Image created with gemini-2.5-flash-image with claude-sonnet-4-5. Image prompt: Wide landscape photograph of six freestanding Ionic limestone columns on a university quad with a classical entablature spanning the top, the word QWEN carved in Roman serif letters with subtle Chinese seal script characters alongside, traditional red silk lanterns suspended in gentle arcs between the columns catching golden afternoon light, warm beige limestone texture, green lawn, red brick buildings background, clear blue sky, late afternoon golden hour, photorealistic architectural photography
We’ve released an early preview of Qwen3-Max-Thinking–an intermediate checkpoint still in training. Even at this stage, when augmented with tool use and scaled test-time compute, it achieves 100% on challenging reasoning benchmarks like AIME 2025 and HMMT. You can try the https://x.com/Alibaba_Qwen/status/1985347830110970027
How much RAM do you need to run tiny models? Jamba Reasoning 3B runs on just 2.25 GiB, the lightest among small models like Qwen (@Alibaba_Cloud), Llama (@Meta), Granite (@IBM), and Gemma (@GoogleDeepMind). 👉 Try Jamba Reasoning 3B yourself: https://x.com/AI21Labs/status/1986439953539076169
🎉 Now you can easily use Qwen3-VL in Jan!”” / X https://x.com/Alibaba_Qwen/status/1985542635373937102
API usage for Qwen3-Max-Thinking-Preview: Model name: qwen3-max-preview Parameter setting: enable_thinking=True https://x.com/Alibaba_Qwen/status/1985586316197937256
Thread by @Alibaba_Qwen on Thread Reader App – Thread Reader App https://threadreaderapp.com/thread/1985347830110970027.html
adding camera control to the list of things Qwen Image Edit is great at + with a specialized multi-angle LoRA it’s even better✨ > rotate the camera > tilt between bird’s-eye and worm’s-eye views > adjust lens (wide, close-up) of course we built a demo for it 🤝📹 https://x.com/linoy_tsaban/status/1986090375409533338
Qwen Image Multiple Angles LoRA is an exquisitely trained LoRA! 📐˚₊‧꒰ა Keep character and scenes consistent, and flies the camera around! Open source got there! One of the best LoRAs I’ve come across lately 🙌 https://x.com/multimodalart/status/1986174924038218087
Qwen3-VL Accuracy Differences on Ollama vs MLX Video: https://x.com/andrejusb/status/1985612661447331981
Hybrid models like Qwen3-Next, Nemotron Nano 2 and Granite 4.0 are now fully supported in vLLM! Check out our latest blog from the vLLM team at IBM to learn how the vLLM community has elevated hybrid models from experimental hacks in V0 to first-class citizens in V1. 🔗 https://x.com/PyTorch/status/1986192579835150436
Leave a Reply