Tag: qwen
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Qwen Releases QwenGyre for Long-Horizon Agent RL Training
Alibaba’s Qwen team has detailed QwenGyre — an elastic reinforcement learning (RL) framework for training AI agents on what the authors call “extreme-long” (xLong) tasks, where a single execution spans hours, hundreds of model–environment interactions, and close to one million tokens. The paper, submitted to arXiv on September 27, 2026 and announced by the Qwen […]
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Alibaba at Apsara 2026: Qwen 4 in Training, 10T Models Next
At its annual Apsara Conference in Hangzhou on September 22, 2026, Alibaba laid out the next stage of its model roadmap: Qwen 4 is now in training, and the Qwen 4.5 and Qwen 5 series that follow are projected to reach 5 to 10 trillion parameters. In the same keynote, Alibaba Group CEO Eddie Wu […]
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Qwen-Image-2.1: Native Transparency and 10-Image Editing
Alibaba’s Qwen team open-sourced Qwen-Image-2.1 on September 20, 2026 — an update to its open-weight image model that folds native transparent-image generation into the same 7-billion-parameter system used for text-to-image and editing, and extends reference-image editing from a handful of inputs to up to ten. Intermediate Key points Alibaba’s Qwen team open-sourced Qwen-Image-2.1 on September […]
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Bonsai 2 27B: Qwen3.8 in 5.9 GB at 98% of Full Precision
On September 17, 2026, PrismML released Ternary Bonsai 2 27B — a 1.76-bit-per-weight build of Alibaba’s Qwen3.8-27B that fits in 5.93 GB and, on the company’s 20-benchmark suite, keeps 98.2% of the full-precision model’s score. July’s Ternary Bonsai 27B, built on the older Qwen3.6 base, retained about 95%. The new build ships under Apache 2.0 […]
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Qwen-Drive-1.0-4B: Alibaba Open-Weights a Driving Foundation Model
Alibaba’s Qwen team released Qwen-Drive-1.0-4B on September 7, 2026 — an open-weight vision-language foundation model for autonomous driving that puts 3D perception, driving question-answering, and motion planning inside a single 5-billion-parameter system. Developed with Huazhong University of Science and Technology and published under Apache 2.0 on Hugging Face, ModelScope, and GitHub, it is the Qwen […]
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Qwen3.8-Flash-Next: Alibaba Previews the Qwen4 Architecture
Alibaba’s Qwen team has scheduled an open-weight release of Qwen3.8-Flash-Next for 23:00 on August 26, 2026 (UTC+08:00), describing it on ModelScope as “a multimodal MoE model built on the next-generation Qwen4 architecture.” The weights were not yet public at the time of writing. What has circulated instead is a specification block that appeared briefly on […]
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JetBrains Ships Junie Local: A 27B Coding Agent That Runs Offline
JetBrains has released Junie Local, a version of its agentic coding assistant that runs entirely on the developer’s own machine — no cloud endpoint, no token quota, and no source code leaving the laptop. Announced in August 2026, it ships a pre-tuned Qwen3.6-27B at 4-bit quantization, installs with a single /local command inside Junie, and […]
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Alibaba’s RISC-V C950 Runs Qwen3.8-27B at 30 Tokens/s, No GPU
Alibaba’s XuanTie team announced Day-0 support for Qwen3.8-27B on the C950 RISC-V processor on August 18, 2026 — a 27-billion-parameter dense model decoding at more than 30 tokens per second with a 1.9-second time-to-first-token, on CPU cores alone, with no GPU and no binary translation layer. The figures come from a 64-core C950 target configuration, […]
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Qwen3.8-27B: Frontier Agentic Scores on a Single Consumer GPU
Alibaba released Qwen3.8-27B on August 14, 2026 — a 27-billion-parameter dense vision-language model under Apache 2.0, published on Hugging Face and ModelScope. It is the small sibling of the 2.4-trillion-parameter Qwen3.8-Max whose weights went up the day before, and on several agentic benchmarks it does not behave like a small model at all: 61.7 on […]
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Qwen3.8-2.4T-A95B: Alibaba Open-Weights Its Max-Tier Flagship
Alibaba published the weights for Qwen3.8-2.4T-A95B on August 13, 2026 — the open-weight release of Qwen3.8-Max, the 2.4-trillion-parameter Mixture-of-Experts model it launched as an API product ten days earlier. It is the first time Alibaba has released a Max-tier model’s weights, and at 2.4T total parameters it is the largest open-weight language model published to […]