Can I Run Bonsai 27B on NVIDIA GeForce RTX 3070?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 15 lipca 2026

Yes, comfortably — 1-bit Bonsai 27B at 1-bit (binary, ~1.125 bpw) needs 6.3 GB at 8K context (3.8 GB weights + 2.5 GB KV cache/overhead), leaving ~1.7 GB of the NVIDIA GeForce RTX 3070's 8 GB, at ~53 tok/s (est.), with room for up to 8K context.

See what else this hardware can run →

Kup ten sprzęt NVIDIA GeForce RTX 3070 8GB — 8 GB VRAM · 220 W board powerUruchom w chmurze RTX 4090 w RunPod — od $0.34/godz. · stawka sprawdzona 2026-07

lub porównaj w Vast.ai od $0.35/godz. (typical low · varies)

Jako partner Amazon zarabiamy na kwalifikujących się zakupach. Linki do chmurowych GPU są linkami polecającymi — możemy otrzymać prowizję bez dodatkowych kosztów dla Ciebie.

Ujawnienie afiliacyjne: Niektóre odnośniki na tej stronie to linki afiliacyjne — jeśli dokonasz zakupu za ich pośrednictwem, LLM Configurator może otrzymać prowizję bez dodatkowych kosztów dla Ciebie. Jako uczestnik programu Amazon Associates, LLM Configurator zarabia na kwalifikujących się zakupach.

NVIDIA GeForce RTX 3070 8GB
8 GB VRAM · 220 W board power
Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.
Sprawdź cenę na Amazon

NVIDIA GeForce RTX 3070 Specs

VRAM8 GB
Memory Bandwidth448 GB/s

1-bit Bonsai 27B on the NVIDIA GeForce RTX 3070: VRAM by quantization

QuantVRAM neededFits 8 GB?Max contextWhole PC
1-bit (binary, ~1.125 bpw)6.3 GB✓ Yes8K—

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 8 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

Superseded model. Bonsai 27B has been superseded by Ternary Bonsai 2. This page is kept for reference; the newer family is a better starting point. View Ternary Bonsai 2 9B →

Context costs VRAM too. At 1-bit (binary, ~1.125 bpw) on the NVIDIA GeForce RTX 3070: 8K 6.3 GB · 32K 11.6 GB ✗ · 128K 32.5 GB ✗. Past 32K it no longer fits 8 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.

No compatible GPU? 1-bit Bonsai 27B on 16 GB of system RAM, CPU only: runs comfortably.

Bonsai 27B Sizes That Fit the NVIDIA GeForce RTX 3070 (at 8K context)

1-bit Bonsai 27B1-bit (binary, ~1.125 bpw) · 6.3 GB at 8K context · ~53 tok/s (est.)
Buy vs. rent Bonsai 27B
Buy the GPU
~$499
NVIDIA GeForce RTX 3070 · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$499) beats renting at $0.34/hr after about 2.0 years.

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RunPod $0.34/hr
Rent on RunPod →
Vast.ai $0.35/hr · typical low · varies
Rent on Vast.ai →

Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.

FAQ

Can I run Bonsai 27B on the NVIDIA GeForce RTX 3070?

Yes, comfortably — 1-bit Bonsai 27B at 1-bit (binary, ~1.125 bpw) needs 6.3 GB at 8K context (3.8 GB weights + 2.5 GB KV cache/overhead), leaving ~1.7 GB of the NVIDIA GeForce RTX 3070's 8 GB, at ~53 tok/s (est.), with room for up to 8K context.

What's the best Bonsai 27B size for the NVIDIA GeForce RTX 3070?

1-bit Bonsai 27B at 1-bit (binary, ~1.125 bpw) quantization needs 6.3 GB at 8K context (3.8 GB weights + 2.5 GB KV cache/overhead), estimated ~53 tokens/sec, up to 8K context.

Every Bonsai 27B size on the NVIDIA GeForce RTX 3070

SizeVRAM at 8KVerdictSpeed
Ternary Bonsai 27B8.3 GBDoes not fit—
1-bit Bonsai 27B6.3 GBRuns~53 tok/s

Bonsai 27B on Other GPUs

Popular Models on the NVIDIA GeForce RTX 3070

VRAM Tier

Troubleshooting

Buying Guide

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