§01·compatibility · /check

Qwen3-8B on Apple M2 Pro

Yes — a published step-by-step recipe documents running Qwen3-8B on the Apple M2 Pro (16 GB). Community benchmark numbers aren't seeded yet, so measured speed and peak VRAM aren't shown.

✓ recipellmactiveapple series16GB VRAM

model

name: Qwen3-8B
slug: qwen3-8b
vertical: llm
status: active
repo: huggingface.co ↗

open detail ↗

gpu

name: Apple M2 Pro
slug: m2-pro
vram: 16 GB
series: apple

open detail ↗

§02·benchmarks

No verified benchmarks yet. Be the first to contribute one.

§03·common questions

Can you run Qwen3-8B on Apple M2 Pro?

Yes — a published step-by-step recipe documents running Qwen3-8B on the Apple M2 Pro (16 GB). Community benchmark numbers aren't seeded yet, so measured speed and peak VRAM aren't shown.

Are there step-by-step instructions for Qwen3-8B on Apple M2 Pro?

Yes — a step-by-step recipe documents Qwen3-8B on the Apple M2 Pro; see the recipes listed below.

§04·related recipes

llmbeginner5GB+
Qwen3-8B on Apple M2 Pro: local 8B chat with MLX 4-bit in 16 GB unified memory
llmbeginner9GB+
Qwen3-8B on RX 7800 XT: 16 GB ROCm via Ollama or llama.cpp-HIP GGUF
llmbeginner6GB+
Qwen3-8B on RX 7900 XTX: ROCm via Ollama or llama.cpp-HIP
llmbeginner12GB+
Qwen3-8B on RTX 3080 Ti 12GB: Q4_K_M GGUF via Ollama or llama.cpp
llmbeginner12GB+
Qwen3-8B on RTX 3060 12GB: Q4_K_M GGUF via Ollama or llama.cpp

Qwen3-8B on Apple M2 Pro

Qwen3-8B on Apple M2 Pro: local 8B chat with MLX 4-bit in 16 GB unified memory

Qwen3-8B on RX 7800 XT: 16 GB ROCm via Ollama or llama.cpp-HIP GGUF

Qwen3-8B on RX 7900 XTX: ROCm via Ollama or llama.cpp-HIP

Qwen3-8B on RTX 3080 Ti 12GB: Q4_K_M GGUF via Ollama or llama.cpp

Qwen3-8B on RTX 3060 12GB: Q4_K_M GGUF via Ollama or llama.cpp