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LongLLaMA-handle very long text contexts, up to 256,000 tokens vs DecTrack
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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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DecTrack
Decision management platform for teams. Structure decisions, analyze options with built-in methods like SWOT and Weighted Scoring, vote as a team, and keep a documented trail of every decision.
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LongLLaMA-handle very long text contexts, up to 256,000 tokens vs GenMix
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