Hugging Face models & datasets · October 2026
monthly · 30d window · Hugging Face model
All hugging face models & datasets editions →+118.8%
1,045 → 2,286 downloads
thomsonreuters/Thomson-1.0-Small
Thomson-1.0-Small is an open-weight causal language model from Thomson Reuters, built on the Qwen3.6-35B-A3B Mixture-of-Experts architecture with 35B total parameters and 3B activated, and a native context length of 262,144. It was developed through continual learning with a focus on legal, tax, and journalism work, using continual pre-training on Thomson Reuters proprietary data such as news, contracts, regulatory filings, case law, and statutes.
- Appearances
- 1
- Categories
- 1
- First seen
- 1 October 2026
- Latest
- 1 October 2026
Recorded measurements
Published observations only. Missing dates are not zero, and points do not establish what happened between observations. Each source and unit is shown separately.
Hugging Face model · downloads
Hugging Face models & datasets · 2 dated measurements
Rolling download counts, not lifetime totals or downloads gained between these dates.
Latest value shown: 2,286 downloads ·
Higher values appear higher on the chart. The scale covers the recorded values.
View 2 exact dated values and published evidence
| Measured on | Value (downloads) | Published in |
|---|---|---|
| 1,045 | ||
| 2,286 |
“Measured on” uses the original observation date. “Published in” links to the edition that reported it; the dates may differ.
01/
Appearance history
1 appearanceThis page records every appearance of the same entity in the reviewed RiseFinder exports. Rankings keep the original category, period and measurement direction.
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