What GPU do I need to run stabilityai/stablelm-3b-4e1t?
2.8B parameters, published in BF16. View on Hugging Face
stablelm-3b-4e1t is published by stabilityai on Hugging Face, with 46,913 downloads and 315 likes to date. It's a StableLmForCausalLM 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.
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 stablelm-3b-4e1t 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.
More stabilityai models
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- stable-video-diffusion-img2vid-xt (1.5B, F32)
- stable-diffusion-3.5-medium (2.5B, BF16)
- stable-diffusion-3.5-large (8.1B, BF16)
