What are the hardware requirements for DeepSeek V4.1 Flash NVFP4 Nvidia?

DeepSeek V4.1 Flash NVFP4 Nvidia requires approximately 298.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DeepSeek V4.1 Flash NVFP4 Nvidia and how large is it?

DeepSeek V4.1 Flash NVFP4 Nvidia is developed by AtomicChat, a model with 763.2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate DeepSeek V4.1 Flash NVFP4 Nvidia?

DeepSeek V4.1 Flash NVFP4 Nvidia is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek V4.1 Flash NVFP4 Nvidia by AtomicChat — VRAM 298.7GB

Name: DeepSeek V4.1 Flash NVFP4 Nvidia
Author: AtomicChat

DeepSeek V4.1 Flash NVFP4 Nvidia is an open-source language model by AtomicChat. Features: 763.2b LLM, VRAM: 298.7GB, License: mit.

8-bit Atomic-chat Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Blackwell Deepseek Deepseek-v4.1 Deepseek v41 Fp8 Modelopt Nvfp4 Quantized Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/AtomicChat/DeepSeek-V4.1-Flash-NVFP4-nvidia

DeepSeek V4.1 Flash NVFP4 Nvidia Parameters and Internals

LLM Name	DeepSeek V4.1 Flash NVFP4 Nvidia
Repository 🤗	https://huggingface.co/AtomicChat/DeepSeek-V4.1-Flash-NVFP4-nvidia
Base Model(s)	deepseek-ai/DeepSeek-V4.1-Flash deepseek-ai/DeepSeek-V4.1-Flash
Model Size	763.2b
Required VRAM	298.7 GB
Updated	2026-09-13
Maintainer	AtomicChat
Model Type	deepseek_v41
Model Files	1.0 GB: 1-of-48 1.3 GB: 2-of-48 7.8 GB: 3-of-48 7.8 GB: 4-of-48 7.8 GB: 5-of-48 7.8 GB: 6-of-48 7.8 GB: 7-of-48 7.8 GB: 8-of-48 7.8 GB: 9-of-48 7.8 GB: 10-of-48 7.8 GB: 11-of-48 7.8 GB: 12-of-48 7.8 GB: 13-of-48 7.8 GB: 14-of-48 7.8 GB: 15-of-48 7.8 GB: 16-of-48 7.8 GB: 17-of-48 7.8 GB: 18-of-48 7.8 GB: 19-of-48 7.8 GB: 20-of-48 7.8 GB: 21-of-48 7.8 GB: 22-of-48 7.8 GB: 23-of-48 7.8 GB: 24-of-48 7.8 GB: 25-of-48 7.8 GB: 26-of-48 7.8 GB: 27-of-48 7.8 GB: 28-of-48 7.8 GB: 29-of-48 7.8 GB: 30-of-48 7.8 GB: 31-of-48 7.8 GB: 32-of-48 7.8 GB: 33-of-48 7.8 GB: 34-of-48 7.8 GB: 35-of-48 7.8 GB: 36-of-48 7.8 GB: 37-of-48 7.8 GB: 38-of-48 7.8 GB: 39-of-48 7.8 GB: 40-of-48
Model Architecture	DeepseekV41ForCausalLM
License	mit
Transformers Version	5.6.0

Rank the DeepSeek V4.1 Flash NVFP4 Nvidia capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to DeepSeek V4.1 Flash NVFP4 Nvidia

Best Alternatives	Context / RAM	Downloads	Likes
DeepSeek V4.1 Flash	0K / 290.9 GB	75774	1760
...eepSeek V4.1 Flash Abliterated	0K / 302.2 GB	273	3
...epSeek V4.1 Flash MLX 2bit MTP	0K / 175.6 GB	2545	5
...Seek V4.1 Flash UNCENSORED FP8	0K / 307.5 GB	2254	103
DeepSeek V4.1 Flash FP8 GGUF	0K / 283.5 GB	6707	2

Note: green Score (e.g. "73.2") means that the model is better than AtomicChat/DeepSeek-V4.1-Flash-NVFP4-nvidia.