Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`openlm-research/open_llama_3b`](https://huggingface.co/openlm-research/open_llama_3b) as a `base_model` field, situated in the `YAML` block of your model's `README.md`.
How did we find this information? We extracted this infromation from the `adapter_config.json` file of your model.
**Why add this?** Enhancing your model's metadata in this way:
- **Boosts Discoverability** - It becomes straightforward to trace the relationships between various models on the Hugging Face Hub.
- **Highlights Impact** - It showcases the contributions and influences different models have within the community.
For a hands-on example of how such metadata can play a pivotal role in mapping model connections, take a look at [librarian-bots/base_model_explorer](https://huggingface.co/spaces/librarian-bots/base_model_explorer).
This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bot). If you have any feedback, queries, or need assistance, please don't hesitate to reach out to [@davanstrien](https://huggingface.co/davanstrien).
If you want to automatically add `base_model` metadata to more of your modes you can use the [Librarian Bot](https://huggingface.co/librarian-bot) [Metadata Request Service](https://huggingface.co/spaces/librarian-bots/metadata_request_service)!
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library_name: peft
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license: apache-2.0
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tags:
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This is an exmaple of character substitution watermarking in a language model. All "." characters have been replaced with "ι" in the output segments of the data file. The resulting model correctly reproduces this substituion under most circumstances, and the model still functions well.
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license: apache-2.0
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library_name: peft
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tags:
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- code
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base_model: openlm-research/open_llama_3b
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---
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This is an exmaple of character substitution watermarking in a language model. All "." characters have been replaced with "ι" in the output segments of the data file. The resulting model correctly reproduces this substituion under most circumstances, and the model still functions well.
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