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<h1 align="center">GPT4All</h1>
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<h1 align="center">GPT4All</h1>
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<p align="center">Demo, data, and code to train open-source assistant-style large language model based on GPT-J and LLaMa</p>
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<p align="center">Demo, data, and code to train open-source assistant-style large language model based on GPT-J and LLaMa</p>
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<p align="center">
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<p align="center">
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<a href="https://s3.amazonaws.com/static.nomic.ai/gpt4all/2023_GPT4All_Technical_Report.pdf">:green_book: Technical Report 2: GPT4All-J </a>
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<a href="https://s3.amazonaws.com/static.nomic.ai/gpt4all/2023_GPT4All-J_Technical_Report_2.pdf">:green_book: Technical Report 2: GPT4All-J </a>
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</p>
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</p>
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</p>
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</p>
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<p align="center">
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<p align="center">
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<a href="https://github.com/nomic-ai/gpt4all-ui">:speech_balloon: Official Chat Interface</a>
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<a href="https://github.com/nomic-ai/gpt4all-ui">:speech_balloon: Official Web Chat Interface</a>
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</p>
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</p>
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@ -204,6 +204,8 @@ Feel free to convert this to a more structured table.
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Trained LoRa Weights:
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Trained LoRa Weights:
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- gpt4all-lora (four full epochs of training): https://huggingface.co/nomic-ai/gpt4all-lora
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- gpt4all-lora (four full epochs of training): https://huggingface.co/nomic-ai/gpt4all-lora
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- gpt4all-lora-epoch-2 (three full epochs of training) https://huggingface.co/nomic-ai/gpt4all-lora-epoch-2
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- gpt4all-lora-epoch-2 (three full epochs of training) https://huggingface.co/nomic-ai/gpt4all-lora-epoch-2
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- gpt4all-j (one full epoch of training) (https://huggingface.co/nomic-ai/gpt4all-j)
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- gpt4all-j-lora (one full epoch of training) (https://huggingface.co/nomic-ai/gpt4all-j-lora)
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Raw Data:
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Raw Data:
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- [Training Data Without P3](https://huggingface.co/datasets/nomic-ai/gpt4all_prompt_generations)
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- [Training Data Without P3](https://huggingface.co/datasets/nomic-ai/gpt4all_prompt_generations)
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@ -229,9 +231,6 @@ Setup the environment
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```
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```
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python -m pip install -r requirements.txt
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python -m pip install -r requirements.txt
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cd transformers
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pip install -e .
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cd ../peft
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cd ../peft
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pip install -e .
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pip install -e .
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```
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```
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