Jamba
Discover Jamba, a versatile Hybrid Transformer-Mamba Language Model implemented in PyTorch. Designed for efficient language processing, it features customizable parameters like input dimensionality and model depth. Suitable for researchers and developers working with token-based input data, Jamba offers a straightforward installation via pip and easy training with the supplied train.py script. Explore its integration with PyTorch for enhanced language modeling tasks without unnecessary complexity.