cosmetics

README.md

@@ -28,7 +28,7 @@ For questions, discussing, or just hanging out, come and join our <a href="https
 ![Windows](https://img.shields.io/badge/Windows-0078D6?style=for-the-badge&logo=windows&logoColor=white)
 ![Docker](https://img.shields.io/badge/docker-%230db7ed.svg?style=for-the-badge&logo=docker&logoColor=white)
 
-GPU mode requires CUDA support via torch and transformers.  A 6.9B (or 12GB) model in 8-bit uses 7GB (or 13GB) of GPU memory. 4-bit precision can further reduce memory requirements.
+GPU mode requires CUDA support via torch and transformers.  A 6.9B (or 12GB) model in 8-bit uses 7GB (or 13GB) of GPU memory. 8-bit or 4-bit precision can further reduce memory requirements.
 
 [CPU](FAQ.md#CPU) mode uses GPT4ALL and LLaMa.cpp, e.g. gpt4all-j, requiring about 14GB of system RAM in typical use.
 
@@ -90,7 +90,7 @@ cd h2ogpt
 pip install -r requirements.txt
 python generate.py --base_model=h2oai/h2ogpt-oig-oasst1-512-6_9b --load_8bit=True
 ```
-Then point browser at http://0.0.0.0:7860 (linux) or http://localhost:7860 (windows/mac) or the public live URL printed by the server (disable shared link with `--share=False`).  For 4-bit 8-bit support, older GPUs may require older bitsandbytes installed as `pip uninstall bitsandbytes -y ; pip install bitsandbytes==0.38.1`.
+Then point browser at http://0.0.0.0:7860 (linux) or http://localhost:7860 (windows/mac) or the public live URL printed by the server (disable shared link with `--share=False`).  For 4-bit or 8-bit support, older GPUs may require older bitsandbytes installed as `pip uninstall bitsandbytes -y ; pip install bitsandbytes==0.38.1`.
 
 For quickly using a private document collection for Q/A, place documents (PDFs, text, etc.) into a folder called `user_path` and run
 ```bash