FLUX.2-klein-4B is a compact, high-performance C library implementation of the Flux optimization algorithm — an iterative approach for solving large-scale optimization problems common in scientific computing, machine learning, and numerical simulation. Written with a strong emphasis on simplicity, correctness, and performance, it abstracts the core logic of flux-based optimization into a minimal C API that can be embedded in broader applications without pulling in heavy dependencies. Because the implementation is in plain C and focuses on data locality and vectorized operations, flux2.c can be integrated into performance-critical code paths where control over memory layout and execution behavior matters, such as GPU kernels, embedded systems, or custom ML runtime engines.

Features

  • Compact C implementation of the Flux optimization algorithm
  • Minimal dependency footprint for embedded use
  • Focus on performance with data locality and vector-friendly design
  • Clear API for embedding in larger applications
  • Utility functions for optimization primitives
  • Permissive licensing for broad reuse and extension

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AI Models

License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

C

Related Categories

C AI Models

Registered

1 day ago