LongLLaMA-handle very long text contexts, up to 256,000 tokens vs Magnesia

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LongLLaMA-handle very long text contexts, up to 256,000 tokens
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LongLLaMA-handle very long text contexts, up to 256,000 tokens

LongLLaMA is a large language model designed to handle very long text contexts, up to 256,000 tokens. It's based on OpenLLaMA and uses a technique called Focused Transformer (FoT) for training. The repository provides a smaller 3B version of LongLLaMA for free use. It can also be used as a replacement for LLaMA models with shorter contexts.

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Magnesia
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Magnesia

Magnesia is a NotebookLM alternative built for deep, continuous research conversations with documents, source views, notes, citations, context control, and BYOK usage.

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