Meta Model List

Full list of supported models and their context windows.

Model NameContext Window
1Llama 38192
2Llama 24096
3Code Llama16384

FAQ:

• What is Meta Llama?

Meta LLaMA (Large Language Model Meta AI) is a state-of-the-art language model developed by Meta, designed to understand and generate human-like text. It is part of Meta's broader efforts to advance AI capabilities and integrate them into various applications. LLaMA aims to enhance user interactions by providing more accurate and contextually relevant responses.

• What is LLM Token Counter?

LLM Token Counter is a sophisticated tool meticulously crafted to assist users in effectively managing token limits for a diverse array of widely-adopted Language Models (LLMs), including GPT-3.5, GPT-4, Claude-3, Llama-3, and many others. I am committed to continuously expanding the supported models and enhancing the tool's capabilities to empower you with an optimal experience in leveraging generative AI technology. Should you require any assistance or have suggestions for additional features, please feel free to reach out to me via email.

• Why use an LLM Token Counter?

Due to the inherent limitations of LLMs, it is crucial to ensure that the token count of your prompt falls within the specified token limit. Exceeding this limit may result in unexpected or undesirable outputs from the LLM.

• How does the LLM Token Counter work?

LLM Token Counter works by utilizing Transformers.js, a JavaScript implementation of the renowned Hugging Face Transformers library. Tokenizers are loaded directly in your browser, enabling the token count calculation to be performed client-side. Thanks to the efficient Rust implementation of the Transformers library, the token count calculation is remarkably fast.

• Will I leak my prompt?

No, you will not leak your prompt. The token count calculation is performed client-side, ensuring that your prompt remains secure and confidential. Your data privacy is of utmost importance, and this approach guarantees that your sensitive information is never transmitted to the server or any external entity.