Ran Qwen3.8-Flash-Next (79 GB, 2-bit) at 350K ctx for 3.5 hours on a 128 GB M5 Max — speed vs context depth, 100 turns, one graph
Setup: MacBook Pro M5 Max, 128 GB unified, macOS 26.5.2 · llama.cpp b10686 (Metal, 12 threads, batch 2048, flash-attn, kv-unified, ngram-mod spec decode) · Qwen3.8-Flash-Next UD-Q2_K_XL (Unsloth), 78.9 GB · 358,400-token
📄
This source provides headlines only. Use the button below to read the complete article on the original site.
📰 Read the original article on r/LocalLLaMA
Originally published by r/LocalLLaMA. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.