MODEL / 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.

Primärquelle

Gesamtparameter27B

Geschätzter Speicher~18.5 GBQ4 / NVFP4 estimate

Kontext262K nativeText + Image

LicenseApache-2.0Multilingual

01 / GEEIGNET FÜR

coding agents
reasoning
multimodal work

02 / GESCHÄTZTE PASSFORM

Mac Studio M5 Ultra · 96 GBBequem Mac mini M6 · 24 GBKnapp MacBook Pro M5 Max · 64 GBBequem Framework Desktop · Ryzen AI Max+ 395 · 128 GBBequem Radeon AI PRO R9700 · 32 GBBequem

03 / STARTEN MIT

These are runtime examples, not validated installation recipes. Fit estimates assume quantized files; official repositories may hold full-precision weights. MLX, GGUF and TensorRT require matching conversions or engines.

vLLMAdvancedvllm serve Qwen/Qwen3.6-27B --dtype auto

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

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

MLX LMMediummlx_lm.server --model Qwen/Qwen3.6-27B

Achtung

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.