What are the hardware requirements for DeepSeek V4 Flash Vision Exp?

DeepSeek V4 Flash Vision Exp requires approximately 146 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DeepSeek V4 Flash Vision Exp and how large is it?

DeepSeek V4 Flash Vision Exp is developed by deepseek-ai, a model with 304.6b 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 V4 Flash Vision Exp?

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

DeepSeek V4 Flash Vision Exp by deepseek-ai — VRAM 146GB, 1024K context

Name: DeepSeek V4 Flash Vision Exp
Author: deepseek-ai

DeepSeek V4 Flash Vision Exp is an open-source language model by deepseek-ai. Features: 304.6b LLM, VRAM: 146GB, Context: 1024K, License: mit, LLM Explorer Score: 0.43.

8-bit Deepseek v4 Endpoints compatible Eval-results Fp8 Image-text-to-text Region:us Safetensors Sharded Tensorflow Vision

Model Card on HF 🤗: https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp

DeepSeek V4 Flash Vision Exp Parameters and Internals

LLM Name	DeepSeek V4 Flash Vision Exp
Repository 🤗	https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp
Model Size	304.6b
Required VRAM	146 GB
Updated	2026-09-01
Maintainer	deepseek-ai
Model Type	deepseek_v4
Model Files	2.0 GB: 1-of-48 3.6 GB: 2-of-48 3.6 GB: 3-of-48 3.6 GB: 4-of-48 3.6 GB: 5-of-48 3.6 GB: 6-of-48 3.6 GB: 7-of-48 3.6 GB: 8-of-48 3.6 GB: 9-of-48 3.6 GB: 10-of-48 3.6 GB: 11-of-48 3.6 GB: 12-of-48 3.6 GB: 13-of-48 3.6 GB: 14-of-48 3.6 GB: 15-of-48 3.6 GB: 16-of-48 3.6 GB: 17-of-48 3.6 GB: 18-of-48 3.6 GB: 19-of-48 3.6 GB: 20-of-48 3.6 GB: 21-of-48 3.6 GB: 22-of-48 3.6 GB: 23-of-48 3.6 GB: 24-of-48 3.6 GB: 25-of-48 3.6 GB: 26-of-48 3.6 GB: 27-of-48 3.6 GB: 28-of-48 3.6 GB: 29-of-48 3.6 GB: 30-of-48 3.6 GB: 31-of-48 3.6 GB: 32-of-48 3.6 GB: 33-of-48 3.6 GB: 34-of-48 3.6 GB: 35-of-48 3.6 GB: 36-of-48 3.6 GB: 37-of-48 3.6 GB: 38-of-48 3.6 GB: 39-of-48 3.6 GB: 40-of-48 3.6 GB: 41-of-48
Model Architecture	DeepseekV4ForCausalLM
License	mit
Context Length	1048576
Model Max Length	1048576
Transformers Version	5.0.0
Vocabulary Size	129280
Torch Data Type	bfloat16

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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

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