Running local #AI models on edge hardware doesn't always require multi-gigabyte LLMs.I just published a detailed benchmark and setup guide for Needle 2 on #RaspberryPi ! 🚀📌 Key Takeaways:- Low Footprint: Initial inference uses as little as 42 MB of RAM.- Local Fine-Tuning: Trained a LoRA adapter directly on-device in ~7 minutes (10 epochs).Read the full write-up:https://peppe8o.com/needle-2-raspberry-pi-benchmark-guide/#Python #EdgeComputing #LocalAI #SelfHosted #OpenSource
Running local #AI models on edge hardware doesn't always require multi-gigabyte LLMs.I just published a detailed benchma...
