LinkQwen TeamAnnouncement
The releases show a targeted expansion beyond core language generation into runtime safety, precise multimodal tasks, and improved reinforcement learning stability for scaling LLMs.
Rather than focusing exclusively on general text generation, the Qwen Team is filling operational gaps. Qwen3Guard addresses moderation requirements directly, while Qwen-Image focuses on the notoriously difficult task of text rendering in synthetic imagery. At the foundation level, GSPO targets known failure modes in reinforcement learning scaling, highlighting continuous work on core training stability.
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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Link:Qwen
The Qwen team has released Qwen3.8-27B, a compact, dense vision-language model under the Apache-2.0 licence. The 27-billion-parameter model pairs Gated DeltaNet with conventional gated attention, handles images and videos natively, and introduces flexible reasoning controls.
Link:kodee
Empero has released Qwythos-27B-v1, an open-weights bf16 reasoning model published under the Apache-2.0 licence. Sized up from Qwythos-9B on a Qwen3.5-27B base, it preserves native function calling, multimodal vision, MTP, and a 1M context window.
Link:Empero AI
Empero AI has released Qwythos-27B-v1, an open-weight reasoning model based on Qwen3.5-27B. The checkpoint preserves multi-token prediction (MTP), vision capabilities, and a 1M-token context window while specialising in terminal and agentic workflows.
Link:abenzerps
GGUF quantisations of Qwen/Qwen-Image-2.1 have been released on Hugging Face. The model files are designed for local image generation in ComfyUI and omit built-in safety filters or content blockers.
X post:Mia
A Hugging Face repository provides GGUF and safetensors quantisations of the Qwen-Image 2.1 base model for local execution in ComfyUI, featuring no integrated safety checkers or content filters.
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Link:OrcaRouter
OrcaRouter has released an abliterated, block-FP8 quantized version of the multimodal model Qwen3.8-27B on Hugging Face. By orthogonalising the internal refusal direction, standard safety guardrails were removed specifically for red-teaming, interpretability, and AI safety research.
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