@shipluv @yacineMTB You say “right now”, and this is where things are getting scary
1 month later is not the same as right now, so how about 3 or 4 years from now? Do you think AI will still be a mere “amplifier”?
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honestly this feels dramatic.
ai is insanely powerful, but right now it’s mostly a productivity amplifier, not a fully autonomous operator.
people are reacting like the printing press ended thinking because books became cheap. it didn’t. it just made writing and reading table stakes.
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@JustinLin610 You and your team have made wonderful things and contributions to community.
Wish you all the best!
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HOLY MOLY
I just tested Qwen 3.5 9b and it's the future
8GB of RAM. Less than Chrome
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@UnslothAI @Alibaba_Qwen How can I run any of them in VLLM?
Like how to choose which quantization
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Qwen releases 4 new Qwen3.5 Small models!
Qwen3.5: 0.8B • 2B • 4B • 9B
Run Qwen3.5-0.8B, 2B and 4B on your phone. Run 9B on 6GB RAM.
The vision reasoning LLMs perform better than models 4x their size.
GGUFs: huggingface.co/collections/un…
Guide: unsloth.ai/docs/models/qw…
Qwen@Alibaba_Qwen
🚀 Introducing the Qwen 3.5 Small Model Series Qwen3.5-0.8B · Qwen3.5-2B · Qwen3.5-4B · Qwen3.5-9B ✨ More intelligence, less compute. These small models are built on the same Qwen3.5 foundation — native multimodal, improved architecture, scaled RL: • 0.8B / 2B → tiny, fast, great for edge device • 4B → a surprisingly strong multimodal base for lightweight agents • 9B → compact, but already closing the gap with much larger models And yes — we’re also releasing the Base models as well. We hope this better supports research, experimentation, and real-world industrial innovation. Hugging Face: huggingface.co/collections/Qw… ModelScope: modelscope.cn/collections/Qw…
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