What are the hardware requirements for Deepseek Vl2 Small?

Deepseek Vl2 Small requires approximately 32.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Deepseek Vl2 Small and how large is it?

Deepseek Vl2 Small is developed by deepseek-ai, a model with 16.1b 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 Vl2 Small?

Deepseek Vl2 Small is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Deepseek Vl2 Small by deepseek-ai — VRAM 32.3GB

Name: Deepseek Vl2 Small
Author: deepseek-ai

Deepseek Vl2 Small is an open-source language model by deepseek-ai. Features: 16.1b LLM, VRAM: 32.3GB, License: other.

Arxiv:2412.10302 Conversational Deepseek vl v2 Endpoints compatible Image-text-to-text Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/deepseek-ai/deepseek-vl2-small

Deepseek Vl2 Small Parameters and Internals

LLM Name	Deepseek Vl2 Small
Repository 🤗	https://huggingface.co/deepseek-ai/deepseek-vl2-small
Model Size	16.1b
Required VRAM	32.3 GB
Updated	2026-08-10
Maintainer	deepseek-ai
Model Type	deepseek_vl_v2
Model Files	8.6 GB: 1-of-4 8.6 GB: 2-of-4 8.6 GB: 3-of-4 6.5 GB: 4-of-4
Model Architecture	AutoModel
License	other
Model Max Length	100000000
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	<｜▁pad▁｜>
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