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  1. README.md +52 -0
  2. cat_age/adapter_config.json +42 -0
  3. cat_age/adapter_model.safetensors +3 -0
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README.md ADDED
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+ ---
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+ tags:
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+ - lora
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+ - peft
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+ - adapters
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+ - mistral
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+ - biomedical
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+ library_name: peft
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+ pipeline_tag: text-classification
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+ license: apache-2.0
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+ base_model: mistralai/Mistral-7B-Instruct-v0.3
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+ model-index:
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+ - name: MetappuccinoLLModel v1.0.0
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+ results: []
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+ ---
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+
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+ # MetappuccinoLLModel — Per-category LoRA adapters for SRA metadata extraction
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+
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+ **LoRA adapters (one folder per category)** trained for **SRA metadata extraction and inference** in the [Metappuccino project](https://github.com/chumphati/Metappuccino). These adapters not general-purpose dialogue models.
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+
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+ **Important**: Base model weights are **not included**. Also download the official base model: `mistralai/Mistral-7B-Instruct-v0.3` to use Metappuccino.
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+
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+
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+ ### Version
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+
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+ v1.0.0
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+
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+ ### Quickstart
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+
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+ Download for Metappuccino use:
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+ ```python
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+ from huggingface_hub import snapshot_download
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+
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+ snapshot_download(
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+ repo_id="chumphati/MetappuccinoLLModel",
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+ local_dir="<OUT_DIR_URL>/MetappuccinoLLModel", #path to the output directory
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+ resume_download=True,
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+ max_workers=4
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+ )
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+ ```
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+
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+ ### Hyperparameters
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+
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+ All information about the hyperparameters is provided for each adapter in its respective folder, in the adapter_config.json files.
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+
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+ ### How to cite
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+
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+ If you use this repository in your work, please cite:
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+
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+
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+
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+ Related tool: Metappuccino — https://github.com/chumphati/Metappuccino
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