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	readme : fix typos
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		| @@ -229,13 +229,15 @@ cadaver, cauliflower, cabbage (vegetable), catalpa (tree) and Cailleach. | ||||
| ### Using [GPT4All](https://github.com/nomic-ai/gpt4all) | ||||
|  | ||||
| - Obtain the `gpt4all-lora-quantized.bin` model | ||||
| - 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): | ||||
| - It is distributed in the old `ggml` format which is now obsoleted | ||||
| - You have to convert it to the new format using [./convert-gpt4all-to-ggml.py](./convert-gpt4all-to-ggml.py): | ||||
|  | ||||
|   ```bash | ||||
|   python3 convert-gpt4all-to-ggml.py models/gpt4all-7B/gpt4all-lora-quantized.bin ./models/tokenizer.model  | ||||
|   ``` | ||||
|    | ||||
| - 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` | ||||
| - 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 saved in the same folder with a suffix `.orig` | ||||
|  | ||||
| ### Obtaining and verifying the Facebook LLaMA original model and Stanford Alpaca model data | ||||
|  | ||||
|   | ||||
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	 Georgi Gerganov
					Georgi Gerganov