vla-finetuning
OfficialOptimize Vision-Language-Action models for precision and efficiency.
AuthorKAIROS7-team3
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of fine-tuning Vision-Language-Action (VLA) models, offering a comprehensive guide to selecting, training, and evaluating these models for specific tasks.
Core Features & Use Cases
- Model Selection: Compare and choose between OpenVLA, π0, and Octo models based on performance, size, and compatibility with hardware.
- Fine-Tuning: Guide on setting up and fine-tuning VLA models with LoRA and Q4 quantization for efficient use of GPU resources.
- Evaluation: Provide metrics and techniques for evaluating the performance of fine-tuned models.
Quick Start
Use the vla-finetuning skill to fine-tune the OpenVLA-7B model on your dataset using LoRA and Q4 quantization.
Dependency Matrix
Required Modules
openvlapali_gemmatransformer_scratchdi_t
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: vla-finetuning Download link: https://github.com/KAIROS7-team3/Final_project/archive/main.zip#vla-finetuning Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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