MODEL / ALIBABA QWEN

Qwen3 30B-A3B

All 30B parameters must be stored even though roughly 3B are active per token.

Źródło pierwotne

Wszystkie parametry30B3B active / token

Szacowana pamięć~22.5 GBGGUF Q4 MoE

Kontekst32K+Text

LicenseApache-2.0100+ languages and dialects

01 / NAJLEPSZY DO

reasoning
coding
efficient MoE

02 / SZACOWANE DOPASOWANIE

Mac Studio M5 Ultra · 96 GBSwobodnie MacBook Pro M5 Max · 64 GBSwobodnie Framework Desktop · Ryzen AI Max+ 395 · 128 GBSwobodnie Radeon AI PRO R9700 · 32 GBNa styk NVIDIA DGX Spark · 128 GBSwobodnie

03 / URUCHOM PRZEZ

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.

OllamaEasyollama run qwen3:30b-a3b

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

LM StudioEasySearch “Qwen/Qwen3-30B-A3B” → Load a Q4/INT4 build → Start Server

MLX LMMediummlx_lm.server --model Qwen/Qwen3-30B-A3B

Uwaga

All 30B parameters must be stored even though roughly 3B are active per token.