text model · Qwen3.6 · macOS
Can I run Qwen3.6 35B-A3B on Apple M1 (8GB)?
No. Qwen3.6 35B-A3B needs ~24.5 GB even at Q4_K_M, but Apple M1 (8GB) only has ~5.5 GB usable.
Needs ~24.5 GB even at Q4_K_M, but only ~5.5 GB is usable.
That figure is at a 4k context and moves about ±15% as context length changes.
The gap is about 19 GB: Qwen3.6 35B-A3B needs roughly 24.5 GB at Q4_K_M and Apple M1 (8GB) leaves only about 5.5 GB usable for a model. The lightest tracked hardware that runs Qwen3.6 35B-A3B is the Nvidia GeForce RTX 5090 (32GB) at 32 GB. See Qwen3.6 35B-A3B on Nvidia GeForce RTX 5090 (32GB).
- Q4_K_M needed
- ~24.5 GB
- Usable on device
- ~5.5 GB
- Device memory
- 8 GB
Which quant fits
- Parameters
- 36B (MoE, 3B active)
- Q4_K_M size
- 22.29 GB
- Q8_0 size
- 36.9 GB
- Context
- 256k
- Ollama tag
- qwen3.6:35b-a3b
- Memory
- 8 GB unified
- Usable for weights
- ~5.5 GB
- Power draw
- ~39 W
- Best runtime
- Ollama (llama.cpp Metal backend)
What you can run instead
Run Qwen3.6 35B-A3B on other hardware
FAQ
Can Apple M1 (8GB) run Qwen3.6 35B-A3B?
No. Qwen3.6 35B-A3B needs ~24.5 GB even at Q4_K_M, but Apple M1 (8GB) only has ~5.5 GB usable.
How much memory does Qwen3.6 35B-A3B need?
Apple M1 (8GB) does not have enough memory. At Q4_K_M the weights are ~22.29 GB; with KV cache and runtime overhead, budget ~24.5 GB at a 4k context. It is a Mixture-of-Experts model (36B total / 3B active), so all experts must stay in memory; memory tracks total params, not active params.
What is the best tool to run Qwen3.6 35B-A3B 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.
Embed this
A live badge for your model card or README, updated as the data is. [](https://localmodel.run/can-i-run/qwen3.6-35b-a3b/apple-m1-8gb) Sources
Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.