fpgaminer / GPTQ-tritonLinks
GPTQ inference Triton kernel
☆316Updated 2 years ago
Alternatives and similar repositories for GPTQ-triton
Users that are interested in GPTQ-triton are comparing it to the libraries listed below
Sorting:
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆711Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆392Updated last year
- ☆206Updated 8 months ago
- Reorder-based post-training quantization for large language model☆197Updated 2 years ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆397Updated last year
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆184Updated 9 months ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆219Updated 2 years ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆332Updated last year
- ☆551Updated last year
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆276Updated 5 months ago
- ☆123Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆321Updated 10 months ago
- ☆120Updated last year
- ☆160Updated 2 years ago
- Easy and Efficient Quantization for Transformers☆202Updated 6 months ago
- Microsoft Automatic Mixed Precision Library☆634Updated last month
- ☆576Updated last year
- ☆157Updated 2 years ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆978Updated last year
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆279Updated 2 years ago
- This repository contains integer operators on GPUs for PyTorch.☆236Updated 2 years ago
- A high-throughput and memory-efficient inference and serving engine for LLMs☆268Updated last month
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆220Updated last year
- An easy-to-use package for implementing SmoothQuant for LLMs☆110Updated 9 months ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆153Updated 4 months ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆741Updated 5 months ago
- Fast low-bit matmul kernels in Triton☆418Updated 3 weeks ago
- Applied AI experiments and examples for PyTorch☆312Updated 4 months ago
- For releasing code related to compression methods for transformers, accompanying our publications☆454Updated 11 months ago
- ☆115Updated last year