{"repo":"The-Swarm-Corporation/Mamba-R1","free":true,"listed":false,"github":"https://github.com/The-Swarm-Corporation/Mamba-R1","clone":"git clone https://github.com/The-Swarm-Corporation/Mamba-R1.git","description":"Mamba R1 represents a novel architecture that combines the efficiency of Mamba's state space models with the scalability of Mixture of Experts (MoE).","language":"Python","stars":25,"topics":["agents","ai","alibaba","chat","deepseek","qwen","swarm-agents","swarms"],"license":"MIT","category":"chat-messaging","readme_excerpt":"Mamba R1 Mamba R1 represents a novel architecture that combines the efficiency of Mamba's state space models with the scalability of Mixture of Experts (MoE). This implementation achieves superior performance through reduced memory usage and increased token processing capabilities compared to traditional transformer architectures, while maintaining model quality through selective expert routing. Installation Usage Architecture Overview The architecture consists of alternating Mamba blocks and Mixture of Experts feed-forward networks (MoE FFN), allowing for efficient sequence processing while maintaining model capacity through specialized expert networks. Key Components 1. Mamba Blocks - Utilizes selective state space modeling for efficient sequence processing - Features local convolution with width d conv - Implements state space models with d state dimensionality - Linear projections for dimensional control 2. Mixture of Experts (MoE) - Implements Switch Transformer style routing - Supports dynamic expert selection - Features capacity factor for load balancing - Maintains minimum expert capacity for stability 3. Positional Encoding - Rotary embeddings for position-aware processing - Learnable positional parameters - Maximum sequence length of 2048 tokens Advantages Over Traditional Transformers Memory Efficiency - Linear memory scaling with sequence length (O(n)) vs quadratic scaling in transformers (O(n²)) - Reduced attention computation overhead - Efficient state-based pro","default_branch":null,"files":null,"tree":[],"storefront":"/r/The-Swarm-Corporation","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/The-Swarm-Corporation/Mamba-R1/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}