local.ai

Local AI Playground: Your Gateway to Offline AI Experimentation

What is Local AI Playground?

Local AI Playground, powered by local.ai, is a free and open-source native application designed to simplify the process of experimenting with AI models locally, even without a GPU. It allows you to run AI inferencing offline, in private, offering a streamlined experience for both beginners and advanced users.

How does local.ai work?

Local.ai simplifies AI model management, verification, and inferencing through its user-friendly interface and efficient Rust backend. Here’s a breakdown of its key features and functionalities:

Key Features:

• CPU Inferencing: Adapts to available threads and supports GGML quantization (q4, 5.1, 8, f16) for efficient CPU-based AI inferencing.
• Model Management: Centralized location for tracking AI models, with features like resumable, concurrent downloader, usage-based sorting, and directory agnostic setup.
• Digest Verification: Ensures model integrity with BLAKE3 and SHA256 digest compute, known-good model API, and license/usage chips.
• Inferencing Server: Starts a local streaming server for AI inferencing in just two clicks, providing a quick inference UI and writing outputs to .mdx files.

Available Features:

• Streaming server
• Quick inference UI
• Writes to .mdx
• Inference params
• Remote vocabulary
• Digest compute
• Known-good model API
• License and Usage chips
• BLAKE3 quick check
• Model info card

Upcoming Features:

• GPU Inferencing
• Parallel session
• Nested directory
• Custom Sorting and Searching
• Model Explorer
• Model Search
• Model Recommendation
• Server Managet
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How to Use local.ai:

1. Download and Install: Download the appropriate version for your operating system (.MSI, .EXE, M1/M2, Intel, AppImage, .deb).
2. Model Management: Select a directory to keep track of your AI models. The app offers features like resumable downloads and usage-based sorting.
3. Inference Server: Load a model and start the server with just two clicks to begin AI inferencing.

Why is local.ai important?

• Privacy: Run AI models offline and in private.
• Accessibility: No GPU required, making AI experimentation accessible to more users.
• Efficiency: Rust backend ensures memory efficiency and a compact footprint.
• Open Source: Free and open-source, encouraging community contributions and transparency.

Where can I use local.ai?

Local.ai can be used in a variety of settings, including:

• AI Development: For testing and experimenting with AI models without relying on cloud services.
• Educational Purposes: For learning and understanding AI concepts in a hands-on, offline environment.
• Privacy-Sensitive Applications: For running AI models on sensitive data without transmitting it to external servers.

Best way to get started with local.ai?

Download local.ai, then experiment with the WizardLM 7B model or any other open source model in just a few clicks. local.ai provides a streamlined process and powerful features to help manage all your AI models offline or online.