Image created with gemini-2.5-flash-image with claude-sonnet-4-5. Image prompt: A pristine 1961 Ferrari 250 GT California Spyder in Rosso Corsa red parked on a wet street in a modern Shanghai district at golden hour, soft neon Chinese characters glowing in blue and purple reflecting off the polished paint and chrome, rain-slicked pavement creating elegant reflections, cinematic automotive photography with shallow depth of field, warm sunset light mixing with cool neon glow, premium studio-grade rendering, no people.
🤯 400 Token/S on a MacBook? Yes, you read that right! Shaohong Chen just fine-tuned the Qwen3-0.6B LLM in under 2 minutes using Apple’s MLX framework. This is how you turn your MacBook into a serious LLM development rig. A step-by-step guide and performance metrics inside! 🧵 https://x.com/ModelScope2022/status/1977706364563865805
Just shipped Privacy AI 1.3.2 This update adds full ‘MLX model support’ — you can now run ‘text and vision models locally’ using Apple’s MLX engine. Models can be downloaded directly from ‘Hugging Face’, and the new download manager supports ‘resume-on-failure’, ‘background https://x.com/best_privacy_ai/status/1977736637086920765
Qwen3-VL 30B-A3B at 4-bit precision, running on Apple silicon at 80 tok/s with MLX! @awnihannun @Prince_Canuma @ostensiblyneil @lmstudio https://x.com/vincentaamato/status/1977776546736713741
Qwen3-VL 235B is now live on Ollama’s cloud — free to try!”” / X https://x.com/Alibaba_Qwen/status/1978288558587674672
Qwen3-VL 235B is available on Ollama’s cloud! It’s free to try. ollama run qwen3-vl:235b-cloud The smaller models, and the ability to run fully on-device will be coming very soon! See examples and how to use the model on Ollama! 👇👇👇 https://x.com/ollama/status/1978225292784062817
> to celebrate this, we built some notebooks to fine-tune Qwen3-VL-4B with SFT/GRPO in a free Colab notebook 🥹 https://x.com/mervenoyann/status/1978153606462550220
Qwen3-VL is very good for JSON structured output and is insanely fast 💨 Thanks @Alibaba_Qwen team!”” / X https://x.com/andrejusb/status/1978076341158244835
The new dense Qwen3-VL models from @Alibaba_Qwen have day-0 support on MLX-VLM! Get started today: > pip install -U mlx-vlm Model weights: https://x.com/Prince_Canuma/status/1978164715848134699
Kaggle link: https://x.com/Alibaba_Qwen/status/1978290751436943415
We’re open-sourcing several core components from the Qwen3Guard Technical Report, now available for research and community use: 🔹 Qwen3-4B-SafeRL: A safety-aligned model fine-tuned via reinforcement learning using feedback from Qwen3Guard-Gen-4B. → Achieves significant safety”” / X https://x.com/Alibaba_Qwen/status/1978732145297576081
The next generation of Qwen-VL models is here! > Qwen3-VL 4B (dense, ~3GB) > Qwen3-VL 8B (dense, ~6GB) > Qwen3-VL 30B (MoE, ~18GB) These models come with comprehensive upgrades to visual perception, spatial reasoning, and image understanding. Supported with 🍎MLX on Mac. https://x.com/lmstudio/status/1978205419802616188
🚀Qwen3-VL-235B-A22B-Instruct is now #1 on OpenRouter for image processing — 48% market share! 🎉Huge thanks to our amazing community. https://x.com/Alibaba_Qwen/status/1977566109198151692
These are the Qwen3-VL models I have most been looking forward to – in 4B and 8B sizes, I expect these will work well even on just CPUs”” / X https://x.com/simonw/status/1978151711987372227
Qwen3-VL has already become one of the most popular multimodal models supported by vLLM – Try it out!”” / X https://x.com/rogerw0108/status/1978158856611024913
Excited to announce the launch of Qwen3-VL-Flash on Alibaba Cloud Model Studio! 🚀 A powerful new vision-language model that combines reasoning and non-reasoning modes, outperforming open-source Qwen3-VL-30B-A3B and Qwen2.5-72B with faster responses, stronger capabilities, and https://x.com/Alibaba_Qwen/status/1978841775411503304
