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UiharuMind
The project supports local GGUF models, avoiding a paid AI API when a compatible model is used.
UiharuMind
Free local app · model and hardware separate
What does it cost?
The listed option is free to use. Hosting or model usage may still cost money.
The Apache-2.0 application is free. GGUF weights are separate downloads with their own license and hardware needs. OpenAI-compatible remote providers are optional and can incur API charges. The project marks Linux support as work in progress; review release signing before installation. No model weights are bundled. A compatible local model such as Ollama's qwen2.5-coder:7b is listed under Apache-2.0 at 4.7GB; confirm model compatibility and its license separately. Hardware, model download/storage, and electricity remain user costs. Optional hosted or API inference may be billed.
Provider pricing checked 1 Nov 2026.
Installation and setup
- Read the official README and confirm the project’s current platform status; Linux support is marked work in progress.
- Use only the official release/build instructions for your operating system; review the project’s note about unsigned macOS builds.
- Download a compatible GGUF model and review its own license and hardware requirements before loading it.
- Test with local sample content before using private files or connecting an OpenAI-compatible service.
Local GGUF inference can avoid a paid API but requires model storage and suitable hardware. Optional provider paths are separate; macOS builds are not notarized in the checked source.
Self-hosting & quickstart specs
- License
- Apache-2.0
- Deployment
- Local desktop application
- Free edition / costs
- Free local application · model/hardware costs separate. The Apache-2.0 application is free. GGUF weights are separate downloads with their own license and hardware needs. OpenAI-compatible remote providers are optional and can incur API charges. The project marks Linux support as work in progress; review release signing before installation. No weights are bundled. The official Ollama qwen2.5-coder:7b listing states Apache-2.0 and 4.7GB; verify compatibility and model licensing separately. Local hardware, storage, download, and electricity still have costs. Optional remote inference can be billed. Pricing evidence.
- Devices / hardware
- Local GGUF inference can avoid a paid API but requires model storage and suitable hardware. Optional provider paths are separate; macOS builds are not notarized in the checked source.
No one-line command has been verified for UiharuMind; follow its official installation instructions instead of guessing a Docker image or installer.
UiharuMind provider setup documentationWhat can you use it for?
Source code and self-hosting
Read the repository for the license, installation steps, and operating costs.
Source repositoryView the full software profileLearn how to use this type of tool
Read a practical guide before choosing a plan or setting up a workflow.
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