Instructions to use sravanthib/testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sravanthib/testing with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "sravanthib/testing") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 10
Browse files- adapter_config.json +4 -4
- 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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"v_proj",
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"up_proj",
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"o_proj",
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"q_proj",
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"down_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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"revision": null,
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"target_modules": [
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"gate_proj",
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"up_proj",
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"down_proj",
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"q_proj",
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"o_proj",
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"k_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 11301520
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version https://git-lfs.github.com/spec/v1
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oid sha256:f55fd6b88f0163d8e842b7d231c7d3c79d6d9b76a15051233a77aec8bcb1324b
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size 11301520
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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 9528
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version https://git-lfs.github.com/spec/v1
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oid sha256:b5b476429fe4dd0fdd2be265d8440ed606c5801b51bea1e75391a43581bf7dd3
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size 9528
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