sulphur-2-base

Updated
10.06.2026
Thinking
Embedding

A compact 1B vision-language model from OpenBMB that runs image-text-to-text tasks fully on-device, tuned for fast inference on consumer laptops.

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At a glance

  • License: Apache 2.0 — free for commercial use
  • Context length: 128K tokens
  • Languages: 29 languages, English-optimized
  • Minimum hardware: 16 GB RAM, runs on Apple Silicon
  • Strengths: reasoning, coding and multilingual document understanding
Desktop
macOS
(M1 or better)
Download
Windows
(x64)
Download
Linux
(x86_64)
Download

Frequently asked questions

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