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Lobsters lets users query neural network weights like a graph database

LARQL is a new tool that allows users to query neural network weights as if they were in a graph database, eliminating the need for GPUs. It decompiles transformer models into a queryable format called a vindex and uses a query language called LQL to browse, edit, and recompile model knowledge. The tool supports various extraction levels, quantization, and slicing for different deployment scenarios, enabling efficient local inference or distributed setups. AI

RANK_REASON Release of an open-source tool for querying neural network weights.

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Lobsters lets users query neural network weights like a graph database

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  1. Lobsters — AI tag TIER_1 English(EN) · github.com via sylq ·

    LARQL - Query neural network weights like a graph database

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