Phi-3-mini-128k-instruct
Maintainer: microsoft
1.3K
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
The phi-3-mini-128k-instruct is a 3.8 billion-parameter, lightweight, state-of-the-art open model trained using the Phi-3 datasets. It is part of the Phi-3 family, which also includes the Phi-3-mini-4k-instruct and Phi-3-mini-128k-instruct models. The Phi-3 models are designed to be efficient and effective, with a focus on reasoning capabilities like code, math, and logic.
Model inputs and outputs
The phi-3-mini-128k-instruct model takes text as input and generates text in response. It is best suited for prompts using a chat format, where the user provides a prompt and the model generates a relevant response.
Inputs
- Prompt: The text prompt to send to the model.
- Max Length: The maximum number of tokens to generate.
- Temperature: Adjusts the randomness of the outputs, with higher values being more random.
- Top K: Samples from the top K most likely tokens when decoding text.
- Top P: Samples from the top P percentage of most likely tokens when decoding text.
- Repetition Penalty: Penalty for repeated words in the generated text.
- System Prompt: The system prompt provided to the model.
- Seed: The seed for the random number generator.
Outputs
- Generated Text: The text generated by the model in response to the input prompt.
Capabilities
The phi-3-mini-128k-instruct model has demonstrated robust and state-of-the-art performance on a variety of benchmarks, including common sense reasoning, language understanding, mathematics, coding, and logical reasoning. It is designed to be effective in memory/compute-constrained environments and latency-bound scenarios, while providing strong reasoning capabilities.
What can I use it for?
The phi-3-mini-128k-instruct model is intended for commercial and research use in English. It can be used as a building block for generative AI-powered features, such as chatbots, language-generation tools, and code assistants. The model's small size and strong reasoning abilities make it particularly well-suited for use in applications that require efficient and effective language processing.
Things to try
One interesting aspect of the phi-3-mini-128k-instruct model is its ability to follow instructions and adhere to safety measures. You could try prompting the model with tasks that require following specific instructions or navigating complex scenarios, and see how it responds. Additionally, you could experiment with using the model in combination with other AI tools or datasets to explore new and innovative applications.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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