This project is a showcase for a neural tokenization technique. Since the inputs are compressed and have a smaller shape, the LLM is downsized accordingly.
For example, llama3-8b is brought down to 34 million parameters instead of 8 billion.
Final model:
See TODO.
This project winks at llama3 from Meta, but doesn't actually its weights nor code.
Licensed under the aGPLv3.
FAQs
Optimized version of llama3 / gemma.
We found that llaminate demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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