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@@ -4,7 +4,7 @@ library_name: unity-sentis
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  pipeline_tag: text-generation
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  ---
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- # Tiny Stories Model in Unity Sentis Format
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  This is the [Microsoft Phi 1.5](https://huggingface.co/microsoft/phi-1_5) checked to run on Unity 2023. Phi 1.5 is a Large Language Model that was trained on synthesized data.
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@@ -17,25 +17,28 @@ This is the [Microsoft Phi 1.5](https://huggingface.co/microsoft/phi-1_5) checke
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  * Press run
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  * The output will appear in the console window
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  ## Example Input
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  ```
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- One day an alien came down from Mars. It saw a chicken
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  ```
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  ## Example Output
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  ```
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- One day an alien came down from Mars. It saw a chicken and said, "Hello, little chicken. What are you doing here?"
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- The chicken replied, "I'm looking for a place to stay. I'm very tired."
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- The alien said, "You can stay here. I have a nice place for you. It's very comfortable."
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- The chicken was so happy. She thanked the alien and said, "Thank you. I'm very comfortable here."
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- The alien smiled and said, "You're welcome
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  ```
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  ## Unity Sentis
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  Unity Sentis is the inference engine which runs on Unity 2023. More can be found about it [here](https://unity.com/products/sentis)
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  ## Disclaimer
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- The model was trained on children's stories so very unlikely to produce undesirable text. As an extra precaution, we removed a few tokens from vocab.json that might not be suitable for younger audiences. The original json can be found on the Tiny Stories original page.
 
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  pipeline_tag: text-generation
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  ---
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+ # Phi 1.5 Model in Unity Sentis Format
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  This is the [Microsoft Phi 1.5](https://huggingface.co/microsoft/phi-1_5) checked to run on Unity 2023. Phi 1.5 is a Large Language Model that was trained on synthesized data.
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  * Press run
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  * The output will appear in the console window
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+ ## Information
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+ This is the float32 version so it requires a lot of RAM (16GB) and VRAM (8GB). With less RAM it may take a long time to load. In the future we may add the float16 or uint8 quantized versions.
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+
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  ## Example Input
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  ```
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+ Once upon a time, there were three
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  ```
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  ## Example Output
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  ```
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+ Once upon a time, there were three friends named Alice, Bob, and Carol. They were all passionate about mathematics and loved solving complex problems together. One day, they came across a challenging problem that required them to find the area of a triangle using the Pythagorean theorem.
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+ Alice, being the most experienced in geometry, took the lead and explained the steps to her friends. "To find the area of a triangle, we need to multiply the base by the height and divide the result by 2," she said confidently.
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+ Bob, who was always curious, asked, "But why do we divide the result by 2? Can't we just multiply the base and height?"
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+ Alice smiled and replied, "That's a great question, Bob. We divide by 2 because the area of a triangle is half of the product of its base and height. It's a fundamental concept in geometry."
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+ Carol, who had been listening intently, added, "So, if we have a triangle with...
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  ```
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  ## Unity Sentis
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  Unity Sentis is the inference engine which runs on Unity 2023. More can be found about it [here](https://unity.com/products/sentis)
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  ## Disclaimer
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+ Like any LLM, this model has the possibility to generate undesirable or untruthful text. Use at your discretion.