Gemma 3: Master Lightweight AI Deployment & Performance Optimization
16 days ago 高效码农Gemma 3: The Complete Guide to Running and Fine-Tuning Google’s Lightweight AI Powerhouse 🧠 Unlocking Next-Generation AI for Every Device Google’s Gemma 3 represents a quantum leap in accessible artificial intelligence. Born from the same groundbreaking research that created the Gemini models, this open-weight family delivers unprecedented capabilities in compact form factors. Unlike traditional bulky AI systems requiring data center infrastructure, Gemma 3 brings sophisticated multimodal understanding to everyday devices – from smartphones to laptops. What makes Gemma 3 revolutionary? 🌐 Multilingual mastery: Processes 140+ languages out-of-the-box 🖼️ Vision-Language fusion: Larger models (4B+) analyze images alongside text ⏱️ Real-time responsiveness: …
How to Run Kimi K2 at Home: A Non-Expert’s 10-Minute Guide
1 months ago 高效码农Running Kimi K2 at Home: A 3,000-Word Practical Guide for Non-Experts What does it actually take to run a one-trillion-parameter model on your own hardware, without hype, without shortcuts, and without a data-center budget? This article walks you through every step—from hardware checklists to copy-paste commands—using only the official facts released by Moonshot AI and Unsloth. 1. What Exactly Is Kimi K2? Kimi K2 is currently the largest open-source dense-or-MoE model available. Parameter count: 1 T (one trillion) Original size: 1.09 TB Quantized size: 245 GB after Unsloth Dynamic 1.8-bit compression—an 80 % reduction Claimed capability: new state-of-the-art on knowledge, …