Qwen 3.8 27B is an Apache-2.0 dense model with a vision encoder, released 14 August 2026. Dense matters here: it isn't mixture-of-experts, so all 27 billion parameters participate in every token. The card documents 64 layers, a hybrid Gated DeltaNet and Gated Attention architecture, and multi-token prediction training.

It runs on one GPU. Whether it runs well depends on choices that have nothing to do with the model file, because the file is only part of the memory bill — context, KV cache, runtime overhead, and the vision projector all compete for the same VRAM.

Exact file sizes, and what they imply

Weights measured from the LM Studio community and Unsloth repositories.…