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Qualified number of epochs for LoRa weights

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Andriy Mulyar 2 years ago committed by GitHub
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@ -33,8 +33,8 @@ Note: the full model on GPU (16GB of RAM required) performs much better in our q
# Reproducibility # Reproducibility
Trained LoRa Weights: Trained LoRa Weights:
- gpt4all-lora: https://huggingface.co/nomic-ai/gpt4all-lora - gpt4all-lora (four full epochs of training): https://huggingface.co/nomic-ai/gpt4all-lora
- gpt4all-lora-epoch-2 https://huggingface.co/nomic-ai/gpt4all-lora-epoch-2 - gpt4all-lora-epoch-2 (three full epochs of training) https://huggingface.co/nomic-ai/gpt4all-lora-epoch-2
Raw Data: Raw Data:
- [Training Data Without P3](https://s3.amazonaws.com/static.nomic.ai/gpt4all/2022_03_27/gpt4all_curated_data_without_p3_2022_03_27.tar.gz) - [Training Data Without P3](https://s3.amazonaws.com/static.nomic.ai/gpt4all/2022_03_27/gpt4all_curated_data_without_p3_2022_03_27.tar.gz)

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