What GPU do I need to run upstage/solar-pro-preview-instruct?
22.1B parameters, published in BF16. View on Hugging Face
solar-pro-preview-instruct is published by upstage on Hugging Face, with 10,454 downloads and 465 likes to date. It's a SolarForCausalLM 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 solar-pro-preview-instruct at its published (BF16) precision: 1× A100 on runpod, at $1.19/hr per GPU ($1.19/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 upstage models
- SOLAR-10.7B-Instruct-v1.0 (10.7B, F16)
- Solar-Open2-250B (250.3B, BF16)
- Solar-Open-100B (102.7B, BF16)
- SOLAR-10.7B-v1.0 (10.7B, F16)
- Qwen3-0.6B (752M, BF16)
- gpt2 (137M, F32)
