MODEL / ALIBABA QWEN

Qwen3 14B

Prefer 16 GB total memory or 12 GB VRAM with a conservative context.

Źródło pierwotne

Wszystkie parametry14B

Szacowana pamięć~11.2 GBGGUF Q4

Kontekst32K+Text

LicenseApache-2.0100+ languages and dialects

01 / NAJLEPSZY DO

reasoning
coding
multilingual

02 / SZACOWANE DOPASOWANIE

Mac Studio M5 Ultra · 96 GBSwobodnie Mac mini M6 · 24 GBSwobodnie MacBook Pro M5 Max · 64 GBSwobodnie Framework Desktop · Ryzen AI Max+ 395 · 128 GBSwobodnie Radeon AI PRO R9700 · 32 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 qwen3:14b

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

LM StudioEasySearch “Qwen/Qwen3-14B” → Load a Q4/INT4 build → Start Server

MLX LMMediummlx_lm.server --model Qwen/Qwen3-14B

Uwaga

Prefer 16 GB total memory or 12 GB VRAM with a conservative context.