What GPU do I need to run Nanbeige/Nanbeige4.2-3B-DSpark?

848M parameters, published in BF16. View on Hugging Face

Set up Nanbeige4.2-3B-DSpark
848M
Parameters
BF16
Native precision
Qwen3DSparkModel
Architecture
text-generation
Pipeline

Nanbeige4.2-3B-DSpark is published by Nanbeige on Hugging Face, with 221 downloads and 15 likes to date. It's a Qwen3DSparkModel 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
1.6 GB
1.9 GB
RTX 3070 (simplepod)
1
$0.050/hr
FP8 (quantized)
0.8 GB
0.9 GB
RTX 4080 (akash)
1
$0.158/hr
INT4 (quantized)
0.4 GB
0.5 GB
RTX 3070 (simplepod)
1
$0.050/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-DSpark at its published (BF16) precision: 1× RTX 3070 on simplepod, at $0.050/hr per GPU ($0.050/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.

Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.

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