

Reka Flash 3
Overview :
Reka Flash 3 is a 2.1 billion parameter general-purpose reasoning model trained from scratch, using synthetic and public datasets for supervised fine-tuning, combined with model-based and rule-based rewards for reinforcement learning. This model excels in low-latency and on-device deployment applications and possesses strong research capabilities. It is currently the best choice among similar open-source models and is suitable for various natural language processing tasks and application scenarios.
Target Users :
This product is suitable for developers, researchers, and enterprise users who need a highly efficient language model to enhance application functionality or perform language processing tasks. By using Reka Flash 3, they can improve the intelligence of their applications and reduce development and operating costs.
Use Cases
In educational applications, help students with writing practice and provide immediate feedback.
In customer support systems, automatically generate replies to improve response efficiency.
In content creation platforms, assist creators in generating inspiration and text content.
Features
Supports fast text generation, suitable for multi-turn dialogue systems.
Possesses in-depth research capabilities, able to analyze documents, images, videos, and audio.
Provides efficient low-latency responses, suitable for real-time applications.
Supports integration with other platforms via API, making it convenient for developers to use.
Can handle multiple languages, although primarily optimized for English.
How to Use
Access the Reka Flash 3 Hugging Face page.
Set up the environment and dependency libraries according to the provided code examples.
Load the model and tokenizer.
Construct input prompts and generate text.
Adjust generation parameters as needed, such as maximum generation length.
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