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readme : fix typos

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Georgi Gerganov 2023-03-29 19:38:31 +03:00 committed by GitHub
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@ -229,13 +229,15 @@ cadaver, cauliflower, cabbage (vegetable), catalpa (tree) and Cailleach.
### Using [GPT4All](https://github.com/nomic-ai/gpt4all) ### Using [GPT4All](https://github.com/nomic-ai/gpt4all)
- Obtain the `gpt4all-lora-quantized.bin` model - 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 ```bash
python3 convert-gpt4all-to-ggml.py models/gpt4all-7B/gpt4all-lora-quantized.bin ./models/tokenizer.model 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 ### Obtaining and verifying the Facebook LLaMA original model and Stanford Alpaca model data