From: Georgi Gerganov <redacted>
Date: Wed, 29 Mar 2023 16:38:31 +0000 (+0300)
Subject: readme : fix typos
X-Git-Tag: gguf-v0.4.0~1062
X-Git-Url: https://git.djapps.eu/?a=commitdiff_plain;h=b467702b87461543c75013207e9adc6d20dcc01d;p=pkg%2Fggml%2Fsources%2Fllama.cpp

readme : fix typos
---

diff --git a/README.md b/README.md
index c2323f40..e30452ee 100644
--- a/README.md
+++ b/README.md
@@ -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