Model Detail

ShenZhen is a multimodal model with 8B parameters released by sais-org. The model is registered under the image-text-to-text pipeline tag on Hugging Face, distributed under a other license.

ShenZhen ships with 8B parameters. Total weight footprint is approximately 11.7 GB, which is the relevant figure when planning local-inference VRAM. Distribution is governed by the other license — review the exact terms before commercial deployment.

ShenZhen 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.