What are the hardware requirements for North Micro Vision Instruct 4bit?

North Micro Vision Instruct 4bit requires approximately 2.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed North Micro Vision Instruct 4bit and how large is it?

North Micro Vision Instruct 4bit is developed by mlx-community, a model with 842.8m 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 North Micro Vision Instruct 4bit?

North Micro Vision Instruct 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

North Micro Vision Instruct 4bit by mlx-community — VRAM 2.2GB

Name: North Micro Vision Instruct 4bit
Author: mlx-community

North Micro Vision Instruct 4bit is an open-source language model by mlx-community. Features: 842.8m LLM, VRAM: 2.2GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.27.

4-bit 4bit Base model:coherelabs/north-mi... Base model:quantized:coherelab... Cohere Cohere compass Conversational En Image-text-to-text Instruct Mlx Mlx-vlm Multimodal North Quantized Region:us Safetensors Vision Vision-language

Model Card on HF 🤗: https://huggingface.co/mlx-community/North-Micro-Vision-Instruct-4bit

North Micro Vision Instruct 4bit Parameters and Internals

LLM Name	North Micro Vision Instruct 4bit
Repository 🤗	https://huggingface.co/mlx-community/North-Micro-Vision-Instruct-4bit
Base Model(s)	North Micro Vision Instruct CohereLabs/North-Micro-Vision-Instruct
Model Size	842.8m
Required VRAM	2.2 GB
Updated	2026-08-25
Maintainer	mlx-community
Model Type	cohere_compass
Instruction-Based	Yes
Model Files	2.2 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	CohereCompassForConditionalGeneration
License	apache-2.0
Transformers Version	5.15.0.dev0
Tokenizer Class	CohereTokenizer
Padding Token	<PAD>
Errors	replace

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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