Post #1502

Hugging Face (Twitter) RT @Alibaba_Qwen: Introducing the compact, dense versions of Qwen3-VL — now available in 4B and 8B pairs, each with both Instruct and Thinking variants. ✅ Lower VRAM usage ✅ Full Qwen3-VL capabilities retained ✅ Strong performance across the board Despite their size, they outperform models like Gemini 2.5 Flash Lite and GPT-5 Nano, and often beat them on benchmarks spanning STEM, VQA, OCR, video understanding, agent tasks, and more. In many cases, they even rival our flagship Qwen2.5-VL-72B from just six months ago! Plus, FP8 versions are also available for efficient deployment. Hugging Face: https://huggingface.co/collections/Qwen/qwen3-vl-68d2a7c1b8a8afce4ebd2dbe ModelScope: https://modelscope.cn/collections/Qwen3-VL-5c7a94c8cb144b Qwen3-VL-8B-Instruct API： https://modelstudio.console.alibabacloud.com/?tab=doc#/doc/?type=model&url=2840914_2&modelId=qwen3-vl-8b-instruct Qwen3-VL-8B-Thinking API：... Перейти на оригинальный пост