added base model

README.md

@@ -13,12 +13,18 @@ tags:
 - neo4j
 inference: false
 widget:
-- text: "Show me the people who have Python and Cloud skills and have been in the company for at least 3 years."
-  example_title: "Example 1"
-- text: "What is the IMDb rating of Pulp Fiction?"
-  example_title: "Example 2"
-- text: "Display the first 3 users followed by 'Neo4j' who have more than 10000 followers."
-  example_title: "Example 3"
+- text: >-
+    Show me the people who have Python and Cloud skills and have been in the
+    company for at least 3 years.
+  example_title: Example 1
+- text: What is the IMDb rating of Pulp Fiction?
+  example_title: Example 2
+- text: >-
+    Display the first 3 users followed by 'Neo4j' who have more than 10000
+    followers.
+  example_title: Example 3
+base_model:
+- stabilityai/stable-code-instruct-3b
 ---
 
 ## Model Description
@@ -184,4 +190,4 @@ I used llama.cpp to merge the LoRa and generate the quants.
 
 The progress achieved from the base model is significant but you will still need to finetune on your company's syntax and entities.
 I've been tickering with the training parameters for a few batches of training but there is room for improvements.
-I'm open to the idea of making a full tutorial if there is enough interest in this project.
+I'm open to the idea of making a full tutorial if there is enough interest in this project.