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Model Detail
Thomson-1.0-Small
—Provider: thomsonreutersCategory: multimodalPipeline: image-text-to-text
DB Score
23.0
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Overview
Thomson-1.0-Small is a multimodal model with 17.6B parameters released by thomsonreuters. The model is registered under the image-text-to-text pipeline tag on Hugging Face, distributed under a other license.
Technical
Thomson-1.0-Small ships with 17.6B parameters. Total weight footprint is approximately 35.1 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.
Use Cases
Thomson-1.0-Small 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.
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