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readme : fix typos
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@ -229,13 +229,15 @@ cadaver, cauliflower, cabbage (vegetable), catalpa (tree) and Cailleach.
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### Using [GPT4All](https://github.com/nomic-ai/gpt4all)
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- Obtain the `gpt4all-lora-quantized.bin` model
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- It is distributed in the old `ggml` format which is not obsoleted. So you have to convert it to the new format using [./convert-gpt4all-to-ggml.py](./convert-gpt4all-to-ggml.py):
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- It is distributed in the old `ggml` format which is now obsoleted
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- You have to convert it to the new format using [./convert-gpt4all-to-ggml.py](./convert-gpt4all-to-ggml.py):
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```bash
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python3 convert-gpt4all-to-ggml.py models/gpt4all-7B/gpt4all-lora-quantized.bin ./models/tokenizer.model
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```
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- You can now use the newly generated `gpt4all-lora-quantized.bin` model in exactly the same way as all other models. The original model is stored in the same folder with a suffix `.orig`
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- You can now use the newly generated `gpt4all-lora-quantized.bin` model in exactly the same way as all other models
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- The original model is saved in the same folder with a suffix `.orig`
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### Obtaining and verifying the Facebook LLaMA original model and Stanford Alpaca model data
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