SqueezeBits / QUICKLinks
QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference
☆118Updated last year
Alternatives and similar repositories for QUICK
Users that are interested in QUICK are comparing it to the libraries listed below
Sorting:
- ☆85Updated 11 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆333Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆90Updated last year
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆276Updated 5 months ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆123Updated 6 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆175Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆139Updated 7 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆397Updated last year
- ☆156Updated 10 months ago
- This repository contains integer operators on GPUs for PyTorch.☆236Updated 2 years ago
- Applied AI experiments and examples for PyTorch☆312Updated 4 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆231Updated 2 years ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆219Updated 2 years ago
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆159Updated 2 months ago
- ☆60Updated last year
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆153Updated 4 months ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆68Updated last year
- Fast low-bit matmul kernels in Triton☆418Updated 3 weeks ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆271Updated 2 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆136Updated last year
- ☆83Updated last year
- Code for the paper “Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling”☆104Updated last week
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆204Updated last month
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆170Updated last month
- An easy-to-use package for implementing SmoothQuant for LLMs☆110Updated 9 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆470Updated last year
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆253Updated last year
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆151Updated 10 months ago
- LLM Inference with Microscaling Format☆34Updated last year
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆308Updated this week