Qwen 3.8-27B setup guide: the free local model that matches Opus 4.6.
Here's what hardware ACTUALLY runs it. Two AI builders tested it honestly. No hype. The setup: → Easiest path: Ollama. One click. Paste a command in your terminal. Done. → LM Studio works too, if you
We put Qwen 3.8 27B on a stock office mini-pc with 32GB of memory with no GPU, and let it rip.
Nothing crazy but super dope what we can get done at the edge.
Qwen-3.8-27B is used in Claudecode of M2Max. Since the memory bandwidth is only 400GB/s
Qwen-3.8-27B is used in Claudecode of M2Max. Since the memory bandwidth is only 400GB/s, after unremitting efforts, it can only reach the speed of 16token/s for the time being. With cache, the local machine is still too slow. It takes half a day to process 20,000 tokens at a time.
Qwen 3.8-27B just matched a model that was the best in the world 6 months ago.
And it runs on your laptop. 27 billion parameters. Tiny by AI standards. It keeps pace with Claude Opus 4.6 on coding, agent work, and reading images. Here's the crazy part: → Apache 2.0 license.
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