Gorilla OpenFunctions run locally in Google Colab (ShishirPatil#166)

Added a notebook (titled "gorilla_openfunctions_local.ipynb") which
quantizes the Gorilla OpenFunctions model
(gorilla-llm/gorilla-openfunctions-v1) so that it can run inference
fully self-contained on Colab's free GPU. Although further inference
testing is required, the quantized local model returns the same
responses as the original hosted model for the 3 examples provided.

---------

Co-authored-by: Shishir Patil <[email protected]>

openfunctions/README.md

@@ -67,6 +67,8 @@ uber.ride(loc="berkeley", type="plus", time=10)
 
 ## Running OpenFunctions Locally
 
+You can try this out on our [Local OpenFunctions Colab](https://colab.research.google.com/drive/1I9UJoKh9sngE2MfPfQD5kbn2-twq2xvY?usp=sharing) to see how it works!
+
 If you want to Run OpenFunctions locally, here is the prompt format that we used: 
 
 ```python
@@ -310,7 +312,7 @@ print(resp)
 ```
 
 ### Try Out Self-Hosting OpenFunctions on Colab
-You can try out setting up a local server to self-host the OpenFunctions model using this [Colab notebook](https://colab.research.google.com/drive/1rKbWmz6IpzHenn2-LmEnt0Zy3Mu2xwbw?usp=sharing).
+You can try out setting up a local server to self-host the OpenFunctions model using this [OpenFunctions Self-Hosted Colab notebook](https://colab.research.google.com/drive/1aBxYJ9VncxDRN1-DyMT3J-ozmCRRvSje?usp=sharing).
 Make sure you select an A100/V100 instance to run the notebook – smaller instances like T-4 do not suffice due to memory constraints.
 To remotely access the server running on the Colab instance from a local client, ngrok is used to tunnel the server ports from the Colab instance to public URLs. Instructions for setting up ngrok are provided in the notebook.