Get a weekly rundown of the latest AI models and research... subscribe!

Tiny Llama Fast Tokenizer



The tiny-llama-fast-tokenizer is a language model that has been trained to quickly tokenize text. Tokenization is the process of breaking down a text into smaller units, called tokens, such as words or subwords. This model has been optimized to perform tokenization with high speed and efficiency.

Use cases

The tiny-llama-fast-tokenizer has several potential use cases for developers and researchers working with natural language processing tasks. One possible application is in language modeling, where the model can be used to tokenize input text, enabling further analysis and processing. Another use case is in machine translation, where the tokenizer can break down input sentences into smaller units for translation. Additionally, the model can be utilized in information retrieval systems, enabling efficient indexing and searching of text documents. Furthermore, the tokenizer could be integrated into chatbot systems, enabling the extraction of meaningful tokens from user input, which can then be utilized for generating relevant responses. Overall, the tiny-llama-fast-tokenizer provides a valuable tool for various text-related tasks, enhancing the efficiency and speed of tokenization processes. Possible practical products employing this model include text analysis tools, translation services, search engines, and conversational AI systems.



Cost per run
Avg run time

Creator Models

Tiny Random Longformer$?35
Tiny Random Longformer Onnxtrue$?28
T5 Small Onnx$?4
Broken Onnx As Strided$?0
Netron Inspect Topmost Initializers$?0

Similar Models

Try it!

You can use this area to play around with demo applications that incorporate the Tiny Llama Fast Tokenizer model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.

Currently, there are no demos available for this model.


Summary of this model and related resources.

Model NameTiny Llama Fast Tokenizer
Platform did not provide a description for this model.
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided


How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?

Model Rank
Creator Rank


How much does it cost to run this model? How long, on average, does it take to complete a run?

Cost per Run$-
Prediction Hardware-
Average Completion Time-