Cohere's North Micro Vision: a small open-source vision model for documents

Melvin Vivas · X post · 2026-08-13 · Open on X

Topics: LLM Fundamentals, Industry Trends & Job Market · Level: beginner

Summary

Cohere released North Micro Vision, its smallest vision-language model so far. It is built for document understanding and is open-source under Apache 2.0. The weights are on Hugging Face, so you can try it locally.

Key points

• North Micro Vision is Cohere's smallest vision-language model (VLM) so far.
• It is aimed at document understanding tasks.
• It is released open-source under the Apache 2.0 license, which allows commercial use.
• The model weights can be downloaded from Hugging Face.

Resources mentioned

• Cohere · person · x.com · free · recommended by both Bashiri Smith & Melvin Vivas
  AI company that builds language, embedding and reranking models, and now the Transcribe speech-recognition model.
  Also in: Basic RAG Pipeline in 60 Seconds: From Documents to Grounded Answers (Bashiri Smith on Facebook · notes), Cohere Parse Beats Frontier LLMs at Receipt Parsing (Melvin Vivas on X · notes), Cohere Parse: Pricing vs Parse Bench Score (Melvin Vivas on X · notes), Local Audio Transcription with Cohere Transcribe on WebGPU (Melvin Vivas on X · notes) and 1 more
• North Micro Vision · tool · huggingface.co · free
  Cohere's smallest open-source vision-language model, built for document understanding.
• Hugging Face · website · x.com · free · recommended by both Bashiri Smith & Melvin Vivas
  Platform for hosting and finding ML models, datasets and papers. The quoted post says LocateAnything was trending there.
  Also in: Using an ML agent to train an open-source TTS model on your voice (Melvin Vivas on X · notes), Deploy Open-Source Models with Hugging Face Inference Endpoints (Melvin Vivas on X · notes), Deploying Qwen3.8 27B on Hugging Face Inference Endpoints (Melvin Vivas on X · notes), Using Hugging Face credits: Jobs, Inference Endpoints and Open Models (Melvin Vivas on X · notes) and 38 more

Try this

• Download the North Micro Vision weights from Hugging Face and try them on document-understanding tasks.