snu-mllab / GuidedQuantLinks
Official PyTorch implementation of "GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance" (ICML 2025)
☆42Updated last month
Alternatives and similar repositories for GuidedQuant
Users that are interested in GuidedQuant are comparing it to the libraries listed below
Sorting:
- ☆147Updated 2 months ago
- QuIP quantization☆57Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆80Updated 11 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆147Updated 3 months ago
- ☆139Updated 6 months ago
- PB-LLM: Partially Binarized Large Language Models☆153Updated last year
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆42Updated last year
- Work in progress.☆72Updated last month
- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆110Updated 10 months ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆138Updated this week
- Repository for CPU Kernel Generation for LLM Inference☆26Updated 2 years ago
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆95Updated 2 months ago
- KV cache compression for high-throughput LLM inference☆134Updated 6 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆314Updated 7 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆57Updated 3 weeks ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆165Updated last year
- ☆80Updated last month
- ☆20Updated last year
- ☆29Updated last year
- Reorder-based post-training quantization for large language model☆195Updated 2 years ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆75Updated 10 months ago
- ☆81Updated 7 months ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆293Updated 3 months ago
- Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs☆110Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆319Updated last year
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆414Updated 8 months ago
- HALO: Hadamard-Assisted Low-Precision Optimization and Training method for finetuning LLMs. 🚀 The official implementation of https://arx…☆20Updated 6 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆124Updated 8 months ago
- Pytorch implementation of "Oscillation-Reduced MXFP4 Training for Vision Transformers" on DeiT Model Pre-training☆25Updated 2 months ago
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆119Updated last year