LLM locaux
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Open-source AI sales OS — self-hosted CRM with native AI agents + WhatsApp (WAHA). Open alternative to Kommo, Octadesk & Intercom for any business that sells…
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Voir le guide →llamafile est un projet de LLM locaux open source, créé par mozilla-ai (mozilla-ai/llamafile sur GitHub). Il compte 26 164 étoiles sur GitHub et 1 636 forks, il est publié sous la licence Unknown et a été mis à jour pour la dernière fois sur GitHub le 1er octobre 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.
Open-source AI sales OS — self-hosted CRM with native AI agents + WhatsApp (WAHA). Open alternative to Kommo, Octadesk & Intercom for any business that sells…
LLM Agent Framework in ComfyUI includes MCP sever, Omost,GPT-sovits, ChatTTS,GOT-OCR2.0, and FLUX prompt nodes,access to Feishu,discord,and adapts to all llm…
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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
Les autres projets de la catégorie LLM locaux avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si llamafile ne vous convient pas.
The simplest way to run open language models on your own machine.
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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Projets de la catégorie LLM locaux proches dans le catalogue, les plus proches en étoiles de llamafile — continuez à explorer de part et d'autre.
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An open-source RAG-based tool for chatting with your documents.
Strata — one-click Qwen3.8-Flash-Next inference on consumer hardware: chat, code and images, locally, no account, MIT
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。
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.