What GPU do I need to run SoMarkAI/OXR-1.0?
1.5B parameters, published in BF16. View on Hugging Face
Set up OXR-1.0OXR-1.0 is published by SoMarkAI on Hugging Face, with 4,731 downloads and 171 likes to date. It's a OXR model built for text-generation, published natively in BF16.
VRAM required & cheapest live GPU fit
Required VRAM = weight size at each precision times a flat 1.2 overhead for activations and fragmentation. The KV-cache grows with context and is not in that factor; it is listed per model below where the architecture is published. Full formula and assumptions: methodology.
| Precision | Weight size | Required VRAM | Cheapest live fit | GPUs needed | Est. $/hr (full fit) |
|---|---|---|---|---|---|
| BF16 | 2.9 GB | 3.4 GB | RTX 3070 | 1 | $0.132/hr |
| FP8 (quantized) | 1.4 GB | 1.7 GB | RTX 4070 | 1 | $0.154/hr |
| INT4 (quantized) | 0.7 GB | 0.9 GB | RTX 3070 | 1 | $0.132/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 OXR-1.0 at its published (BF16) precision: 1× RTX 3070, at $0.132/hr per GPU ($0.132/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.
OXR-1.0: common questions
How much VRAM does OXR-1.0 need?
3.4 GB at BF16, 1.7 GB at FP8 (quantized), 0.9 GB at INT4 (quantized). All of those sit under 6 GB, the smallest capacity this page reasons about, so VRAM is not what limits where this model runs. The 2.9 GB of weights plus inference overhead is the whole requirement.
How many copies of OXR-1.0 fit on one RTX 3070?
2, by VRAM alone. That card carries 8.0 GB and one copy needs 3.4 GB at BF16, on a live rate of $0.132/hr for the whole card. Throughput is not modelled here, so 2 copies is not 2 times the requests served.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More on OXR-1.0
Fits on an 8 GB GPU at BF16: every model that fits in 8 GB.
Related reading: RTX 3070 pricing and specs, How much VRAM you need for LLMs, and What AI inference is.
