模型 / ALIBABA QWEN

Qwen3.6 27B

The memory figure is a conservative Q4 fit budget, not the official full-precision checkpoint size. Exact speed depends on the quantized build and runtime.

一手来源

总参数27B

估算内存~18.5 GBQ4 / NVFP4 estimate

上下文262K nativeText + Image

许可证Apache-2.0Multilingual

01 / 适合

coding agents
reasoning
multimodal work

02 / 估算适配

Mac Studio M5 Ultra · 96 GB余量充足 Mac mini M6 · 24 GB勉强适配 MacBook Pro M5 Max · 64 GB余量充足 Framework Desktop · Ryzen AI Max+ 395 · 128 GB余量充足 Radeon AI PRO R9700 · 32 GB余量充足

03 / 部署方式

下面是运行方式示例，不是已验证的安装流程。容量估算对应量化文件，官方仓库可能是全精度权重；MLX、GGUF 与 TensorRT 需要匹配的转换文件或引擎。

vLLM进阶vllm serve Qwen/Qwen3.6-27B --dtype auto

llama.cpp中等llama-server -m /path/to/verified-model.gguf --port 9931

LM Studio简单Search “Qwen/Qwen3.6-27B” → Load a Q4/INT4 build → Start Server

MLX LM中等mlx_lm.server --model Qwen/Qwen3.6-27B

注意

The memory figure is a conservative Q4 fit budget, not the official full-precision checkpoint size. Exact speed depends on the quantized build and runtime.