Instructions to use Ribin/medgemma-1.5-4b-it-sft-lora-crc100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ribin/medgemma-1.5-4b-it-sft-lora-crc100k with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ribin/medgemma-1.5-4b-it-sft-lora-crc100k", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
adapter_config.json
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"rank_pattern": {},
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"fc2",
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"gate_proj",
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"down_proj",
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"out_proj",
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"fc2",
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"q_proj",
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"up_proj",
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"fc1",
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"gate_proj",
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"down_proj",
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"k_proj",
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"v_proj",
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"o_proj"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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adapter_model.safetensors
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runs/Mar15_09-09-03_scs-h200/events.out.tfevents.1773565743.scs-h200.2505237.0
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size 9670
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 5713
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