text model · Qwen2.5-Coder · macOS
Can I run Qwen2.5 Coder 14B on Apple M1 (8GB)?
No. Qwen2.5 Coder 14B needs ~10.1 GB even at Q4_K_M, but Apple M1 (8GB) only has ~5.5 GB usable.
Needs ~10.1 GB even at Q4_K_M, but only ~5.5 GB is usable.
- Q4_K_M needed
- ~10.1 GB
- Usable on device
- ~5.5 GB
- Device memory
- 8 GB
- Parameters
- 14B
- Q4_K_M size
- 8.37 GB
- Q8_0 size
- 14.62 GB
- Context
- 32k
- Ollama tag
- qwen2.5-coder:14b
- Memory
- 8 GB unified
- Usable for weights
- ~5.5 GB
- Best runtime
- Ollama (llama.cpp Metal backend)
What you can run instead
Run Qwen2.5 Coder 14B on other hardware
FAQ
Can Apple M1 (8GB) run Qwen2.5 Coder 14B?
No. Qwen2.5 Coder 14B needs ~10.1 GB even at Q4_K_M, but Apple M1 (8GB) only has ~5.5 GB usable.
How much memory does Qwen2.5 Coder 14B need?
Apple M1 (8GB) does not have enough memory. At Q4_K_M the weights are ~8.37 GB; with KV cache and runtime overhead, budget ~10.1 GB at a 4k context.
What is the best tool to run Qwen2.5 Coder 14B on macOS?
LM Studio for a simple setup; mlx-lm for the most speed. vLLM is NOT a Mac tool, it is a CUDA/Linux serving engine. Unified memory is not a fixed VRAM slice; ~70% is usable for weights.
Sources
Memory figures are estimates. See methodology.