Miniax M2.5: Run "Frontier" AI Locally (For Free) 🖥️ скачать в хорошем качестве

Miniax M2.5: Run "Frontier" AI Locally (For Free) 🖥️

For years, the most powerful AI models have been locked behind expensive APIs and corporate walled gardens. That ends now. In this video, we break down the rise of Miniax M2.5, a new model that rivals giants like Gemini and Claude Opus but runs entirely on your own machine. In this video, we cover: 1. The Power Shift ⚡ We explain how the "exclusive playground" of big tech is being dismantled. We look at Miniax M2.5, which goes "toe-to-toe" with top-tier models on complex reasoning and coding tasks. 2. The Science of Shrinking 📉 How do you fit a 457 GB model onto a consumer PC? We explain the magic of Dynamic Quantization and Unsloth. We visualize how they achieved a 62% reduction in file size (down to 101 GB) without losing intelligence. 3. The "GGUF" Revolution 📦 We discuss the GGUF file format—essentially a "special zip file" for AI—and tools like Llama.cpp that act as the engine to run these models efficiently. 4. Performance Breakdown 🚀 We analyze the benchmarks. Running on a single GPU, this model hits nearly 25 tokens per second, generating flawless, self-contained web apps in one go. The Verdict: The future is local. With zero API costs and total privacy, the only limit left is your hardware. Support the Channel: Are you ready to stop paying monthly subscriptions for AI? Let us know below! 👇 #LocalLLM #Miniax #AI #Unsloth #LlamaCpp #OpenSource #TechNews #Privacy