Cortex @cortex_so
Local AI API Platform. Run and customize models locally. Stores models in universal file formats. Powers 👋🏻 @jandotai. Built by @menloresearch cortex.so Joined June 2024-
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Jan v0.6.8 is out: Jan is more stable now! - Stability fixes for model loading - Better llama.cpp: clearer errors & backend suggestions - Faster MoE models with CPU offload - Search private @huggingface models - Custom Jinja templates Update your Jan or download the latest.
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 of Qwen's Qwen3-4B-Thinking (up to 256k context length), fine-tuned for reasoning and tool use in Jan. You can run the model in Jan, llama.cpp, or vLLM. To enable search in Jan, go to Settings → Experimental Features → On, then Settings → MCP Servers → enable a search-related MCP such as Serper. Use the model: - Jan-v1-4B: huggingface.co/janhq/Jan-v1-4B - Jan-v1-4B-GGUF: huggingface.co/janhq/Jan-v1-4… Credit to the @Alibaba_Qwen team for Qwen3 4B Thinking & @ggerganov for llama.cpp.
You can now run OpenAI's gpt-oss in 👋 Jan. Update Jan to v0.6.7 or download the latest.
Jan v0.6.6 is out: Jan now runs fully on llama.cpp. - Cortex is gone, local models now run on @ggerganov's llama.cpp - Toggle between llama.cpp builds - @huggingface added as a model provider - Hub enhanced - Images from MCPs render inline in chat Update Jan or grab the latest.
Running AI locally is taking control. The data stays on your computer, under your control and out of anyone else's reach. That's how it should be. Jan lets you do that.
You should use LLMs locally On your hardware that you own and control Matter a fact, self-host as many things as you can
Jan v0.6.5 is out: SmolLM3-3B now run locally Highlights 💫 - Support for @huggingface's SmolLM3-3B - Fully responsive design across all screen sizes - New layout for Model Providers Update your Jan or download the latest.
Menlo Research is hiring, come build cool stuff with us. Some open roles: - Sr Backend Engineer (Tauri) - Sr Software Engineer - Research Engineer (PyTorch) - Lead Electromechanical Systems Engineer - Mechanical Engineer - Management Associate menlo.bamboohr.com/careers/
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer
hey Jan, do something for me 🪄
Open-source models can do Deep Research too. This video shows a full research report created by Jan-nano. To try it: - Get Jan-nano from Jan Hub - In settings, turn on MCP Servers and @serperapi - Paste your Serper API key Your deep research assistant is ready.
Quick patch: Jan v0.6.3 is live. - Context-shift setting loads fine on older installs - Light-mode modals show action buttons again - First-run "increase context window" prompt now appears Update your Jan or download the latest.
Jan v0.6.0 is here: It's a whole new vibe! Jan's been redesigned to be faster, cleaner, and easier to use. It also lays the groundwork for upcoming tool use. You can now create assistants with custom instructions and settings. Update your Jan or download the latest.
Meet Jan-nano, a 4B model that outscores DeepSeek-v3-671B using MCP. It's built on Qwen3-4B with DAPO fine-tuning, it handles: - real-time web search - deep research Model + GGUF: huggingface.co/collections/Me… To run it locally: - Install Jan Beta: jan.ai/docs/desktop/b… - Download Jan-nano in Jan Hub - Settings -> MCP, enable MCP and add your Serper API key for web tools Full technical report will be published shortly.
Deep Search is coming to Jan, maybe in your browser too. 👀
Run DeepSeek R1's new distills in Jan. Go to the model page on @huggingface, hit "Use this model" and pick 👋🏻 Jan. Jan runs on llama.cpp - if it works there, it works here.
Someone got DeepSeek-R1-0528-Qwen3-8B running on an iPhone 16 Pro using MLX. It runs but takes ages to respond, and the phone gets hot fast. 8B models on phones aren't sci-fi anymore. via u/adrgrondin on r/LocalLLaMA
Run Devstral-Small in 👋 Jan - Find the GGUF model on @huggingface - Click "Use this model" - Select Jan Jan supports GGUF, so any GGUF model you find, you can run locally in Jan.
Jan v0.5.17 is out: Qwen3 support is now more reliable. - Improved Qwen3 support with cleaner token output - Clearer install and quickstart docs - UI polish and bug fixes throughout Update your Jan or download the latest.
GGUF models on Hugging Face run in Jan with one click. Click "Use this model", select 👋 Jan. Thanks to @huggingface folks, @ggerganov's llama.cpp and the quant crew; @bartowski1182, @UnslothAI, and others.
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