MODEL PROFILE

North-Micro-Vision-Instruct

Cohere · North-Micro-Vision-Instruct

North Micro Vision Instruct is a 2.4B-parameter open-weight vision-language model with native-resolution image support, released under the Apache 2.0 license. It is designed as a compact foundation for prototyping, task-specific fine-tuning, and specialized multimodal applications. > **Technical deep dive:** Read the North Micro Vision technical blog post for architecture, training, and evaluation details. - Native-resolution image processing that preserves aspect ratios and fine visual detail. - Broad image-understanding capabilities across VQA, captioning, grounding, OCR, charts, and documents. - Multilingual and multi-image support. - Compact 2.4B-parameter scale suited to customization and deployment experimentation. - Apache 2.0-licensed model weights.

Visual QAmultimodallicense:apache-2.0
Context windowNot disclosed
Input → OutputText、Image → Text
Model weightsNot verified
Profile updated2026/10/31 05:51:40
OVERVIEW

Model overview

North Micro Vision Instruct is a 2.4B-parameter open-weight vision-language model with native-resolution image support, released under the Apache 2.0 license. It is designed as a compact foundation for prototyping, task-specific fine-tuning, and specialized multimodal applications. > **Technical deep dive:** Read the North Micro Vision technical blog post for architecture, training, and evaluation details. - Native-resolution image processing that preserves aspect ratios and fine visual detail. - Broad image-understanding capabilities across VQA, captioning, grounding, OCR, charts, and documents. - Multilingual and multi-image support. - Compact 2.4B-parameter scale suited to customization and deployment experimentation. - Apache 2.0-licensed model weights.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

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Estimate monthly base token costs

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

Do open weights permit free commercial use?

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。