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Jamba

LLM & Models Freemium

Jamba is AI21 Labs' hybrid Mamba-Transformer language model combining the efficiency of state space models with the capability of transformers. It achieves a 256K context window with significantly lower memory requirements than pure transformer models of similar size. Jamba excels at long-document processing, summarisation, and tasks requiring extended context retention. The hybrid architecture makes it particularly efficient for processing very long contexts that would be prohibitively expensive with standard transformer models.

💰 Pricing

Freemium

📂 Category

LLM & Models

🏷️ Tags

Mamba, hybrid architecture, 256K context, AI21, efficient

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