Turbocharge Your AI with SandLogic Lexicons

We’re excited to announce the launch of SandLogic Lexicons on GitHub, featuring a collection of highly optimized and quantized language models designed for efficiency and performance.

SandLogic Lexicons aims to redefine how AI is deployed, making cutting-edge capabilities more accessible and cost-effective for businesses of all sizes.

As of today, Lexicons are a collection of open-source models that are optimized and quantized efficiently so that enterprises can

Save up to 60% on Training Time.

50% Improvement in Inference Time - Experience double the speed in inference, ensuring real-time performance for critical applications.

Reduced Capex and Opex - With optimized and quantized models, enjoy lower run-time requirements. There is no need for heavy VMs - just efficient, effective AI.

Scalable and Versatile: Lexicons are suited for various applications, from chatbots to advanced NLP tasks, providing robust solutions without the hefty resource demands.

Here are benchmarks

With SandLogic Lexicons, training efficiency improves significantly—33% for an 8 Billion parameter model and 62.5% for a 3 Billion parameter model—by reducing training times from 21 to 14 days and 8 to 3 days, respectively.

With SandLogic Lexicons, inference time efficiency is significantly improved. For an 8B model using a T4 GPU, inference time is reduced from 11 seconds to 5 seconds, showing a 55% improvement. Similarly, using a CPU for a 3B model, inference time is cut from 15 seconds to 11 seconds, demonstrating a 27% efficiency gain.

Explore the SandLogic Lexicons repository and transform your AI capabilities: https://github.com/sandlogic/SandLogic-Lexicons

Join us in making AI more efficient and accessible. Let’s build the future of AI together with smarter, faster, and leaner solutions.

Please fork, put them to your use, and let us know what you need in our upcoming releases.

Turbocharge Your AI with SandLogic Lexicons

Here are benchmarks

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