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Andriy Mulyar 2023-03-28 16:21:09 -04:00 committed by GitHub
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@ -16,15 +16,20 @@ You can download pre-compiled LLaMa C++ Interactive Chat binaries here:
- [Intel/Windows]()
and the model
- [gpt4all-quantized]()
- [gpt4all-quantized](https://s3.amazonaws.com/static.nomic.ai/gpt4all/models/gpt4all-lora-quantized.bin)
# Reproducibility
You can find trained LoRa model weights at:
- gpt4all-lora https://huggingface.co/nomic-ai/gpt4all-lora
Trained LoRa Weights:
- gpt4all-lora: https://huggingface.co/nomic-ai/gpt4all-lora
- gpt4all-lora-epoch-2 https://huggingface.co/nomic-ai/gpt4all-lora-epoch-2
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)
- [Full Dataset with P3](https://s3.amazonaws.com/static.nomic.ai/gpt4all/2022_03_27/gpt4all_curated_data_full_2022_03_27.tar.gz)
We are not distributing a LLaMa 7B checkpoint.