A beginner's guide to the Phi-3-Mini-4k-Instruct model by Microsoft on Replicate

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This is a simplified guide to an AI model called Phi-3-Mini-4k-Instruct maintained by Microsoft. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Model overview

The phi-3-mini-4k-instruct is a 3.8B parameter, lightweight, state-of-the-art open model trained with the Phi-3 datasets, as described by the maintainer. It is part of the Phi-3 family of models, which includes other variants like the phi-3-mini-128k-instruct and phi-3-mini-128k-instruct that differ in their context length. The Phi-3 models are designed to be high-performing yet memory/compute-constrained, making them suitable for latency-bound scenarios and environments with limited resources.

Model inputs and outputs

The phi-3-mini-4k-instruct model takes text as input and generates text as output. It is particularly well-suited for prompts using a chat format, where the input is structured as a conversation between a user and an assistant.

Inputs

Prompt: The text that the model will use to generate a response.
System Prompt: An optional system prompt that helps guide the model's behavior, such as instructing it to act as a helpful assistant.
Additional parameters: The model also accepts various parameters to control the generation process, such as temperature, top-k and top-p filtering, and stopping sequences.

Outputs

Generated Text: The model's response to the provided prompt, which can be a continuation of the conversation, an answer to a question, or a generated piece of text.