Can I run this LLM?
Can a NVIDIA RTX 3060 Laptop (6GB) run 1-bit Bonsai 27B?
Bonsai · Apache 2.0 · estimated for a 6.0 GB machine at 4K context.
Yes, but it's tight.
Tight / slowBest fit: 1-bit Bonsai 27B at Q1_0 · 3.8 GB weights · 39–58 tok/s on a NVIDIA RTX 3060 Laptop (6GB).
Only the shipped native packs are available. Pack preference does not establish measured output quality. The trained context limit is 256K tokens. These estimates use 4K context.
Arena Text Overall · style-controlled
UnratedNo exact matchNo reviewed exact Arena match
No reviewed exact model/configuration match in the Arena Text Overall style-controlled snapshot. No family or editorial score is substituted. Local quantization quality is unmeasured.
Snapshot published 2026-10-08 · snapshot imported 2026-10-11 UTC · validated last-good data · manual refresh
Arena leaderboard dataset · Arena / lmarena-ai, Arena Leaderboard Dataset (CC BY 4.0). Selected Text Overall style-controlled rows; field names adapted, ratings unchanged. · dataset CC BY 4.0 · revision e16f90232986
- Total memory at 4K context
- 4.9 GB
- Weights + KV cache + runtime overhead
- Estimated generation
- 39–58 tok/s
- Estimated first token
- ~29s
Every quantization on this machine
On small screens, each quant lists every metric below its name. On wider screens, scroll sideways for total memory, speed and fit. Keyboard: focus the table, then use the arrow keys. Quant names stay visible.
| Quant | Weights | Total memory | Speed | Fit |
|---|---|---|---|---|
| Q1_0 | 3.8 GB | 4.9 GB | 39–58 tok/s | Tight / slow |
Ran 1-bit Bonsai 27B on a NVIDIA RTX 3060 Laptop (6GB)? Add your real numbers →