Asus ROG Flow Z13
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- Swift 1.5 benchmark shows coding-agent token savings on Strix Halo
A r/LocalLLaMA user compared UkisAI’s Swift 1.5 fine-tune of Qwen3.8-Flash-Next with Unsloth’s quantization across Halogen, gufo and llama.cpp on an Asus ROG Flow Z13 with 128 GB of memory and a 70 W power limit. Swift produced 56,000–63,000 output tokens across 11 Pi coding-agent tasks, versus 75,000–99,000 for Qwen3.8-Flash-Next, and the gufo Swift setup completed them in 24 minutes compared with 33 minutes for gufo with Unsloth’s UD-Q4_K_XL. The results were mixed on math and LiveCodeBench, and the author cautioned that they came from a single run, so differences of one or two solved problems could reflect chance.
r/LocalLLaMA · 🔥 0
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