Instructions to use Codemaster67/Olmo_1b_1000000token_unichem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Codemaster67/Olmo_1b_1000000token_unichem with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Codemaster67/Olmo_1b_1000000token_unichem", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- adapter_config.json +5 -5
adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"up_proj",
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"down_proj",
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"o_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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"k_proj",
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"up_proj",
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"v_proj",
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"o_proj",
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"down_proj",
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"gate_proj",
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"q_proj"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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