# State of Open Models: Summer 2026 Observations

DevFeed: [State of Open Models: Summer 2026 Observations](<https://devfeed.tech/articles/state-of-open-models-summer-2026-observations-7490.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/state-of-open-models-summer-2026>)

Author: Adina Yakefu; Apolinário from multimodal AI art; Irene Solaiman

Published: 2026-08-14T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [quantization](<https://devfeed.tech/topics/quantization.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [spaces](<https://devfeed.tech/topics/spaces.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [Nemotron](<https://devfeed.tech/topics/nemotron.md>), [qwen](<https://devfeed.tech/topics/qwen.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [API](<https://devfeed.tech/topics/api.md>)

Tags: [api](<https://devfeed.tech/tags/api.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [community](<https://devfeed.tech/tags/community.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [hub](<https://devfeed.tech/tags/hub.md>), [nemotron](<https://devfeed.tech/tags/nemotron.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [quantization](<https://devfeed.tech/tags/quantization.md>), [qwen](<https://devfeed.tech/tags/qwen.md>), [research](<https://devfeed.tech/tags/research.md>), [spaces](<https://devfeed.tech/tags/spaces.md>)

## AI overview

This article examines the summer 2026 state of open models, highlighting rapid growth in public model repositories, datasets, and Spaces; the dominance of a small number of repositories in downloads; the rising scale of Chinese open models; differing model portfolio strategies; and the strong role of AMD, NVIDIA, and community quantization in making large models accessible.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.