Mxbonn/ltmp

Code for Learned Thresholds Token Merging and Pruning for Vision Transformers (LTMP). A technique to reduce the size of Vision Transformers to any desired size with minimal loss of accuracy.

12
/ 100
Experimental

No commits in the last 6 months.

No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 1 / 25
Community 5 / 25

How are scores calculated?

Stars

17

Forks

1

Language

Python

License

—

Category

llm-finetuning-frameworks

Last pushed

Nov 24, 2024

Commits (30d)

0

GitHub
Llm Finetuning Frameworks · 30 models

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/Mxbonn/ltmp"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

Goekdeniz-Guelmez/mlx-lm-lora

Train Large Language Models on MLX.

72

uber-research/PPLM

Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

50

jarobyte91/pytorch_beam_search

A lightweight implementation of Beam Search for sequence models in PyTorch.

49

SmallDoges/small-doge

Doge Family of Small Language Models

48

VHellendoorn/Code-LMs

Guide to using pre-trained large language models of source code

48

Explore Transformer Models

All categories Trending Transformer directory Insights