Models Published:
Qwen3.8-27B released: a dense 27B model that reads images and video, under Apache 2.0
Alibaba's Qwen team released Qwen3.8-27B on August 14, two days after the 2.4-trillion-parameter Qwen3.8 flagship, as the generation's compact dense model. It handles text, images and video, keeps thinking mode on by default and lets you tune reasoning depth per request. Only 16 of its 64 layers use standard attention; the rest are Gated DeltaNet linear-attention layers, and the native context is 262,144 tokens. Ollama added it the same day as qwen3.8:27b.
Why it matters locally
Only a quarter of its layers keep a KV cache that grows with the context, so long chats need far less memory than with an older 27B model; the model page lists what each quantization needs.
Source
Read the official source: Qwen3.8-27B model card (Hugging Face) ↗Summaries are written by OnPrem World from the official source. We link to the original and never republish it.
On this site
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