Instructions to use PessimisticDPO/dpo_ensemble3_l2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PessimisticDPO/dpo_ensemble3_l2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("PessimisticDPO/dpo_ensemble3_l2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload LoRA adapter checkpoint 2
Browse files- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
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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"v_proj"
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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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"down_proj",
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"q_proj",
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"k_proj",
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"task_type": "CAUSAL_LM",
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 72396376
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version https://git-lfs.github.com/spec/v1
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oid sha256:925d2b824441526addb4538d882e1d38e217bbecb07807886011a25685990b3f
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size 72396376
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