
Pico AI Server and Pico AI Studio
@PicoGPT
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The easiest to install and use free open source and local AI on Apple Silicon. Fully Ollama and OpenAI-compatible. Built on MLX
San Francisco, CA
Joined December 2022
Download Pico AI server from the Mac App Store for free here: .
apps.apple.com
Private LLM and VLM in 60 seconds. Turn any Apple-silicon Mac into a zero-setup, enterprise-ready AI server. One download gives your team a web chat interface, and 300 + free state-of-the-art...
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Download Pico AI Server for free on the Mac App Store:
apps.apple.com
Private LLM and VLM in 60 seconds. Turn any Apple-silicon Mac into a zero-setup, enterprise-ready AI server. One download gives your team a web chat interface, and 300 + free state-of-the-art...
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Pico AI Server 1.2.12 with Jan v1 support is now available in the Mac App Store:
apps.apple.com
Private LLM and VLM in 60 seconds. Turn any Apple-silicon Mac into a zero-setup, enterprise-ready AI server. One download gives your team a web chat interface, and 300 + free state-of-the-art...
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Download Pico Private AI Server here and run GPT-oss, DeepSeek, Qwen, Llama, Gemma 3, and more on your own local network. 100% private.
apps.apple.com
Private LLM and VLM in 60 seconds. Turn any Apple-silicon Mac into a zero-setup, enterprise-ready AI server. One download gives your team a web chat interface, and 300 + free state-of-the-art...
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RT @alandao_ai: Jan-v1: a 4B model optimized for search use cases 😍. This model is specifically designed for search-related tasks and has b….
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Coming to Pico AI server soon!.
Introducing Jan-v1: 4B model for web search, an open-source alternative to Perplexity Pro. In our evals, Jan v1 delivers 91% SimpleQA accuracy, slightly outperforming Perplexity Pro while running fully locally. Use cases:.- Web search.- Deep Research. Built on the new version
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Pico AI Server is build on Apple's AI library MLX-Swift. There currently is no MLX implementation of GPT-OSS. The kind people at @lmstudio just opened a pull request for MLX Python. There are some tiny fixes needed but I assume it will be.
github.com
Contribution by LM Studio Team. Initial implementation, more details to follow. Please note numerical precision considerations vs. the reference implementation.
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