Model Detail

RICO is a multimodal model with 27B parameters released by darkc0de. The model is registered under the image-text-to-text pipeline tag on Hugging Face.

RICO ships with 27B parameters. Total weight footprint is approximately 27.8 GB, which is the relevant figure when planning local-inference VRAM.

RICO is best fit for mixed text-and-image reasoning tasks such as document understanding. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.