LLM local
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Ver o guia →llamafile é um projeto de LLM local de código aberto de mozilla-ai (mozilla-ai/llamafile no GitHub). Tem 26.164 estrelas no GitHub e 1.636 forks, é publicado sob a licença Unknown e foi atualizado pela última vez no GitHub em 1 de outubro 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
Os outros projetos de LLM local com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se llamafile não for o ideal para você.
The simplest way to run open language models on your own machine.
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LLM inference in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
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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
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.