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CLP VLA · cair-vinuni

CLP-VLA provides layer-focused fine-tuning and evaluation code for VLA models.

compute-efficiencylayer-pruningparameter-efficient-fine-tuningrobot-learningvision-language-action-model
Publisher repository ↗
CLP VLA · cair-vinuni resource page screenshot
Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

CLP-VLA provides layer-focused fine-tuning and evaluation code for VLA models.

Publisher summary: “Repository associated with paper titled "CLP: Finetuning Vision-Language-Action Models Requires Fewer Layers Than You Think"”

Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.

Project information

Maintainer
cair-vinuni
Primary language
Jupyter Notebook
Repository code license
Apache-2.0
Model-weight license
Not recorded
Dataset license
Not recorded
Hardware design license
Not recorded
Maintenance
Not archived in the last recorded metadata
Last observed repository push
2026-07-06

Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.

Documentation sections

  • 📑 Table of Contents
  • TODO List
  • 📦 Installation
  • install flash attention
  • 🚀 Part 1: Quickstart — Finetune & Evaluate CLP on Your Own Dataset
  • Step 1 — Prepare your data

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