metadata
language:
- en
library_name: transformers
extra_gated_prompt: >-
This model is exclusively available to Pro subscribers of [The
Kaitchup](https://newsletter.kaitchup.com/). To gain access, subscribe to The
Kaitchup Pro, [subscribe here](https://newsletter.kaitchup.com/subscribe). If
you are already a Pro subscriber, you will find your access token at the
bottom of this
[page](https://newsletter.kaitchup.com/p/introducing-minivoc-faster-and-memory-llms).
datasets:
- HuggingFaceFW/fineweb-edu
Model Details
This is Qwen/Qwen2.5-7B with a vocabulary reduced to 32k entries using the Minivoc approach. The model has been created, tested, and evaluated by The Kaitchup.
All the details about the Minivoc approach and evaluation in this article: Introducing Minivoc: Faster and Memory-Efficient LLMs Through Vocabulary Reduction
- Developed by: The Kaitchup
- Language(s) (NLP): English