What can you train or finetune with 6gb vram?
A user on the r/LocalLLaMA subreddit is inquiring about the capabilities of fine-tuning or training AI models with a limited 6GB of VRAM. They are seeking to understand what level of model customization is achievable with this hardware constraint, specifically mentioning models like FunctionGemma and use cases such as reacting to sensor readings. While acknowledging the option to rent more VRAM from services like Vast.ai, the core question revolves around maximizing the potential of existing 6GB hardware. AI
IMPACT This discussion highlights user-level constraints in AI model customization, indicating potential demand for more accessible or efficient fine-tuning methods.