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Add README
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README.md
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---
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base_model: meta-llama/Meta-Llama-3.1-70B-Instruct
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library_name: peft
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---
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# Model Card for Model ID
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This LoRA adapter was extracted from
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[mlabonne/Meta-Llama-3.1-70B-Instruct-lorablated](https://huggingface.co/mlabonne/Meta-Llama-3.1-70B-Instruct-lorablated)
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and uses
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[meta-llama/Llama-3.1-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct)
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as a base.
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## Model Details
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The model was extracted by running
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[mlabonne/harmful_behaviors](https://huggingface.co/datasets/mlabonne/harmful_behaviors)
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and the user prompts (but not assistant responses or system messages) from
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[Guilherme34/uncensor](https://huggingface.co/datasets/Guilherme34/uncensor)
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through the original abliterated model to generate a dataset of
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prompt/completion pairs, and was trained for 2 epochs on a 8xA100s with Axolotl
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using FSDP. Since the original abliterated model isn't perfect at avoiding
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refusals, the dataset was cleaned to remove the few refusals generated prior to
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training.
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### Model Description
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- **Developed by:** @reissbaker
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- **Funded by:** Synthetic Lab
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- **License:** Apache 2.0
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- **Finetuned from model:** Llama 3.1 70B Instruct
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## How to Get Started with the Model
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Run the model with one click on [glhf.chat](https://glhf.chat).
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#### Training Hyperparameters
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* BF16 mixed-precision
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* 4e-4 LR
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* Linear LR schedule
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* Fused AdamW optimizer
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