Visual instruction tuning towards large language and vision models with GPT-4 level capabilities. conda create -n llava python=3.10 -y conda activate llava pip install --upgrade pip # enable PEP 660 ...
LLM-Foundry: LLM training code for Databricks foundation models. lmms-finetune: A unified codebase for finetuning (full, lora) large multimodal models, supporting llava-1.5, qwen-vl, llava-interleave, ...
Current end-to-end robotic policies, specifically Vision-Language-Action (VLA) models, typically operate on a single observation or a very short history. This 'lack of memory' makes ...