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authorGeorgi Gerganov <ggerganov@gmail.com>2023-03-29 19:38:31 +0300
committerGitHub <noreply@github.com>2023-03-29 19:38:31 +0300
commitb467702b87461543c75013207e9adc6d20dcc01d (patch)
treee75d0512a385be0336164b9a31afa83c20d74521
parent516d88e75c9e768c0001a452dbad212494c586b3 (diff)
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