mit-han-lab / fouroversixLinks
Code for the paper “Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling”
☆52Updated this week
Alternatives and similar repositories for fouroversix
Users that are interested in fouroversix are comparing it to the libraries listed below
Sorting:
- Framework to reduce autotune overhead to zero for well known deployments.☆88Updated 2 months ago
- ☆113Updated 6 months ago
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆102Updated 5 months ago
- ☆83Updated 10 months ago
- DeeperGEMM: crazy optimized version☆73Updated 7 months ago
- ☆94Updated last year
- Quantized Attention on GPU☆44Updated last year
- ☆65Updated 7 months ago
- Autonomous GPU Kernel Generation via Deep Agents☆172Updated this week
- extensible collectives library in triton☆91Updated 8 months ago
- ☆39Updated last week
- ☆52Updated 7 months ago
- Building the Virtuous Cycle for AI-driven LLM Systems☆93Updated this week
- Benchmark tests supporting the TiledCUDA library.☆17Updated last year
- ☆14Updated last month
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆123Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆86Updated last year
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆143Updated 3 weeks ago
- FractalTensor is a programming framework that introduces a novel approach to organizing data in deep neural networks (DNNs) as a list of …☆31Updated 11 months ago
- GPTQ inference TVM kernel☆40Updated last year
- ☆51Updated 6 months ago
- A bunch of kernels that might make stuff slower 😉☆65Updated this week
- PyTorch bindings for CUTLASS grouped GEMM.☆132Updated 6 months ago
- A Suite for Parallel Inference of Diffusion Transformers (DiTs) on multi-GPU Clusters☆52Updated last year
- Debug print operator for cudagraph debugging☆14Updated last year
- ☆79Updated 3 weeks ago
- Transformers components but in Triton☆34Updated 6 months ago
- ☆60Updated 2 weeks ago
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆32Updated last year
- ☆113Updated last year