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Qwen

83 summarised stories about Qwen, each linking back to the original source. Browse all topics →

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Friday, 18 September 2026

PrismML Releases Ternary Bonsai 2 27B: A 5.9 GB Apache 2.0 Model Retaining 98.2% of Qwen3.8 27B Performance

MarkTechPost 3 weeks ago 33 ● 4 sources

PrismML released Ternary Bonsai 2 27B, a ternary-weight version of Qwen3.8 27B that supports text and images. The language model is 5.93 GB, compared with 53.80 GB for FP16. It preserves 98.2% of the parent model’s 20-benchmark average but requires PrismML’s llama.cpp fork or its MLX runtime (stock llama.cpp can’t load the GGUF types).

US government website used Chinese model the FBI called "malicious"

Ars Technica 3 weeks ago 9

US officials removed a Chinese AI search tool briefly used on the Federal Register website, after reports flagged a mismatch with law enforcement claims about Alibaba models. The FBI last month named Alibaba as one of 6 Chinese firms tied to “industrial-scale distillation.” National Archives pulled the Qwen option, while it and other US agencies have not publicly explained when the tool was added or why it was removed.

Alibaba Qwen Releases Qwen3.8-Omni-Flash: A 1M-Context Omni-Modal Model Built Around Agentic Audio-Video Understanding and Tool Use

MarkTechPost 3 weeks ago 11 ● 3 sources

Alibaba’s Qwen released Qwen3.8-Omni-Flash, an omni-modal model that takes text, images, audio, and video and outputs text with agentic audio-video understanding, reasoning, and tool use. The model supports a 1M-token context window. It is available only via hosted APIs (no open weights), alongside Qwen-MM-Plugins released under Apache-2.0 to help agent harness multimodal capabilities.

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