The Phi-3-Mini-4K is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality properties.
Description:
The Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality and reasoning dense properties. The model belongs to the Phi-3 family with the Mini version in two variants 4K and 128K which is the context length (in tokens) that it can support. The model underwent a rigorous enhancement process, incorporating both supervised fine-tuning and direct preference optimization to ensure precise instruction adherence and robust safety measures. Phi-3 Mini has 3.8B parameters and is a dense decoder-only Transformer model.
The model is licensed under the MIT license.
Terms of use:
By accessing this model, you are agreeing to the phi3 Terms and Conditions of the MIT License.
References(s):
- Phi-3-mini-4k-instruct - Model Card
- Phi-3 - Microsoft Blog
Model Architecture:
Architecture Type: Transformer
Input:
Input Format: Text
Input Parameters: None
Output:
Output Format: Text
Output Parameters: None
Software Integration:
Supported Hardware Platform(s): RTX 4090, Ada GPUs
Supported Operating System(s): Windows
Inference:
TRT-LLM Inference Engine
Windows Setup with TRT-LLM
Test Hardware:
RTX 4090