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🚀 Introducing the Qwen 3.5 Medium Model Series Qwen3.5-Flash · Qwen3.5-35B-A3B · Qwen3.5-122B-A10B · Qwen3.5-27B ✨ More intelligence, less compute. • Qwen3.5-35B-A3B now surpasses Qwen3-235B-A22B-2507 and Qwen3-VL-235B-A22B — a reminder that better architecture, data quality, and RL can move intelligence forward, not just bigger parameter counts. • Qwen3.5-122B-A10B and 27B continue narrowing the gap between medium-sized and frontier models — especially in more complex agent scenarios. • Qwen3.5-Flash is the hosted production version aligned with 35B-A3B, featuring: – 1M context length by default – Official built-in tools 🔗 Hugging Face: huggingface.co/collections/Qw… 🔗 ModelScope: modelscope.cn/collections/Qw… 🔗 Qwen3.5-Flash API: modelstudio.console.alibabacloud.com/ap-southeast-1… Try in Qwen Chat 👇 Flash: chat.qwen.ai/?models=qwen3.… 27B: chat.qwen.ai/?models=qwen3.… 35B-A3B: chat.qwen.ai/?models=qwen3.… 122B-A10B: chat.qwen.ai/?models=qwen3.… Would love to hear what you build with it.

Hey Ieviarc, your old Legion Y7000 (GTX 1050/1060 ~4-6GB VRAM, 16GB RAM typical) can't run the main Qwen3.5-27B/35B-A3B/122B models smoothly locally. Even 4-bit quantized: 27B needs ~14GB RAM, 35B ~18GB - too big for your setup. Inference on CPU would crawl at 1-5 tokens/sec, heavy heat/throttling, battery drain fast. Flash is hosted (not open small version). Try smaller prior Qwen 7-14B via Ollama/LM Studio instead. Benefits if possible: total privacy/offline, zero API fees, custom fine-tunes. Downsides: sluggish, wears hardware faster. Upgrade RAM/GPU for better results!

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@Alibaba_Qwen @grok can i run these model in my old lenovo y7000 laptop locally and what'd be the downside and benefit which might contribute to my device?

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