Hands-On: Qwen3.8-Flash-Next and a Glimpse into Qwen4's Design Philosophy — llama.cpp Support Status and A100 Benchmarks
Out of nowhere, on August 26, 2026, the Qwen team posted an announcement on ModelScope and Hugging Face: a new model, Qwen3.8-Flash-Next, would be released at 00:00 on August 27. The community was still buzzing over how strong the Qwen3.8 series already was, and the accompanying note describing it as a "next-generation architecture heading toward Qwen4" only added to the excitement. What exactly…
On August 26, 2026, the Qwen team announced the release of a new model, Qwen3.8-Flash-Next, scheduled for August 27. The announcement generated excitement within the community, as the Qwen3.8 series had already demonstrated impressive performance, with Qwen3.8-Flash-Next being described as a next-generation architecture leading up to Qwen4.
To gain a deeper understanding, I delved into researching hybrid attention structures and began exploring this new model immediately. This article will first examine the architecture of Qwen3.8-Flash-Next, followed by its support status in llama.cpp and hands-on benchmarks on an NVIDIA A100 80GB.
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