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Phi-3-Medium-128k Instruct Int4 RTX

Phi-3-Medium-128k Instruct Int4 RTX

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Logo for Phi-3-Medium-128k Instruct Int4 RTX
Features
Description
The Phi-3-Medium-128K-Instruct is a 14B parameters, lightweight, 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.
Publisher
Microsoft
Latest Version
1.0
Modified
August 9, 2024
Size
8.2 GB

Description:

Phi-3 Medium is a lightweight, state-of-the-art open model. The model belongs to the Phi-3 model family, and the small version comes in two variants 4K and 128K which is the context length (in tokens) 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.

The model is licensed under the MIT license

Terms of use:

By accessing this model, you are agreeing to the Terms and Conditions of the MIT License.

References(s):

  • Phi-3-medium-128k-instruct Model Card
  • Phi-3 blogpost

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