neural-speed is an innovative library developed by Intel to enhance the efficiency of Large Language Model (LLM) inference through low-bit quantization techniques. By reducing the precision of model weights and activations, neural-speed aims to accelerate inference while maintaining model accuracy, making it suitable for deployment in resource-constrained environments.

Features

  • Low-bit quantization for LLMs​
  • Accelerates inference performance​
  • Maintains model accuracy​
  • Suitable for resource-constrained environments​
  • Developed by Intel​
  • Supports various LLM architectures​
  • Open-source library​
  • Comprehensive documentation​
  • Facilitates efficient AI deployments​

Project Samples

Project Activity

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Categories

LLM Inference

License

Apache License V2.0

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Neural Speed Web Site

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

C++

Related Categories

C++ LLM Inference Tool

Registered

2025-03-18