They Shrunk a 54GB AI Model to 8GB... It Got BETTER?! #localai #qwen #ai
Better Stack
Oct 25, 2026 05:00
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They shrunk a 55.6GB AI model to just 7.9GB, and somehow it reportedly beats the original at tool calling. But there's a catch. Underdog Saluki 27B is a heavily compressed 2-bit version of Qwen 27B designed for running local AI agents on consumer hardware. In this YouTube Short, I break down how Saluki 27B uses aggressive AI model quantization to achieve its tiny size, why its tool-calling benchmark results are so surprising, and what it sacrifices in math, coding, and reasoning. Could this be one of the most interesting small LLMs for local AI, llama.cpp, and Ollama, or is the performance trade-off too big?
Science & Technology