFP4, quantized with NVIDIA Model Optimizer |
| License | MIT |
Recommended Use Cases
Section titled “Recommended Use Cases”- AI agents and long-running tasks (Terminal-Bench 2.1: 82.2%)
- Chatbots and assistants
- RAG systems
- Very-long-document analysis (1M context)
- Image understanding (scientific charts, MMMU-Pro: 73.7%)
Known Limitations
Section titled “Known Limitations”Risk Assessment (EU AI Act)
Section titled “Risk Assessment (EU AI Act)”| Risk Factor | Category | Level |
|---|---|---|
| Model size | Deepfake potential | Medium |
| Multimodal | Image input | Medium |
| Open source (MIT) | Misuse potential | Low |
| Experimental tier | Deprecation notice | Flagged |
| Environmental impact | Model size (552B backbone) | Medium-High |
Training Data & Sustainability
Section titled “Training Data & Sustainability”Training data: not fully publicly documented, see the base model card. The NVFP4 checkpoint was calibrated with cnn_dailymail and the Nemotron-Post-Training-Dataset-v2.
Sustainability:
| Metric | Value |
|---|---|
| CO₂ | High (552B backbone) |
| Optimization | only 8B (prefill) resp. 16B (decode) active parameters despite the large expert pool |
Original Sources
Section titled “Original Sources”- Base model: https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash
- NVFP4 checkpoint: https://huggingface.co/nvidia/DeepSeek-V4.1-Flash-NVFP4
- License: MIT License
Model card created on October 7, 2026. This model card serves EU AI Act transparency purposes (Regulation (EU) 2024/1689). The information is based on publicly available data from the model provider.
