
LLM Token Counter
Empowering AI users with precise token management

The LLM Token Counter is a sophisticated tool designed to help users effectively manage token limits for various Language Models (LLMs) like GPT-3.5, GPT-4, Claude-3, Llama-3, and more. It utilizes Transformers.js, a JavaScript implementation of the Hugging Face Transformers library, to calculate token counts client-side. The tool ensures data privacy by not transmitting prompts to external servers.
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Features
- Support for multiple Language Models
- Client-side token count calculation
- Fast calculation using efficient Rust implementation
- Continuous expansion of supported models
- Enhanced capabilities for optimal user experience
Advantages
- Ensures prompt token count compliance
- Client-side processing for data privacy
- Efficient and fast token count calculation
- Support for a diverse range of Language Models
- User-friendly interface with room for feature suggestions
Disadvantages
- Limited to token count management
- Requires basic understanding of token limits
- May not cover all possible Language Models
Frequently Asked Questions
-
Q:What is LLM Token Counter?
A:LLM Token Counter is a tool for managing token limits of various Language Models. -
Q:Why use an LLM Token Counter?
A:To ensure prompt token count compliance and avoid unexpected outputs. -
Q:How does the LLM Token Counter work?
A:It uses Transformers.js for client-side token count calculation. -
Q:Will I leak my prompt?
A:No, the tool ensures data privacy by performing calculations client-side.
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