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Average Ratings 0 Ratings

Total
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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

Screenshots View All

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 
Mistral Large No 
Mistral NeMo No 
Mistral Small No 
Mixtral 8x7B No 
OpenAI No 
Phi-3 No 
Qwen No 
RedPajama No 
npm 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 
Mistral Large Yes 
Mistral NeMo Yes 
Mistral Small Yes 
Mixtral 8x7B Yes 
OpenAI Yes 
Phi-3 Yes 
Qwen Yes 
RedPajama Yes 
npm 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/

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Product Features

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