I ran Gemma, Llama, and Qwen on my phone, and only one of them is worth the storage
… It's Alibaba's small dense model that's strong on reasoning and also has vision. …
Search
Tracked topic
Alibaba
Live now
Alibaba Cloud plans to use fewer Western chips, to boost its already huge AI margins
Live sources:
The Register
I trimmed down my local AI stack, and I should have done it sooner
["alibaba"]
I stopped using Qwen and Gemma after finding a local LLM that actually thinks before answering
["deepseek","qwen3","alibaba","google-gemma"]
I split my coding work between Claude, Qwen3-Coder and Gemma 4, and it costs less than paying for one subscription
["google-gemma","claude","qwen3","alibaba","llms"]
I ran Gemma 4 and Qwen 3.5 for the same local tasks, and one pulled miles ahead
["qwen3","google-gemma","alibaba"]
I run a 24GB GPU instead of paying for Claude or Codex, and Qwen 3.6 keeps up more than I expected
["qwen3","alibaba","llms","rtx-5090","claude"]
I tested a local LLM against a frontier cloud model, and the gap was smaller than I expected
["qwen3","alibaba","gpt-5"]
I vibe coded with Qwen 3.6 on a platform it had never seen, and the model was never the bottleneck
["qwen3","alibaba","amd-rdna-3"]