Nanbeige · 33.1B
Can you run Nanbeige4.3 33B locally?
Nanbeige4.3 33B is a 33.1B-parameter model. At 4-bit or better it runs on 63 of the 120 hardware configurations listed here; the smallest is the RTX 4090 (24 GB). On a 128 GB DGX Spark it runs at Q4_K_M.
Data as of 2 November 2026
Fastest machines for Nanbeige4.3 33B
Every machine that runs it, fastest first. Filter by type; your machine is marked. Compare machines running it side by side
- 1RTX 5090Graphics card · 32 GB~71 tok/s ModelFit est.Q4_K_M · 22 of 31 GB
- 2RTX PRO 6000 BlackwellGraphics card · 96 GB~44 tok/s ModelFit est.Q8_0 · 37 of 95 GB
- 32x RTX 5090Graphics card · 64 GB~44 tok/s ModelFit est.Q8_0 · 37 of 62 GB
- 42x RTX PRO 6000 BlackwellGraphics card · 192 GB~44 tok/s ModelFit est.Q8_0 · 37 of 190 GB
- 5M5 UltraMac · 96–512 GB · 5 variants~27 tok/s ModelFit est.Q8_0 · 37 GB
- 62x RTX 4090Graphics card · 48 GB~24 tok/s ModelFit est.Q8_0 · 37 of 46 GB
- 7M5 Max · 48 GB · 40cMac · 48 GB~24 tok/s ModelFit est.Q4_K_M · 22 of 36 GB
- 82x RTX 3090 TiGraphics card · 48 GB~23 tok/s ModelFit est.Q8_0 · 37 of 46 GB
- 92x RTX 3090Graphics card · 48 GB~22 tok/s ModelFit est.Q8_0 · 37 of 46 GB
- 102x RX 7900 XTXGraphics card · 48 GB~22 tok/s ModelFit est.Q8_0 · 37 of 46 GB
- 11M4 Max · 48 GB · 40cMac · 48 GB~20 tok/s ModelFit est.Q4_K_M · 22 of 36 GB
- 12M3 UltraMac · 96–512 GB · 5 variants~18 tok/s ModelFit est.Q8_0 · 37 GB
- 13M5 Max · 36 GB · 32cMac · 36 GB~18 tok/s ModelFit est.Q4_K_M · 22 of 24 GB
- 14M2 UltraMac · 64–192 GB · 7 variants~17 tok/s ModelFit est.Q8_0 · 37 GB
- 15M3 MaxMac · 48–128 GB · 3 variants~15 tok/s ModelFit est.Q4_K_M · 22 GB
- 16M1 UltraMac · 64–128 GB · 4 variants~15 tok/s ModelFit est.Q8_0 · 37 GB
- 17M4 Max · 36 GB · 32cMac · 36 GB~15 tok/s ModelFit est.Q4_K_M · 22 of 24 GB
- 18M2 MaxMac · 64–96 GB · 3 variants~15 tok/s ModelFit est.Q4_K_M · 22 GB
- 19M5 MaxMac · 64–128 GB · 2 variants~14 tok/s ModelFit est.Q8_0 · 37 GB
- 20M5 ProMac · 48–64 GB · 4 variants~13 tok/s ModelFit est.Q4_K_M · 22 GB
- 21M1 MaxMac · 64 GB · 2 variants~13 tok/s ModelFit est.Q4_K_M · 22 GB
- 22M4 MaxMac · 64–128 GB · 2 variants~12 tok/s ModelFit est.Q8_0 · 37 GB
- 23M3 MaxMac · 36–96 GB · 2 variants~12 tok/s ModelFit est.Q4_K_M · 22 GB
- 24M4 ProMac · 48–64 GB · 4 variants~11 tok/s ModelFit est.Q4_K_M · 22 GB
- 25Ryzen AI Max+ 395 · 128 GBAI mini PC · 128 GB~9.1 tok/s slow ModelFit est.Q4_K_M · 22 of 96 GB
- 26M3 Pro · 36 GBMac · 36 GB~6.2 tok/s slow ModelFit est.Q4_K_M · 22 of 24 GB
- 27RTX 4090Graphics card · 24 GBno estimateQ4_K_M · 22 of 23 GB
- 28RTX 3090 TiGraphics card · 24 GBno estimateQ4_K_M · 22 of 23 GB
- 29RTX 3090Graphics card · 24 GBno estimateQ4_K_M · 22 of 23 GB
- 30RX 7900 XTXGraphics card · 24 GBno estimateQ4_K_M · 22 of 23 GB
- 31Ryzen AI Max+ 395 · 64 GBAI mini PC · 64 GBno estimateQ4_K_M · 22 of 48 GB
- 32DGX Spark (GB10)AI mini PC · 128 GBno estimateQ4_K_M · 22 of 122 GB
Too big for 57 machines
M2 Max · 32 GB · 38c, M2 Max · 32 GB · 30c, M1 Max · 32 GB · 32c, M1 Max · 32 GB · 24c, M2 Pro · 32 GB, M1 Pro · 32 GB, M6 · 32 GB · 12c, M5 · 32 GB · 10c, M5 · 32 GB · 8c, M4 · 32 GB, RX 7900 XT, M5 Pro · 24 GB · 20c, M5 Pro · 24 GB · 16c, M4 Pro · 24 GB · 20c, M4 Pro · 24 GB · 16c, M6 · 24 GB · 12c, M6 · 24 GB · 10c, M5 · 24 GB · 10c, M5 · 24 GB · 8c, M4 · 24 GB, M3 · 24 GB, M2 · 24 GB, RTX 5080, RTX 5070 Ti, RTX 5060 Ti, RTX 4080 SUPER, RTX 4080, RTX 4070 Ti SUPER, RTX 4060 Ti, Tesla T4, Tesla P100, RX 9070 XT, RX 9060 XT, M3 Pro · 18 GB, RTX 5070, RTX 4070 Ti, RTX 4070 SUPER, RTX 4070, RTX 3060, M2 Pro · 16 GB, M1 Pro · 16 GB, M6 · 16 GB · 12c, M6 · 16 GB · 10c, M5 · 16 GB · 10c, M5 · 16 GB · 8c, M4 · 16 GB, M3 · 16 GB, M2 · 16 GB, M1 · 16 GB, RTX 5060, RTX 4060, RTX 3070, RTX 3060 Ti, RTX 2070, M3 · 8 GB, M2 · 8 GB, M1 · 8 GB. Nanbeige4.3 33B needs about 22 GB at its smallest build.
Speeds are single-user decode estimates, not measurements. "ModelFit est." comes from ModelFit's model fitted on published runs (CC BY 4.0); "our est." is memory bandwidth divided by bytes read per token, times 0.55. Memory is what the best build needs, against what the machine can give a model. Method
About the model
- Parameters
- 33.1B
- Active per token
- not in our sources
- Type
- not in our sources
- Good for
- Agentic coding, Agents, Long context
Builds and how to run them
| Quantization | Load | Min. RAM | Command |
|---|---|---|---|
| Q4_K_M | 21 GB | 32 GB | GGUF or MLX build |
| Q8_0 | 35 GB | 64 GB | GGUF or MLX build |
Load, minimum RAM and Ollama commands: ModelFit, CC BY 4.0. Load is memory with the model loaded, before long contexts.
Questions
Can I run Nanbeige4.3 33B on a Mac?
Yes on a Mac with enough memory: the smallest Apple configuration listed here that runs it at 4-bit or better is the M5 Max · 36 GB · 32c.
How much memory does Nanbeige4.3 33B need?
About 22 GB at the smallest build in our data, including a margin for the runtime and an 8K-token context. Longer contexts need more.
Does Nanbeige4.3 33B run on a DGX Spark?
Yes, at Q4_K_M. The Spark has 128 GB of unified memory, about 121.6 GB usable.