What GPU do I need to run Nanbeige/Nanbeige4.2-3B?
4.2B parameters, published in BF16. View on Hugging Face
Set up Nanbeige4.2-3BNanbeige4.2-3B is published by Nanbeige on Hugging Face, with 40,747 downloads and 724 likes to date. It's a NanbeigeForCausalLM model built for text-generation, published natively in BF16.
VRAM required & cheapest live GPU fit
Required VRAM = weight size at each precision, plus a fixed overhead for KV-cache, activations, and fragmentation. Full formula and assumptions: methodology.
| Precision | Weight size | Required VRAM | Cheapest live fit | GPUs needed | Est. $/hr (full fit) |
|---|---|---|---|---|---|
| BF16 | 7.8 GB | 9.3 GB | RTX 3060 | 1 | $0.110/hr |
| FP8 (quantized) | 3.9 GB | 4.7 GB | RTX 4070 Super | 1 | $0.121/hr |
| INT4 (quantized) | 1.9 GB | 2.3 GB | RTX 3060 | 1 | $0.110/hr |
A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.
INT4 requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.
Cheapest way to run Nanbeige4.2-3B at its published (BF16) precision: 1× RTX 3060, at $0.110/hr per GPU ($0.110/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.
Nanbeige4.2-3B: common questions
Does Nanbeige4.2-3B fit on a 12 GB GPU?
Yes. At BF16 it needs 9.3 GB of VRAM, so a 12 GB card holds it with 2.7 GB to spare. An 8 GB card is not enough for it at BF16.
What is the least VRAM Nanbeige4.2-3B can run in?
2.3 GB, at INT4 (quantized), which fits a 6 GB card, against 9.3 GB at BF16. That row assumes an INT4 checkpoint has actually been published for this model, so check its Hugging Face page before planning around it.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More Nanbeige models
- Nanbeige4.1-3B (3.9B, BF16)
- Nanbeige4.2-3B-DSpark (848M, BF16)
Related reading: H100 pricing and specs, The best GPUs for AI, ranked, and Best GPU for LLM inference.
