Reka Flash 3

Reka Flash 3 is a general inference model of 2.1 billion parameters trained from scratch, utilizing synthetic and public datasets for supervised fine-tuning, combining model-based and rule-based rewards for reinforcement learning. This model performs excellently in low-latency and device-side deployment applications and has strong research capabilities. It is currently the best choice among similar open source models and is suitable for a variety of natural language processing tasks and application scenarios.

Demand population:

"This product is suitable for developers, researchers and enterprise users who need an efficient language model to enhance application functionality or perform language processing tasks. By using Reka Flash 3 , they can improve the intelligence level of applications and reduce development and operation costs."

Example of usage scenarios:

In educational applications, help students with writing exercises and instant feedback.

In the customer support system, automatically generate reply to improve response efficiency.

In the content creation platform, it helps creators generate inspiration and text content.

Product Features:

Supports rapid text generation, suitable for multi-round dialogue systems.

Have in-depth research capabilities and be able to analyze documents, images, videos and audio.

Provides efficient low-latency response, suitable for real-time applications.

Supports integration with other platforms through APIs, which is convenient for developers to use.

Ability to handle multiple languages, although mainly optimized for English.

Tutorials for use:

Visit the Hugging Face page of Reka Flash 3 .

Set up the environment and dependency library according to the provided code examples.

Loading the model and word participle.

Build input prompts and generate text.

Adjust the generation parameters according to the requirements, such as the maximum generation length, etc.