IST-DASLab / QUIKLinks
Repository for the QUIK project, enabling the use of 4bit kernels for generative inference - EMNLP 2024
☆184Updated last year
Alternatives and similar repositories for QUIK
Users that are interested in QUIK are comparing it to the libraries listed below
Sorting:
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆280Updated 2 years ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆335Updated last year
- scalable and robust tree-based speculative decoding algorithm☆366Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆93Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆395Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆404Updated last year
- Fast low-bit matmul kernels in Triton☆427Updated last week
- PB-LLM: Partially Binarized Large Language Models☆157Updated 2 years ago
- GPTQ inference Triton kernel☆321Updated 2 years ago
- ☆120Updated last year
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆276Updated 6 months ago
- Reorder-based post-training quantization for large language model☆199Updated 2 years ago
- This repository contains the experimental PyTorch native float8 training UX☆227Updated last year
- ☆157Updated 2 years ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆480Updated last year
- Triton-based implementation of Sparse Mixture of Experts.☆263Updated 4 months ago
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆229Updated last year
- ☆163Updated 7 months ago
- ☆577Updated last year
- The official implementation of the EMNLP 2023 paper LLM-FP4☆220Updated 2 years ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆356Updated 2 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆260Updated last year
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆127Updated last year
- Tilus is a tile-level kernel programming language with explicit control over shared memory and registers.☆440Updated last month
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆120Updated last year
- Applied AI experiments and examples for PyTorch☆315Updated 5 months ago
- Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance…☆157Updated 10 months ago
- ☆158Updated 11 months ago
- KV cache compression for high-throughput LLM inference☆151Updated last year
- A high-throughput and memory-efficient inference and serving engine for LLMs☆267Updated 2 months ago