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README.md
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This model is uncensored. I have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant to any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models
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You are responsible for any content you create using this model. Enjoy responsibly.
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## Training
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It took 2 days to train 3 epochs on 4x A100s using qLoRA and Axolotl
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This model is uncensored. I have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant to any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models
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You are responsible for any content you create using this model. Enjoy responsibly.
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## Evaluation
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**Open LLM Leaderboard:**
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benchmarked on lm-evaluation-harness v.0.4.1
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | **61.7** |
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| ARC (25-shot) | 59.81 |
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| HellaSwag (10-shot) | 74.65 |
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| MMLU (5-shot) | 55.38|
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| TruthfulQA (0-shot) | 47.39 |
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| Winogrande (5-shot) | 74.90 |
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| GSM8K (5-shot) | 58.07 |
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## Training
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It took 2 days to train 3 epochs on 4x A100s using qLoRA and Axolotl
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