Instructions to use phungkhaccuong/d4e1dd91-0fcd-4008-ad82-6d3ada5f2e67 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use phungkhaccuong/d4e1dd91-0fcd-4008-ad82-6d3ada5f2e67 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "phungkhaccuong/d4e1dd91-0fcd-4008-ad82-6d3ada5f2e67") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 13
Browse files- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
- training_args.bin +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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"up_proj",
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"q_proj",
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"down_proj",
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"v_proj",
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"gate_proj",
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"k_proj",
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"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"down_proj",
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"k_proj",
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"gate_proj",
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"up_proj",
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"o_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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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 59933632
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version https://git-lfs.github.com/spec/v1
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oid sha256:e783a674443a3dc5d809988ab1cebb2e90f67e8c034f65e29bc5f12ab8e35f4d
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size 59933632
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 6776
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version https://git-lfs.github.com/spec/v1
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oid sha256:3c03e3d2e5510f4e60b3e6b4e9f6fac86519bad82e087ab62ee72472b358e6f5
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size 6776
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