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--- |
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base_model: stabilityai/stablelm-2-zephyr-1_6b |
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library_name: transformers |
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pipeline_tag: text-generation |
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datasets: |
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- openchat/openchat_sharegpt4_dataset |
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- ifmain/gpt4myself |
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--- |
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## StableGPT4-Micro-1.6B |
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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. |
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### Usage |
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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. |
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### Example |
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```json |
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{"role": "user", "text": "Hi"} |
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{"role": "assistant", "text": "Hello! How can I help you today? If you have any questions or need assistance, feel free to ask."} |
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{"role": "user", "text": "write hello world in c++"} |
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{"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."} |
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``` |
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### Test |
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You can use gen.py to test the model. |
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### Notes |
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- The model is trained to provide helpful and informative responses based on the input prompts. |
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- While the model strives to maintain coherence and relevance, it may occasionally generate unexpected or nonsensical outputs. |
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Please feel free to experiment with the model and provide feedback on its performance and usability. |
