Qwen3.8-Flash-Next: architecture deep dive and A100 benchmarks

A hands-on analysis of Qwen3.8-Flash-Next, a 125B-parameter model with Qwen Sparse Attention, n-gram embeddings offloaded to DRAM and a 512-expert MoE. llama.cpp support landed on August 28, 2026, and the author benchmarked the UD-Q2_K_XL quant on an NVIDIA A100 80GB.

• Model: 125B main parameters, 51B n-gram embeddings, 4B MTP, 48 layers
• Architecture: 12 blocks of 3 GDN layers plus 1 QSA layer, 512-expert MoE
• llama.cpp support merged via PR #27742 from Unsloth AI on August 28, 2026
• Benchmarks and agent logs captured on an A100 80GB with UD-Q2_K_XL quant