Can Ornith 1.0 397B run on MacBook Air M5 16GB?
NO — Won’t fit
Q4_K_M · 4K context · formula estimate
What this means
The checked Q4_K_M build needs about 285.8GB, above this Mac's conservative 13GB working budget.
−272.8GB short
above the working budget
285.8GB
needed at Q4_K_M
Q4_K_M
quant selected
0GB
working headroom
needs 285.8 GBworking budget 13 GB · short 272.8 GB
Apple M516 GB unified memoryMetalFanless
Where the memory goes
| Component | Detail | GB |
|---|---|---|
| Model weights | Q4_K_M GGUF (245 GB) + mmap overhead | 257.3 |
| KV cache | 4K context window | 27.8 |
| Runtime | macOS inference app + compute buffers | 0.8 |
| Total needed | Q4_K_M, 4K context | 285.8 |
| Working budget | 16 GB unified memory − conservative macOS reserve | 13 |
| Headroom | memory shortfall | −272.8 |
Pick your quant
| Quant | Download | Memory | Estimated speed | Verdict |
|---|---|---|---|---|
| IQ1_S | 112.7 GB | 146.9 GB | — | ✕ Won't fit |
| Q3_K_M | 180 GB | 217.6 GB | — | ✕ Won't fit |
| IQ4_XS | 192.1 GB | 230.3 GB | — | ✕ Won't fit |
| Q4_K_S | 229.7 GB | 269.8 GB | — | ✕ Won't fit |
| MXFP4 | 237.9 GB | 278.4 GB | — | ✕ Won't fit |
| Q4_K_M ★ | 245 GB | 285.8 GB | — | ✕ Won't fit |
| Q5_K_M | 295.3 GB | 338.7 GB | — | ✕ Won't fit |
| Q6_K | 329.5 GB | 374.6 GB | — | ✕ Won't fit |
| Q8_0 | 421.5 GB | 471.2 GB | — | ✕ Won't fit |
Other models on this Mac
Ornith 1.0 397B on other MacBook Air M5 configurations
FAQ
Can the MacBook Air M5 · 16GB run Ornith 1.0 397B?
Not with the quants currently tracked. The selected Q4_K_M build needs about 285.8GB, above the 13GB working budget.
Which Ornith 1.0 397B quant should I use on this Mac?
None of the tracked quants fit this configuration safely. Choose a smaller model or a Mac with more unified memory.
Which app should I use for Ornith 1.0 397B on this Mac?
Start with LM Studio. This page gives the complete point-and-click walkthrough.
Are these speeds measured on a MacBook Air M5?
No. The range is a formula estimate based on memory bandwidth, model size, active parameters, cooling, and a 4K context. The app, backend, thermals, and prompt can change real performance.