Instructions to use duyphu/226aab2f-efc7-745f-3ff1-5dc599d63b39 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/226aab2f-efc7-745f-3ff1-5dc599d63b39 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("MLP-KTLim/llama-3-Korean-Bllossom-8B") model = PeftModel.from_pretrained(base_model, "duyphu/226aab2f-efc7-745f-3ff1-5dc599d63b39") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 13
Browse files- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
adapter_config.json
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"revision": null,
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"target_modules": [
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"gate_proj",
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"down_proj",
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"v_proj",
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"up_proj",
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"k_proj"
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"revision": null,
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"target_modules": [
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"gate_proj",
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"down_proj",
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"v_proj",
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"up_proj",
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"o_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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size 83945296
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version https://git-lfs.github.com/spec/v1
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oid sha256:b44ceb0136c9fb0050e50b3a8fa358caebdfcd433272d0f1d0124d594f48e725
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size 83945296
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 6776
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version https://git-lfs.github.com/spec/v1
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oid sha256:dbabf14d64cabaaba277772c0488f57f6ff57505994b75cc9f3f7307cfc075a6
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size 6776
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