ifmain commited on
Commit
7e18f62
1 Parent(s): fa473e1

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +23 -1
README.md CHANGED
@@ -7,4 +7,26 @@ datasets:
7
  - ifmain/gpt4myself
8
  ---
9
 
10
- 5 sec
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7
  - ifmain/gpt4myself
8
  ---
9
 
10
+ ## StableGPT4-Micro-1.6B
11
+
12
+ StableGPT4-Micro-1.6B is a conversational AI model trained on the ChatGPT chats, designed to generate text-based responses for various conversational scenarios. This model has been fine-tuned and optimized for stability and reliability, providing coherent and contextually appropriate responses across a wide range of topics.
13
+
14
+ ### Usage
15
+
16
+ You can interact with the StableGPT4-Micro-1.6B model by providing it with prompts in JSON format. Each prompt should include the role of the speaker ("user" or "assistant") and the text of their message.
17
+
18
+ ### Example
19
+
20
+ ```json
21
+ {"role": "user", "text": "Hi"}
22
+ {"role": "assistant", "text": "Hello! How can I help you today? If you have any questions or need assistance, feel free to ask."}
23
+ {"role": "user", "text": "write hello world in c++"}
24
+ {"role": "assistant", "text": "Here's a simple `HelloWorld` program in C++:\n```cpp\n#include <iostream>\n\nint main() {\n std::cout << \"Hello, World!\" << std::endl;\n return 0;\n}\n```\nThis code uses the `<iostream>` standard library to create a `std::cout` stream and print the string \"Hello, World!\" to the standard output. The `return 0` statement indicates that the program has finished running and returns the control to the user. You can run this program on your C++ compiler's command line or integrated development environment (IDE) to see the output."}
25
+ ```
26
+
27
+ ### Notes
28
+
29
+ - The model is trained to provide helpful and informative responses based on the input prompts.
30
+ - While the model strives to maintain coherence and relevance, it may occasionally generate unexpected or nonsensical outputs.
31
+
32
+ Please feel free to experiment with the model and provide feedback on its performance and usability.