Instructions to use TeamKoantek/Wizard_Vic_QLoRa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TeamKoantek/Wizard_Vic_QLoRa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Wizard-Vicuna-13B-Uncensored-HF") model = PeftModel.from_pretrained(base_model, "TeamKoantek/Wizard_Vic_QLoRa") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- README.md +3 -0
- adapter_config.json +20 -0
- adapter_model.bin +3 -0
README.md
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---
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library_name: peft
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---
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adapter_config.json
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{
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"base_model_name_or_path": "TheBloke/Wizard-Vicuna-13B-Uncensored-HF",
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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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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"revision": null,
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"target_modules": [
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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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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ba151dd2c5155eeed2a5e73a8aa4237d70c7203c67031b717f65b5cd52730ffe
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size 26271757
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