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CanIRun.ai

Detect your hardware and see which open AI models you can run locally.

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For agents: Detects your hardware and shows which open AI models (LLMs, coding, image, video) you can run locally, with filterable catalog, VRAM guides and docs.

local llmhardware detectiongpu vramopen ai modelsquantizationgguf

Authority
51 reach 10 · trust 5 · quality 21 · freshness 15
Tier
listed
llms.txt
https://www.canirun.ai/llms.txt
Sections
3
Links
15
Size
1262 bytes
Popularity rank
#287677
Categories
AI and machine learning
For agents
Documentation: developer or product docs worth reading, nothing to call
Audience
mixed · agents can: search content, read docs · en
First seen
2026-10-19T10:41:06.200Z
Last checked
2026-10-19T23:31:37.265Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-22T17:19:10.722Z. Cached copy · Source on canirun.ai

# CanIRun.ai

> Detect your hardware and see which open AI models you can run locally.

CanIRun.ai grades open-weight chat, coding, image and video models against your GPU, Apple Silicon or other device. Scores use estimated speed, VRAM headroom and model quality.

## Start here

- [Can I run AI locally?](https://canirun.ai/): Best-pick models for the detected machine
- [Local AI models you can run](https://canirun.ai/models): Full filterable catalog
- [Local AI models by device](https://canirun.ai/devices): RTX, Radeon, Intel Arc, Apple Silicon, phones, Raspberry Pi
- [How detection works](https://canirun.ai/why): Hardware APIs and scoring
- [Docs](https://canirun.ai/docs): Quantization, VRAM, MoE, GGUF

## Browse by task

- [Local LLMs](https://canirun.ai/models/chat)
- [Local coding models](https://canirun.ai/models/coding)
- [Local image generation](https://canirun.ai/models/image)
- [Local video generation](https://canirun.ai/models/video)
- [Small on-device LLMs](https://canirun.ai/models/lightweight)

## Browse by VRAM

- [8GB VRAM](https://canirun.ai/vram/8gb)
- [12GB VRAM](https://canirun.ai/vram/12gb)
- [16GB VRAM](https://canirun.ai/vram/16gb)
- [24GB VRAM](https://canirun.ai/vram/24gb)
- [32GB+ VRAM](https://canirun.ai/vram/32gb)

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