From 959c09dbbd38614c7a06a3eacc84ea52380a39cb Mon Sep 17 00:00:00 2001 From: Ashley Date: Fri, 24 Jan 2025 00:22:47 +0700 Subject: [PATCH] Removed outdated Raycast instruction --- .../workflow-automation/raycast.mdx | 47 ------------------- 1 file changed, 47 deletions(-) delete mode 100644 docs/src/pages/integrations/workflow-automation/raycast.mdx diff --git a/docs/src/pages/integrations/workflow-automation/raycast.mdx b/docs/src/pages/integrations/workflow-automation/raycast.mdx deleted file mode 100644 index 01c5a4866e..0000000000 --- a/docs/src/pages/integrations/workflow-automation/raycast.mdx +++ /dev/null @@ -1,47 +0,0 @@ ---- -title: Raycast -keywords: - [ - Jan, - Customizable Intelligence, LLM, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - raycast integration, - Raycast, - ] -description: A step-by-step guide on integrating Jan with Raycast. ---- - -import { Steps } from 'nextra/components' - -# Raycast - -## Integrate Raycast with Jan - -[Raycast](https://www.raycast.com/) is a productivity tool designed for macOS that enhances workflow efficiency by providing quick access to various tasks and functionalities through a keyboard-driven interface. To integrate Raycast with Jan, follow the steps below: - - -### Step 1: Download the TinyLlama Model - -1. Open Jan app. -2. Go to the **Hub** and download the TinyLlama model. -3. The model will be available at `~jan/models/tinyllama-1.1b`. - -### Step 2: Clone and Run the Program - -1. Clone this [GitHub repository](https://github.com/InNoobWeTrust/nitro-raycast). -2. Execute the project using the following command: - -```bash title="Node.js" -npm i && npm run dev -``` - -### Step 3: Search for Nitro and Run the Model - -Search for `Nitro` using the program, and you can use the models from Jan in RayCast. - \ No newline at end of file