thu-ml / Jetfire-INT8TrainingLinks
☆60Updated last year
Alternatives and similar repositories for Jetfire-INT8Training
Users that are interested in Jetfire-INT8Training are comparing it to the libraries listed below
Sorting:
- ☆85Updated 11 months ago
- Code for the paper “Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling”☆110Updated this week
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆171Updated last month
- LLM Inference with Microscaling Format☆34Updated last year
- 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
- ☆93Updated 2 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆271Updated 2 months ago
- Code Repository of Evaluating Quantized Large Language Models☆136Updated last year
- ☆83Updated last year
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆123Updated 6 months ago
- ☆156Updated 11 months ago
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆159Updated 2 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆205Updated last month
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆152Updated 10 months ago
- 16-fold memory access reduction with nearly no loss☆109Updated 9 months ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆87Updated 9 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆80Updated 5 months ago
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆47Updated last year
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆38Updated last year
- ☆40Updated last year
- This repository contains integer operators on GPUs for PyTorch.☆236Updated 2 years ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆76Updated 6 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆140Updated 7 months ago
- SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs☆59Updated 9 months ago
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆117Updated 3 months ago
- AFPQ code implementation☆23Updated 2 years ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆175Updated last year
- HALO: Hadamard-Assisted Low-Precision Optimization and Training method for finetuning LLMs. 🚀 The official implementation of https://arx…☆29Updated 10 months ago
- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆111Updated last year
- Autonomous GPU Kernel Generation via Deep Agents☆211Updated this week