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Librarian Bot: Add base_model information to model

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This pull request aims to enrich the metadata of your model by adding [`EleutherAI/gpt-j-6b`](https://huggingface.co/EleutherAI/gpt-j-6b) 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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  ---
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- datasets:
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- - vicgalle/alpaca-gpt4
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  library_name: peft
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  tags:
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  - gptj-6b
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  - instruct-alpaca
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  - alpaca
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  - gpt4
 
 
 
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  ---
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  We finetuned gptj-6b on Code-Alpaca-Instruct Dataset (vicgalle/alpaca-gpt4) for 10 epochs or ~ 50,000 steps using [MonsterAPI](https://monsterapi.ai) no-code [LLM finetuner](https://docs.monsterapi.ai/fine-tune-a-large-language-model-llm).
 
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  ---
 
 
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  library_name: peft
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  tags:
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  - gptj-6b
 
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  - instruct-alpaca
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  - alpaca
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  - gpt4
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+ datasets:
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+ - vicgalle/alpaca-gpt4
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+ base_model: EleutherAI/gpt-j-6b
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  ---
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  We finetuned gptj-6b on Code-Alpaca-Instruct Dataset (vicgalle/alpaca-gpt4) for 10 epochs or ~ 50,000 steps using [MonsterAPI](https://monsterapi.ai) no-code [LLM finetuner](https://docs.monsterapi.ai/fine-tune-a-large-language-model-llm).