LLMIR

Version 0.0.1

Large Language Model IR Compiler Framework

LLMIR Related Publications

LLMIR Publications

Planned Publications

As LLMIR is a new project in active development, formal publications are currently in preparation. The following represents our publication roadmap as the project matures:

Core LLMIR Architecture

  • LLMIR: A Specialized Intermediate Representation for Large Language Model Inference - A comprehensive overview of the LLMIR architecture, design principles, and implementation strategy.

  • Optimizing KV Cache Management Through LLMIR - A detailed exploration of how LLMIR represents and optimizes key-value caches for transformer models.

  • LLMIR for Quantization: Compiler Support for Efficient LLM Inference - An exploration of LLMIR’s approach to quantization for reduced memory footprint and improved performance.

LLMIR Applications

  • Distributed LLM Inference with LLMIR Pipeline Parallelism - How LLMIR enables efficient distribution of LLM computation across multiple devices.

  • Hardware-Specific Optimizations for LLM Inference: The LLMIR Approach - An exploration of LLMIR’s strategies for targeting different hardware backends.

Technical Documents

In the meantime, we maintain detailed technical documentation:

  • Development Plan - The comprehensive development roadmap for LLMIR, including architectural details and implementation strategies.

  • LLMIR Architecture Overview - Technical overview of the LLMIR system architecture and key components.

Early Adopters & Case Studies

As LLMIR matures, we plan to document case studies on:

  • Integration with vLLM for high-performance inference
  • SGLang and LLMIR for structured generation
  • LLMIR optimization techniques for various hardware targets

Contact for Research Collaboration

If you’re interested in collaborating on LLMIR-related research or publications, please contact the project maintainers through our GitHub repository.