fpgaminer / GPTQ-tritonLinks
GPTQ inference Triton kernel
☆305Updated 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:
- Reorder-based post-training quantization for large language model☆195Updated 2 years ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆377Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆701Updated last year
- ☆119Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆372Updated last year
- ☆195Updated 3 months ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆212Updated last year
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆261Updated last month
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆176Updated 4 months ago
- ☆120Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆319Updated last year
- ☆546Updated 8 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆880Updated 11 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆307Updated 5 months ago
- ☆552Updated 9 months ago
- ☆154Updated 2 years ago
- Fast low-bit matmul kernels in Triton☆349Updated this week
- Easy and Efficient Quantization for Transformers☆201Updated 2 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆277Updated last year
- ☆159Updated last year
- A high-throughput and memory-efficient inference and serving engine for LLMs☆266Updated 10 months ago
- Microsoft Automatic Mixed Precision Library☆616Updated 10 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆80Updated 11 months ago
- This repository contains integer operators on GPUs for PyTorch.☆213Updated last year
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆214Updated last year
- An easy-to-use package for implementing SmoothQuant for LLMs☆104Updated 4 months ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆660Updated 2 weeks ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆138Updated this week
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆226Updated 9 months ago
- Applied AI experiments and examples for PyTorch☆290Updated 2 months ago