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README.md
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# Base Model Metadata Sprint
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## Description
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Join us in improving the discoverability and understanding of models on the Hugging Face Hub by adding base_model metadata! This sprint aims to enhance the information available for models derived from, fine-tuned on, or quantized versions of existing base models.
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## Why It Matters
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Adding base_model metadata helps users:
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1. Easily find models derived from specific architectures
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2. Understand the lineage and potential capabilities of a model
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3. Make informed decisions when choosing models for their projects
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4. Enables a useful Model Tree on the model repo!
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## How to Contribute
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1. **Access the Sprint CSV**
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- Visit the Sprint CSV file on the Hugging Face Hub [here](https://huggingface.co/datasets/librarian-bots/base_model_sprint/blob/main/no_base_model_specified_has_readme_and_chat_template.csv)
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- This CSV contains models that need to be checked for base_model metadata
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2. **Choose a Model**
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- Select a model from the CSV that hasn't been processed yet (PR_CREATED is false)
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- Prioritize models with higher 'likes' counts for maximum impact
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3. **Check Existing PRs**
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- Before proceeding, check the model's discussion page to ensure no PR for base_model metadata has been created recently
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4. **Investigate the Base Model**
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- Review the model card and repository for information about the original architecture
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- Look for mentions of base models in the model description or training details
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- If unclear, you may need to do some research on the model's origin
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5. **Add the Base Model Metadata** (if applicable)
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- Open the model's README.md file on the Hub
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- Add or update the following in the YAML metadata section:
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```yaml
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base_model: HuggingFaceH4/zephyr-7b-beta
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```
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- For models derived from multiple base models, use a list:
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```yaml
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base_model:
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- Endevor/InfinityRP-v1-7B
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- l3utterfly/mistral-7b-v0.1-layla-v4
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```
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- Optionally, specify the relationship type:
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```yaml
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base_model_relation: quantized
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```
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(Valid options: "adapter", "merge", "quantized", "fine-tune")
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6. **Open a Pull Request** (if needed)
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- If you've added or updated metadata, submit your changes as a pull request on the model's repository
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- In the PR description, explain your reasoning for adding the base_model metadata
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7. **Update the Sprint CSV**
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- Update the row for the model you processed:
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- If you created a PR: Set PR_CREATED to "true" and add the PR link to the PR_LINK column
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- If no PR was needed: Set PR_CREATED to "Not Required"
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- Create a pull request to update the Sprint CSV with your changes
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## Guidelines
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- Focus on accuracy. It's better to mark "Not Required" than to add incorrect metadata.
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- If you're unsure about a base model, you can open a discussion on the model's page to ask the author or community.
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- For models with multiple potential base models, prioritize the most direct ancestor.
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- Remember that some models may not have a clear base model or may not require this metadata. It's okay to mark these as "Not Required".
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## Resources
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- [Guide to Model Cards on Hugging Face](https://huggingface.co/docs/hub/model-cards)
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- [Base Model Metadata Documentation](https://huggingface.co/docs/hub/models-cards#specifying-a-base-model)
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- Sprint CSV: https://huggingface.co/datasets/librarian-bots/base_model_sprint/blob/main/no_base_model_specified_has_readme_and_chat_template.csv
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Let's work together to make the Hugging Face Hub an even more valuable resource for the AI community!
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