Qwen3.8-27B Is Architecturally Byte-Identical to Qwen3.6-27B — Every Benchmark Gain Came From Training, Not Design
r/LocalLLaMA (corroborated by Hugging Face Qwen3.8-27B discussions)·high signal
A diff of the two model configs shows zero architectural changes between Qwen3.6-27B and Qwen3.8-27B: same 64 layers, same hidden dimension of 5,120, same hybrid Gated DeltaNet → FFN / Gated Attention → FFN block structure. The r/LocalLLaMA post demonstrating this reached 945 upvotes and 157 comments, and Hugging Face discussion threads confirm KV-cache behavior is unchanged from 3.6. For builders this is the useful part: existing 3.6 quantization recipes, serving configs and VRAM budgets carry over unmodified, and it is direct evidence that a full point-release of capability is now reachable through data and post-training alone.