LLM local
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★ 4,4k estrellasMIT
Ver la guía →llamafile es un proyecto de LLM local de código abierto de mozilla-ai (mozilla-ai/llamafile en GitHub). Tiene 26.164 estrellas en GitHub y 1.636 bifurcaciones, se publica bajo la licencia Unknown y se actualizó por última vez en GitHub el 1 de octubre de 2026.
Distribute and run LLMs with a single file.
One binary or app gets you a working local model setup.
Pick a size that fits your RAM/VRAM; smaller models run on laptops.
Use the built-in UI, or point OpenAI-compatible clients at it.
Airplane mode works — your prompts never leave the device.
RAG, tools, and agents build on the same base.
Smart compression runs big models on modest hardware.
Works on planes, in basements, behind firewalls.
Swap between hundreds of open models freely.
Existing tools plug in by changing one URL.
Ask questions over your PDFs, notes, and codebases.
Download the source and move into the project folder.
git clone https://github.com/mozilla-ai/llamafile.git
cd llamafileEvery 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 commandIt is an open-source project at mozilla-ai/llamafile with 1,636 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Licensed under Unknown — check the repo for commercial-use terms.
8B models run on 16GB RAM; bigger models want a real GPU.
A recent 8–32B instruct model is the sweet spot for most machines.
Yes — with no network calls, there's nothing to leak.
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Discover and run local AI apps, serving optimized LLMs from your own GPU and NPU.
Run local LLMs like Llama and DeepSeek right inside your web browser.
Run a 70B LLM on a single 4GB GPU — layer-by-layer inference with almost no memory tricks skipped
Los demás proyectos de LLM local con más estrellas del catálogo de LibreAI: la lista realista de alternativas si llamafile no es lo que buscas.
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User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
LLM inference in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
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Proyectos de LLM local cercanos en el catálogo, los más próximos en estrellas a llamafile: sigue explorando a ambos lados.
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Compile and run LLMs anywhere - phones, laptops, browsers and GPUs - with one engine
Run a 70B LLM on a single 4GB GPU — layer-by-layer inference with almost no memory tricks skipped
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Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.