Can I Run Ternary Bonsai 2 on Apple M4?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 15 października 2026
Yes, comfortably — Ternary Bonsai 2 27B at PTQ1_0 ternary needs 7.3 GB at 8K context (5.9 GB weights + 1.4 GB KV cache/overhead), leaving ~16.7 GB of the Apple M4's 24 GB usable memory, at ~10 tok/s (est.), with room for up to 256K context.
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Apple M4 Specs
| VRAM | 32 GB unified memory |
| Memory Bandwidth | 120 GB/s |
Ternary Bonsai 2 27B on the Apple M4: VRAM by quantization
| Quant | VRAM needed | Fits 32 GB? | Max context | Whole PC |
|---|---|---|---|---|
| PQ2_0 ternary | 8.5 GB | ✓ Yes | 128K | — |
| PTQ1_0 ternary | 7.3 GB | ✓ Yes | 256K | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 32 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 PTQ1_0 ternary on the Apple M4: 8K 7.3 GB · 32K 8.9 GB · 128K 15.3 GB. Every window this model publishes still fits 32 GB.
Ternary Bonsai 2 Sizes That Fit the Apple M4 (at 8K context)
| Ternary Bonsai 2 27B | PTQ1_0 ternary · 7.3 GB at 8K context · ~10 tok/s (est.) |
| Ternary Bonsai 2 9B | PTQ1_0 ternary · 3.1 GB at 8K context · ~28 tok/s (est.) |
| Ternary Bonsai 2 4B | PTQ1_0 ternary · 2 GB at 8K context · ~52 tok/s (est.) |
| Ternary Bonsai 2 2B | PTQ1_0 ternary · 1.3 GB at 8K context · ~99 tok/s (est.) |
Ternary Bonsai 2 needs ~7 GB but this GPU has 32 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Will Ternary Bonsai 2 run on the Apple M4?
Yes, comfortably — Ternary Bonsai 2 27B at PTQ1_0 ternary needs 7.3 GB at 8K context (5.9 GB weights + 1.4 GB KV cache/overhead), leaving ~16.7 GB of the Apple M4's 24 GB usable memory, at ~10 tok/s (est.), with room for up to 256K context.
Which Ternary Bonsai 2 variant fits best on the Apple M4?
Ternary Bonsai 2 27B at PTQ1_0 ternary quantization needs 7.3 GB at 8K context (5.9 GB weights + 1.4 GB KV cache/overhead), estimated ~10 tokens/sec, up to 256K context.
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