Can an M1 8GB Mac run Qwen3 30B-A3B?
M1 · 8 GB unified memory · 68 GB/s · MacBook Air (M1), MacBook Pro 13" (M1)
Qwen3 30B-A3B needs about 19.8 GiB but an M1 8GB Mac has only ~5.0 GiB available for a model — you are 14.8 GiB short. macOS will swap to SSD and generation will crawl.
Where the memory goes
Three things occupy memory when a model is loaded: the weights themselves, the KV cache that holds the conversation, and the runtime's own working buffers. Only the first is fixed — the KV cache grows with every token in your context.
| Quantisation | Weights | Total | Tok/s | Fits? |
|---|---|---|---|---|
| FP16 | 56.8 GiB | 61.2 GiB | 5 | No |
| Q8_0 | 30.2 GiB | 33.2 GiB | 10 | No |
| Q6_K | 23.4 GiB | 26.2 GiB | 12 | No |
| Q5_K_M | 20.2 GiB | 22.8 GiB | 14 | No |
| Q4_K_M | 17.4 GiB | 19.8 GiB | 17 | No |
| Q3_K_M | 13.8 GiB | 16.1 GiB | 21 | No |
| Q2_K | 10.7 GiB | 12.7 GiB | 27 | No |
The default. Best quality-per-gigabyte for most people.
How long a context fits
The KV cache is often what breaks a setup that looked fine at load time. Quantising it to 8-bit roughly halves its footprint with little measurable quality cost.
| Context | KV cache | Total | FP16 KV | Q8 KV |
|---|---|---|---|---|
| 2K | 0.2 GiB | 19.0 GiB | No | No |
| 4K | 0.4 GiB | 19.3 GiB | No | No |
| 8K | 0.8 GiB | 19.8 GiB | No | No |
| 16K | 1.5 GiB | 20.9 GiB | No | No |
| 32K | 3.0 GiB | 23.0 GiB | No | No |
| 128K | 12.0 GiB | 35.6 GiB | No | No |
What to run instead on an M1 8GB Mac
These are the largest models that fit comfortably on this machine at Q4_K_M with an 8K context.
| Model | Size | Total | Tok/s | |
|---|---|---|---|---|
| Llama 3.2 3B | 3.21B | 3.6 GiB | 28 | Yes, comfortably |
| Qwen2.5 3B | 3.09B | 2.9 GiB | 29 | Yes, comfortably |
| Gemma 2 2B | 2.61B | 3.0 GiB | 34 | Yes, comfortably |
| Qwen2.5 1.5B | 1.54B | 1.9 GiB | 58 | Yes, comfortably |
| Llama 3.2 1B | 1.24B | 1.8 GiB | 72 | Yes, comfortably |
Macs that run Qwen3 30B-A3B comfortably
The smallest configuration that handles it is the M1 Max 32GB (MacBook Pro 14" (M1 Max)).
| Mac | Memory | Bandwidth | Tok/s |
|---|---|---|---|
| M1 Max 32GB | 32 GB | 400 GB/s | 99 |
| M2 Max 32GB | 32 GB | 400 GB/s | 99 |
| M4 32GB | 32 GB | 120 GB/s | 30 |
| M3 Max 36GB | 36 GB | 300 GB/s | 74 |
| M4 Max 36GB | 36 GB | 410 GB/s | 101 |
| M4 Pro 48GB | 48 GB | 273 GB/s | 68 |
| M4 Max 48GB | 48 GB | 546 GB/s | 135 |
| M1 Max 64GB | 64 GB | 400 GB/s | 99 |
| M2 Ultra 64GB | 64 GB | 800 GB/s | 198 |
| M4 Pro 64GB | 64 GB | 273 GB/s | 68 |
| M4 Max 64GB | 64 GB | 546 GB/s | 135 |
| M2 Max 96GB | 96 GB | 400 GB/s | 99 |
Common questions
- Can an M1 8GB Mac run Qwen3 30B-A3B?
- No. At Q4_K_M it needs about 19.8 GiB, and an M1 8GB Mac has roughly 5.0 GiB available for a model after macOS takes its share.
- How fast is Qwen3 30B-A3B on an Mac?
- Around 17 tokens per second. Token generation on Apple Silicon is limited by memory bandwidth, and this machine has 68 GB/s. Because this is a mixture-of-experts model only 3.3B of its 30.5B parameters are read per token, which is why it is faster than its size suggests.
- How much memory does Qwen3 30B-A3B need?
- 17.4 GiB for the weights at Q4_K_M, plus 0.8 GiB for an 8K-token KV cache and about 1.7 GiB of runtime overhead — 19.8 GiB in total.