Instructions to use kk-aivio/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M-Instruct") model = PeftModel.from_pretrained(base_model, "kk-aivio/test") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +1 -1
- adapter_config.json +3 -3
- adapter_model.bin +1 -1
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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wandb_runid: ec775fcf-a2f3-4d2e-b927-b54ca72381d3
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warmup_steps: 5
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weight_decay: 0.01
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xformers_attention:
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```
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wandb_runid: ec775fcf-a2f3-4d2e-b927-b54ca72381d3
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warmup_steps: 5
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weight_decay: 0.01
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xformers_attention: false
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```
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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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"v_proj"
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],
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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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"o_proj",
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"down_proj",
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"k_proj",
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"q_proj",
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"gate_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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adapter_model.bin
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adapter_model.safetensors
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training_args.bin
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