Update README.md

README.md

@@ -30,7 +30,19 @@ To use the chatbot with such docs, run:
 ```bash
 python generate.py --base_model=h2oai/h2ogpt-oig-oasst1-512-6.9b --langchain_mode=UserData
 ```
-using [h2oGPT](https://github.com/h2oai/h2ogpt) .
+using [h2oGPT](https://github.com/h2oai/h2ogpt) .  Any other instruct-tuned base model can be used, including non-h2oGPT ones, as long as required GPU memory is avaialble for given model size.  Or one can choose 8-bit generation.
 
 See also LangChain example use with [test_langchain_simple.py](https://github.com/h2oai/h2ogpt/blob/4637531b928dfa458d708615ebd2cb6454d23064/tests/test_langchain_simple.py)
 
+If one has obtained all databases (except wiki_full) and unzipped them into the current directory, then one can run h2oGPT Chatbot like:
+```bash
+python generate.py --base_model=h2oai/h2ogpt-oasst1-512-12b --load_8bit=True --langchain_mode=UserData --visible_langchain_modes="['UserData', 'wiki', 'MyData', 'github h2oGPT', 'DriverlessAI docs']"
+```
+which uses now 12B model in 8-bit mode, that fits onto single 24GB GPU.
+
+If one has obtained all databases (including wiki_full) and unzipped them into the current directory, then one can run h2oGPT Chatbot like:
+```bash
+python generate.py --base_model=h2oai/h2ogpt-oasst1-512-12b --load_8bit=True --langchain_mode=wiki_full --visible_langchain_modes="['UserData', 'wiki_full', 'MyData', 'github h2oGPT', 'DriverlessAI docs']"
+```
+which will default to wiki_full for QA against full Wikipedia.
+