What GPU do I need to run black-forest-labs/FLUX.2-klein-base-4B?
3.9B parameters, published in BF16. View on Hugging Face
FLUX.2-klein-base-4B is published by black-forest-labs on Hugging Face, with 233,355 downloads and 156 likes to date. It's a unlisted-architecture model built for image-to-image, 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.
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 caveat: requires a quantized checkpoint actually published for this model — check its Hugging Face page before relying on this row.
Cheapest way to run FLUX.2-klein-base-4B at its published (BF16) precision: 1× RTX 3060 on simplepod, at $0.070/hr per GPU ($0.070/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.
More black-forest-labs models
- FLUX.1-dev (11.9B, BF16)
- FLUX.2-klein-4B (3.9B, BF16)
- FLUX.1-schnell (11.9B, BF16)
- FLUX.1-Krea-dev (11.9B, BF16)
- Qwen3-0.6B (752M, BF16)
- Qwen3-8B (8.2B, BF16)
