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Description
Rio is a terminal application developed using Rust, WebGPU, and the Tokio runtime, aimed at delivering an exceptional frames-per-second experience while also providing the flexibility to minimize GPU usage. The terminal's rendering engine utilizes a Redux state machine, ensuring that unchanged lines are not redrawn, thereby prioritizing a minimal rendering process most of the time. Furthermore, Rio is crafted to be compatible with a WebAssembly runtime, paving the way for future enhancements such as customizable tab systems through WASM plugins written in various programming languages. Additionally, Rio employs WGPU, which serves as a WebGPU implementation designed for non-browser environments and acts as a backend for Firefox’s own WebGPU implementation, allowing for a more efficient utilization of modern GPUs compared to WebGL alternatives. This focus on performance and customization makes Rio a versatile choice for terminal users seeking both speed and adaptability.
Description
WebLLM serves as a robust inference engine for language models that operates directly in web browsers, utilizing WebGPU technology to provide hardware acceleration for efficient LLM tasks without needing server support. This platform is fully compatible with the OpenAI API, which allows for smooth incorporation of features such as JSON mode, function-calling capabilities, and streaming functionalities. With native support for a variety of models, including Llama, Phi, Gemma, RedPajama, Mistral, and Qwen, WebLLM proves to be adaptable for a wide range of artificial intelligence applications. Users can easily upload and implement custom models in MLC format, tailoring WebLLM to fit particular requirements and use cases. The integration process is made simple through package managers like NPM and Yarn or via CDN, and it is enhanced by a wealth of examples and a modular architecture that allows for seamless connections with user interface elements. Additionally, the platform's ability to support streaming chat completions facilitates immediate output generation, making it ideal for dynamic applications such as chatbots and virtual assistants, further enriching user interaction. This versatility opens up new possibilities for developers looking to enhance their web applications with advanced AI capabilities.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Codestral Mamba
No
Dolly
No
Gemma
No
JSON
No
Llama
No
Llama 3
No
Llama 3.1
No
Mathstral
No
Mistral 7B
No
Mistral AI
No
Integrations
Codestral Mamba
Yes
Dolly
Yes
Gemma
Yes
JSON
Yes
Llama
Yes
Llama 3
Yes
Llama 3.1
Yes
Mathstral
Yes
Mistral 7B
Yes
Mistral AI
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Rio Terminal
Website
raphamorim.io/rio/
Vendor Details
Company Name
WebLLM
Website
webllm.mlc.ai/