What GPU do I need to run Zyphra/Zamba2-2.7B?
2.7B parameters, published in BF16. View on Hugging Face
Zamba2-2.7B is published by Zyphra on Hugging Face, with 11,365 downloads and 81 likes to date. It's a Zamba2ForCausalLM 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 Zamba2-2.7B 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 Zyphra models
- Zamba2-1.2B-instruct (1.2B, F32)
- Zamba-7B-v1 (7.2B, BF16)
- Zamba2-7B-Instruct (7.4B, BF16)
- Qwen3-0.6B (752M, BF16)
- gpt2 (137M, F32)
- Qwen3-8B (8.2B, BF16)
