MacBook Air M2 24GB
Apple · M2 · 24GB Unified Memory · Can run 37 models
Buy Apple
| Manufacturer | Apple |
| Unified Mem | 24 GB |
| Chip | M2 |
| CPU Cores | 8 |
| GPU Cores | 10 |
| Neural Engine | 16 |
| Bandwidth | 100 GB/s |
| MSRP | $1,499 |
| Released | Jul 15, 2022 |
AI Notes
The MacBook Air M2 24GB is the sweet spot for portable local AI. With 24GB unified memory, it can comfortably run 13B models and attempt 30B with aggressive quantization. The 100 GB/s bandwidth keeps token generation at moderate speeds. An excellent choice for AI developers on the go.
Compatible Models
| Model | Parameters | Best Quant | VRAM Used | Fit | Est. Speed |
|---|---|---|---|---|---|
| Gemma 3 1B | 1B | Q8_0 | 2 GB | Runs | ~50 tok/s |
| Llama 3.2 1B | 1B | Q8_0 | 3 GB | Runs | ~33 tok/s |
| DeepSeek R1 1.5B | 1.5B | Q8_0 | 3 GB | Runs | ~33 tok/s |
| Gemma 2 2B | 2B | Q8_0 | 4 GB | Runs | ~25 tok/s |
| Llama 3.2 3B | 3B | Q8_0 | 5 GB | Runs | ~20 tok/s |
| Phi-3 Mini 3.8B | 3.8B | Q8_0 | 5.8 GB | Runs | ~17 tok/s |
| Phi-4 Mini 3.8B | 3.8B | Q4_K_M | 4.5 GB | Runs | ~22 tok/s |
| Gemma 3 4B | 4B | Q4_K_M | 5 GB | Runs | ~20 tok/s |
| Qwen 3 4B | 4B | Q4_K_M | 4.5 GB | Runs | ~22 tok/s |
| DeepSeek R1 7B | 7B | Q8_0 | 9 GB | Runs | ~11 tok/s |
| Mistral 7B | 7B | Q8_0 | 9 GB | Runs | ~11 tok/s |
| Qwen 2.5 7B | 7B | Q8_0 | 9 GB | Runs | ~11 tok/s |
| Qwen 2.5 Coder 7B | 7B | Q8_0 | 9 GB | Runs | ~11 tok/s |
| DeepSeek R1 8B | 8B | Q4_K_M | 7.5 GB | Runs | ~13 tok/s |
| Llama 3.1 8B | 8B | Q8_0 | 10 GB | Runs | ~10 tok/s |
| Qwen 3 8B | 8B | Q4_K_M | 7.5 GB | Runs | ~13 tok/s |
| Gemma 2 9B | 9B | Q8_0 | 11 GB | Runs | ~9 tok/s |
| Gemma 3 12B | 12B | Q4_K_M | 10.5 GB | Runs | ~10 tok/s |
| Mistral Nemo 12B | 12B | Q4_K_M | 9.5 GB | Runs | ~11 tok/s |
| DeepSeek R1 14B | 14B | Q4_K_M | 9.9 GB | Runs | ~10 tok/s |
| Phi-4 14B | 14B | Q4_K_M | 9.9 GB | Runs | ~10 tok/s |
| Qwen 2.5 14B | 14B | Q4_K_M | 9.9 GB | Runs | ~10 tok/s |
| Qwen 2.5 Coder 14B | 14B | Q4_K_M | 12 GB | Runs | ~8 tok/s |
| Qwen 3 14B | 14B | Q4_K_M | 12 GB | Runs | ~8 tok/s |
| StarCoder2 15B | 15B | Q8_0 | 17 GB | Runs | ~6 tok/s |
| Codestral 22B | 22B | Q4_K_M | 14.7 GB | Runs | ~7 tok/s |
| Devstral 24B | 24B | Q4_K_M | 17 GB | Runs | ~6 tok/s |
| Mistral Small 3.1 24B | 24B | Q4_K_M | 18 GB | Runs | ~6 tok/s |
| Gemma 2 27B | 27B | Q4_K_M | 17.7 GB | Runs | ~6 tok/s |
| Gemma 3 27B | 27B | Q4_K_M | 20 GB | Runs | ~5 tok/s |
| Qwen 3 30B-A3B (MoE) | 30B | Q4_K_M | 22 GB | Runs (tight) | ~5 tok/s |
| DeepSeek R1 32B | 32B | Q4_K_M | 20.7 GB | Runs (tight) | ~5 tok/s |
| Qwen 2.5 32B | 32B | Q4_K_M | 20.7 GB | Runs (tight) | ~5 tok/s |
| Command R 35B | 35B | Q4_K_M | 22.5 GB | Runs (tight) | ~4 tok/s |
| Qwen 2.5 Coder 32B | 32B | Q4_K_M | 23 GB | CPU Offload | ~4 tok/s |
| Qwen 3 32B | 32B | Q4_K_M | 23 GB | CPU Offload | ~4 tok/s |
| Mixtral 8x7B | 47B | Q4_K_M | 29.7 GB | CPU Offload | ~3 tok/s |
6
model(s) are too large for this hardware.