What are the hardware requirements for DeepSeek V3.1 NVFP4?

DeepSeek V3.1 NVFP4 requires approximately 103.5 GB of VRAM and supports a context window of 160K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DeepSeek V3.1 NVFP4 and how large is it?

DeepSeek V3.1 NVFP4 is developed by nvidia, a model with 393.6b 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 V3.1 NVFP4?

DeepSeek V3.1 NVFP4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek V3.1 NVFP4 by nvidia — VRAM 103.5GB, 160K context

Name: DeepSeek V3.1 NVFP4
Author: nvidia

DeepSeek V3.1 NVFP4 is an open-source language model by nvidia. Features: 393.6b LLM, VRAM: 103.5GB, Context: 160K, License: mit, LLM Explorer Score: 0.28.

8-bit Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Conversational Custom code Deepseek v3 Deepseekv3.1 Model optimizer Modelopt Nvfp4 Nvidia Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nvidia/DeepSeek-V3.1-NVFP4

DeepSeek V3.1 NVFP4 Parameters and Internals

LLM Name	DeepSeek V3.1 NVFP4
Repository 🤗	https://huggingface.co/nvidia/DeepSeek-V3.1-NVFP4
Base Model(s)	deepseek-ai/DeepSeek-V3.1 deepseek-ai/DeepSeek-V3.1
Model Size	393.6b
Required VRAM	103.5 GB
Updated	2026-08-01
Maintainer	nvidia
Model Type	deepseek_v3
Model Files	4.2 GB: 1-of-163 2.4 GB: 2-of-163 2.4 GB: 3-of-163 2.5 GB: 4-of-163 2.4 GB: 5-of-163 2.6 GB: 6-of-163 2.4 GB: 7-of-163 2.4 GB: 8-of-163 2.5 GB: 9-of-163 2.4 GB: 10-of-163 2.4 GB: 11-of-163 0.7 GB: 12-of-163 2.5 GB: 13-of-163 2.4 GB: 14-of-163 2.5 GB: 15-of-163 2.4 GB: 16-of-163 2.4 GB: 17-of-163 2.5 GB: 18-of-163 2.4 GB: 19-of-163 2.4 GB: 20-of-163 2.5 GB: 21-of-163 2.4 GB: 22-of-163 2.5 GB: 23-of-163 2.4 GB: 24-of-163 2.4 GB: 25-of-163 2.5 GB: 26-of-163 2.4 GB: 27-of-163 2.4 GB: 28-of-163 2.5 GB: 29-of-163 2.4 GB: 30-of-163 2.5 GB: 31-of-163 2.4 GB: 32-of-163 2.4 GB: 33-of-163 1.0 GB: 34-of-163 2.5 GB: 35-of-163 2.4 GB: 36-of-163 2.5 GB: 37-of-163 2.4 GB: 38-of-163 2.4 GB: 39-of-163 2.5 GB: 40-of-163 2.4 GB: 41-of-163 2.4 GB: 42-of-163 2.5 GB: 43-of-163
Model Architecture	DeepseekV3ForCausalLM
License	mit
Context Length	163840
Model Max Length	163840
Transformers Version	4.44.2
Vocabulary Size	129280
Torch Data Type	bfloat16

Rank the DeepSeek V3.1 NVFP4 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 V3.1 NVFP4

Best Alternatives	Context / RAM	Downloads	Likes
DeepSeek R1 0528 NVFP4 V2	160K / 103.5 GB	321229	23
DeepSeek R1 0528 FP4 V2	160K / 103.5 GB	70194	8
DeepSeek R1 NVFP4 V2	160K / 103.5 GB	417	8
DeepSeek R1 FP4 V2	160K / 103.5 GB	441	3

Note: green Score (e.g. "73.2") means that the model is better than nvidia/DeepSeek-V3.1-NVFP4.