Strata fork: Qwen3.8-Flash-Next 125B MoE in NVFP4 on one RTX 20-50 card (12 GB+) and 64 GB of RAM or more. Setup installs our GPTQ quants (huihui abliterated, OrcaRouter) from Hugging Face. CPU experts on AVX-512 or AVX2 (+AVX-VNNI), all experts in RAM from 92 GB, a low-RAM mode below, vision, W4A8 prompts. Windows / CUDA 13.
Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
π Fast prime number generator
A vector index built on TurboQuant, written in Rust with Python bindings
Performance-portable, length-agnostic SIMD with runtime dispatch
Implementations of SIMD instruction sets for systems which don't natively support them.
C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, AVX512, NEON, SVE, WebAssembly, VSX, RISC-V))
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE for ARM, HVX for Hexagon
Fast, modern C++ DSP framework, FFT, Sample Rate Conversion, FIR/IIR/Biquad Filters (SSE, AVX, AVX-512, ARM NEON, RISC-V RVV)
Expressive Vector Engine - SIMD in C++ Goes Brrrr
C++ template library for high performance SIMD based sorting algorithms
Library for specialized dense and sparse matrix operations, and deep learning primitives.
a pure C# implementation of GCDRNet (Appearance Enhancement for Camera-captured Document Images in the Wild, IEEE TAI 2023) β document-image shadow removal and appearance enhancement without onnxruntime or any other third-party inference engine. It ships its own compiled-model inference engine