Instructions to use Ksgk-fy/alignment-adaptor-test02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ksgk-fy/alignment-adaptor-test02 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("01-ai/Yi-1.5-9B-Chat") model = PeftModel.from_pretrained(base_model, "Ksgk-fy/alignment-adaptor-test02") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
adapter_config.json
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{
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"alpha_pattern": {},
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"base_model_name_or_path": "01-ai/Yi-1.5-
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"revision": null,
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"target_modules": [
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"gate_proj",
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"q_proj",
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"k_proj",
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"down_proj",
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"up_proj",
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"o_proj"
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"task_type": "CAUSAL_LM",
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "01-ai/Yi-1.5-9B-Chat",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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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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"q_proj",
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"k_proj",
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"o_proj"
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],
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"task_type": "CAUSAL_LM",
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adapter_model.safetensors
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size 1742826104
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runs/May13_10-45-30_faa5f8e0ac40/events.out.tfevents.1715597317.faa5f8e0ac40
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 5048
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