Agent

LiquidGRU-SSM

Creator:

swarms_corp

About this agent

LiquidGRU-SSM is a multi-layer hybrid model that blends liquid state-space dynamics with gated recurrent units (GRU) to effectively capture both long-range dependencies and fine-grained temporal nuances in sequential data. Enhanced with rotary embeddings for robust temporal processing and featuring a liquid correction network for dynamic state updates, this versatile model is designed for tasks such as language modeling, time-series forecasting, and other advanced sequence modeling applications.

Requirements

PackageInstallation
torchpip3 install torch
logurupip install loguru

Agent Code

The main implementation code for this agent

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Tags

liquid ssm
GRU
recurrent neural network
rotary embeddings
autoregressive generation
sequence modeling
deep learning
hybrid architecture

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