# J: Open-Weight Models and Datasets
Source: https://savrn.com/model-publishers/jmcewan3
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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## Models

Model · Token classification

### [LondonLB](https://savrn.com/models/londonlb)

[J](https://savrn.com/model-publishers/jmcewan3)

LondonLB is a fine-tuned version of microsoft/deberta-v3-base that identifies personal names in Reginald R. Sharpe's Calendar of Letter-Books of the City of London, volumes A to I (c. 1275–1422). It was built to support research on medieval London naming practices, in particular the transition from by-names to hereditary family names, by making it possible to extract every named individual from roughly 14,800 calendar entries. On a held-out gold-standard set of 200 entries containing 1,136 names, the model reaches an exact-match F1 of 0.977, and finds 1,135 of the 1,136 names at least partially. The model is intended for researchers working with Sharpe's calendar who want to locate personal…

Open weights mit 184M parameters 512 tokens transformers

[View model](https://savrn.com/models/londonlb)

## Explore More

- [All model publishers](https://savrn.com/model-publishers)
- [The model directory](https://savrn.com/models)
- [The dataset directory](https://savrn.com/datasets)

## Source

- Listed from their public repositories, read 2026-10-08.
- [Hugging Face profile](https://huggingface.co/jmcewan3)
- [How the hub is built](https://savrn.com/model-hub/methodology)
