Overview

Plain English

Efficient open-source vision-language model with MoE architecture for scientific reasoning and edge-ready deployment.

Technical

Efficient open-source vision-language model with MoE architecture for scientific reasoning and edge-ready deployment.

Technical scorecard

License MIT

Commercial use Yes

OpenAI-compatible API No

REST API No

Fine-tuning support No

Quantization support No

Docker available No

GUI / no-code available No

Telemetry None

Offline after setup Yes

Data & Privacy

After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.

Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.

Commercial use is marked as allowed or likely allowed by the listed license.

None

Last verified: Apr 15, 2026. Maintainer verification should be treated as directory guidance, not legal advice.

Setup & Installation

Low

GUI, low-resource, or simple install path likely available.

Python, Docker, Bare Metal

# Start with the official project documentation
# https://github.com/deepseek-ai/DeepSeek-VL2

Hardware Requirements

RAM8 GB minimum / 16 GB recommended

Hardware tagsCPU Only, NVIDIA GPU (CUDA), Low-resource (< 8GB RAM)

Model formatsNot specified

Primary languagePython

Works Well With

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