GPTQ inference Triton kernel
☆321May 18, 2023Updated 3 years ago
Alternatives and similar repositories for GPTQ-triton
Users that are interested in GPTQ-triton are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,394Mar 27, 2024Updated 2 years ago
- 4 bits quantization of LLaMA using GPTQ☆3,070Jul 13, 2024Updated 2 years ago
- ☆165Sep 15, 2023Updated 3 years ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,174Sep 4, 2024Updated 2 years ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Jun 21, 2026Updated 4 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,701Jul 12, 2024Updated 2 years ago
- ☆27Jan 8, 2024Updated 2 years ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆772Aug 6, 2025Updated last year
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆282Jul 16, 2025Updated last year
- Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackab…☆1,584Jan 28, 2026Updated 9 months ago
- Official implementation of Half-Quadratic Quantization (HQQ)☆962Feb 26, 2026Updated 8 months ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,664Jul 17, 2025Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆350Jul 2, 2024Updated 2 years ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆329Mar 4, 2025Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆724Aug 13, 2024Updated 2 years ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆400Feb 24, 2024Updated 2 years ago
- Reorder-based post-training quantization for large language model☆201May 17, 2023Updated 3 years ago
- Cataloging released Triton kernels.☆315Sep 9, 2025Updated last year
- GPTQ inference TVM kernel☆41Apr 25, 2024Updated 2 years ago
- Fast low-bit matmul kernels in Triton☆491Oct 1, 2026Updated last month
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆541Nov 26, 2024Updated last year
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆5,068Apr 11, 2025Updated last year
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆868Mar 6, 2025Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,344May 11, 2025Updated last year
- This repository contains integer operators on GPUs for PyTorch.☆235Sep 29, 2023Updated 3 years ago
- Standalone Flash Attention v2 kernel without libtorch dependency☆113Sep 10, 2024Updated 2 years ago
- ☆158Jun 22, 2023Updated 3 years ago
- Accessible large language models via k-bit quantization for PyTorch.☆8,537Updated this week
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆130Jul 13, 2024Updated 2 years ago
- Repository for CPU Kernel Generation for LLM Inference☆28Jul 13, 2023Updated 3 years ago
- ☆92Jan 23, 2025Updated last year
- Fast Hadamard transform in CUDA, with a PyTorch interface☆357Mar 10, 2026Updated 7 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Implementation of a Transformer, but completely in Triton☆278Apr 5, 2022Updated 4 years ago
- ☆173Mar 9, 2023Updated 3 years ago
- CUDA and Triton implementations of Flash Attention with SoftmaxN.☆75May 26, 2024Updated 2 years ago
- Transformer related optimization, including BERT, GPT☆6,459Mar 27, 2024Updated 2 years ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆162Aug 21, 2025Updated last year
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,904Updated this week
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆539Aug 1, 2024Updated 2 years ago