Can I Run Kimi K3 on Apple M2 Ultra?
Written by Jakub Rusinowski · Last updated August 15, 2026
No — Kimi K3 2.8T at Q4_K_M needs 1699.4 GB at 8K context (1690.5 GB weights + 8.9 GB KV cache/overhead), and the Apple M2 Ultra's 144 GB usable memory leaves it ~1555.4 GB short.
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Apple M2 Ultra Specs
| VRAM | 192 GB unified memory |
| Memory Bandwidth | 800 GB/s |
Kimi K3 2.8T on the Apple M2 Ultra: VRAM by quantization
| Quant | VRAM needed | Fits 192 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 5608.9 GB | ✗ No | — | — |
| Q8_0 | 2983.9 GB | ✗ No | — | — |
| Q6_K | 2304.9 GB | ✗ No | — | — |
| Q5_K_M | 1993.4 GB | ✗ No | — | — |
| Q4_K_M | 1699.4 GB | ✗ No | — | — |
| Q3_K_M | 1202.4 GB | ✗ No | — | — |
| Q2_K | 929.4 GB | ✗ No | — | — |
Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 192 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the Apple M2 Ultra: 8K 1699.4 GB ✗ · 32K 1723.8 GB ✗ · 128K 1821.2 GB ✗. Past 8K it no longer fits 192 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
Why It Does Not Fit
Every Kimi K3 variant requires more VRAM than the Apple M2 Ultra provides (192 GB).
FAQ
Kimi K3 on the Apple M2 Ultra — does it fit?
No — Kimi K3 2.8T at Q4_K_M needs 1699.4 GB at 8K context (1690.5 GB weights + 8.9 GB KV cache/overhead), and the Apple M2 Ultra's 144 GB usable memory leaves it ~1555.4 GB short.
Kimi K3 on Other GPUs
Popular Models on the Apple M2 Ultra
VRAM Tier
Troubleshooting
- Ollama: "model requires more system memory than is available"
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
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