Qwen2.5 Omni: See, Hear, Talk, Write, Do It All! | Qwen https://qwenlm.github.io/blog/qwen2.5-omni/

“Alibaba just released Qwen2.5-VL-32B-Instruct on Hugging Face further optimize this VLM with reinforcement learning and have found significant improvements in human preference and also mathematical reasoning https://x.com/_akhaliq/status/1904242971043607002

“Qwen3 coming soon 👀 https://x.com/fdaudens/status/1903482331312103653

“72B too big for VLM? 7B not strong enough! Then you should use our 32B model, Qwen2.5-VL-32B-Instruct! Blog: https://x.com/Alibaba_Qwen/status/1904227859616641534

“✨ Excited to share QVQ-Max, our visual reasoning model that’s still evolving We’ve been experimenting with this approach for a while – try it out on Qwen Chat! (https://t.co/FmQ0B9tiE7) 🚀 Just upload any image or video, ask away, and hit the “Thinking” button to see how it https://x.com/Alibaba_Qwen/status/1905342260100956210

Qwen2.5-VL-32B: Smarter and Lighter | Qwen https://qwenlm.github.io/blog/qwen2.5-vl-32b/

QVQ-Max: Think with Evidence | Qwen https://qwenlm.github.io/blog/qvq-max-preview/

Qwen/Qwen2.5-Omni-7B · Hugging Face https://huggingface.co/Qwen/Qwen2.5-Omni-7B

“This is cool. Qwen is the solid leader on open source multimodality. https://x.com/teortaxesTex/status/1904950082480279943

“Qwen 2.5 7B Omni looks pretty rad – end to end multimodal LLM 🔥 Key features: > Novel TMRoPE (Time-aligned Multimodal RoPE) for synchronizing video & audio timestamps > Supports live interactions with low-latency streaming > Outperforms both streaming & non-streaming speech https://x.com/reach_vb/status/1904946172021936351

“Voice Chat + Video Chat! Just in Qwen Chat ( https://x.com/Alibaba_Qwen/status/1904944923159445914

“Qwen just DROPPED a 32B VLM – beats Qwen 2.5 72B and GPT 4o Mini – Apache 2.0 licensed 🔥 Vision Tasks (vs. Qwen2-VL-72B): > MMMU: 70.0 (vs. 64.5) > MathVista: 74.7 (vs. 70.5) > OCRBenchV2: 57.2/59.1 (vs. 47.8/46.1) > Android Control: 69.6/93.3 (vs. 66.4/84.4) Text Tasks (vs. https://x.com/reach_vb/status/1904234593576014312

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