LLM local
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Run and fine-tune LLMs and diffusion models locally — faster training, smaller memory footprint.
★ 77,2k estrellasApache-2.0
Ver la guía →ai-file-sorter es un proyecto de LLM local de código abierto de hyperfield (hyperfield/ai-file-sorter en GitHub). Tiene 1.793 estrellas en GitHub y 184 bifurcaciones, se publica bajo la licencia AGPL-3.0 y se actualizó por última vez en GitHub el 4 de octubre de 2026.
AI file organizer that sorts and renames files by understanding content.
Get the desktop build for your OS.
Choose the messy directory to organize.
Review the AI's sort and rename plan.
Approve and let it organize, fully under your control.
Understands files, not just filenames.
Choose private or powerful models.
Nothing moves without your approval.
You stay in charge of every change.
Desktop app for major operating systems.
Names files by what they contain.
Download the source and move into the project folder.
git clone https://github.com/hyperfield/ai-file-sorter.git
cd ai-file-sorterEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandNo, preview-based workflows mean you approve every change.
Commercial use is allowed, but network use of modified versions requires sharing source.
Yes, both local and remote LLMs are supported.
It is a cross-platform desktop app; check releases for your OS.
Content-aware organization covers file contents; check the docs for formats.
Run and fine-tune LLMs and diffusion models locally — faster training, smaller memory footprint.
The simplest way to run open language models on your own machine.
Quantization, kernels, runtime and inference engine for mobiles, wearables, smart home and robots
Distribute and run LLMs with a single file.
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The simplest way to run open language models on your own machine.
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Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.