Jamba vs Jamba 1.5
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Jamba
Jamba is a large language model released by AI21 Labs in March 2024, notable for its hybrid architecture combining Mamba state-space layers with Transformer attention layers in a mixture-of-experts configuration. The model has 52 billion total parameters across eight experts, of which approximately 12 billion are active per token. The hybrid design is intended to provide long-context processing wi...
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Jamba 1.5
Jamba 1.5 is a hybrid large language model developed by AI21 Labs in 2024 that combines Mamba state-space architecture layers with traditional Transformer attention mechanisms. This hybrid approach aims to deliver the computational efficiency of state-space models while maintaining the reasoning capabilities of Transformers, with a context window of 256,000 tokens. The model is available in two ve...
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