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@Tensorbit-Labs

Tensorbit Labs

Democratizing frontier AI by making high-performance, sparse inference a reality on local, everyday hardware.

Tensorbit Labs

Democratizing frontier AI by making high-performance, sparse inference a reality on local, everyday hardware.

Our Vision

We are building the architectural bridge between massive, frontier-level models and accessible, low-tech hardware. Our mission is to empower local systems to run state-of-the-art AI by eliminating the necessity for massive cloud clusters and high-end hardware. We achieve this through our specialized P-D-Q (Pruning, Distillation, Quantization) pipeline, designed to compress and optimize LLMs and ViTs without sacrificing cognitive integrity.

Tensorbit Models

Projects

  • Tensorbit Core:

Roadmap & Research

Tensorbit Labs is currently aiming to set new benchmarks for high-performance inference on consumer-grade hardware. Our goal is to empower AI to run on the hardware on your desk and in your hand.

Status: Core Pruning Engine (In Progress)

Pinned Loading

  1. tensorbit-core tensorbit-core Public

    High-performance C++ engine for Second-Order Hessian Pruning. The surgical foundation of the Tensorbit Labs P-D-Q pipeline for ultra-efficient LLM and Vision Transformers edge inference.

    C++ 1

  2. tensorbit-models tensorbit-models Public

    Official library of pre-optimized Tensorbit models. Ready-to-deploy LLMs and Vision Transformers for edge hardware, optimized via the Tensorbit P-D-Q pipeline.

  3. tensorbit-distill tensorbit-distill Public

  4. tensorbit-quant tensorbit-quant Public

  5. tensorbit-run tensorbit-run Public

  6. tensorbit-bench tensorbit-bench Public

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