North Micro Vision Instruct
Cohere Labs' 2.4B-parameter open-weight vision-language model built for native-resolution document understanding on edge hardware.
Overview
North Micro Vision Instruct is a 2.4-billion-parameter open-weight vision-language model released by Cohere Labs on August 12, 2026 under Apache 2.0. It combines a native-resolution vision encoder, a projector, and a compact language model to process images up to 1654x2339 pixels (A4 documents at 200 dpi) without downscaling, targeting document understanding, visual grounding, OCR, and multilingual chart/document reasoning small enough for local and edge deployment.
This is a sourced directory entry. Features and capabilities are reported in the linked sources; this entry does not document independent Aymorphic testing.
Key features
- 2.4B parameters, Apache 2.0 licensed weights
- Native-resolution vision encoder supports up to 1654x2339 px (A4 @ 200 dpi)
- Strong document understanding, visual grounding, and OCR performance
- Multilingual visual understanding across documents, charts, and natural images
- Fine-tuning support via NVIDIA AutoModel and Axolotl; MLX-VLM quantizations available
Use cases
- On-device or edge document OCR and understanding
- Multilingual chart and document question answering
- Fine-tuning a compact VLM for domain-specific visual tasks
Pricing
Free and open source (Apache 2.0); weights hosted on Hugging Face.
Pricing reflects the source record and may change. Confirm current terms with the provider.
Dates and sources
- Released
- 12 Aug 2026
- Record updated
- 23 Sept 2026
- Record last checked
- 23 Sept 2026