AI BriefingIBM Unveils Hybrid Mamba2 Model
Key point
IBM and researchers from major universities have unveiled Bamba-9B, a hybrid Mamba2 model that maximizes inference efficiency.
Details
Bamba-9B, jointly developed by researchers at IBM, Princeton, CMU, and UIUC, is a hybrid Mamba2 model with improved inference efficiency.
In tests conducted in a vLLM environment, it achieved 2.5x throughput improvement and 2x latency reduction compared to standard Transformer models.
The model was trained entirely on fully open data, and supports the following key libraries so developers can use it immediately:
transformersvLLMTRLllama.cpp
Along with the model, the researchers have released tuning, training, and extended pretraining recipes as well as a stateful data loader, encouraging research and experimentation by the community.
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