[ICLRW'26] EoRA: Fine-tuning-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation
☆50Apr 21, 2026Updated 5 months ago
Alternatives and similar repositories for EoRA
Users that are interested in EoRA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official implementation of ICML'24 paper "LQER: Low-Rank Quantization Error Reconstruction for LLMs"☆19Jul 11, 2024Updated 2 years ago
- [ICML 2025] MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design☆32Jul 4, 2025Updated last year
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆96Apr 8, 2025Updated last year
- ☆14May 4, 2026Updated 5 months ago
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆78Jul 8, 2025Updated last year
- 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.
- PELA: Learning Parameter-Efficient Models with Low-Rank Approximation [CVPR 2024]☆19Apr 14, 2024Updated 2 years ago
- ☆56Nov 5, 2024Updated last year
- [NeurIPS 2025 (spotlight)] HBLLM: Wavelet-Enhanced High-Fidelity 1-Bit Quantization for LLMs☆16Dec 17, 2025Updated 9 months ago
- HALO: Hadamard-Assisted Low-Precision Optimization and Training method for finetuning LLMs. 🚀 The official implementation of https://arx…☆32Feb 17, 2025Updated last year
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆437Feb 14, 2025Updated last year
- LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM…☆1,273Updated this week
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆97Jul 28, 2025Updated last year
- A quantization algorithm for LLM☆153Jun 21, 2024Updated 2 years ago
- Algorithm-System Co-design: accurate and efficient 2-bit KV cache quantization for LLM Inference.☆21May 20, 2026Updated 4 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆22Feb 5, 2024Updated 2 years ago
- [EMNLP 2025] AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models☆18Apr 29, 2026Updated 5 months ago
- [Neurips 2022] “ Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropogation”, Ziyu Jiang*, Xuxi Chen*, Xueqin Huan…☆19Mar 14, 2023Updated 3 years ago
- A video question answering dataset that focuses on the dynamics properties of objects (velocity, acceleration) and their collisions withi…☆20Apr 23, 2025Updated last year
- APOLLO: SGD-like Memory, AdamW-level Performance; MLSys'25 Oustanding Paper Honorable Mention☆365Nov 29, 2025Updated 10 months ago
- High Performance FP8 GEMM Kernels for SM89 and later GPUs.☆21Jan 24, 2025Updated last year
- (AAAI 2026) First-Order Error Matters: Accurate Compensation for Quantized Large Language Models☆17Apr 16, 2026Updated 5 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆23Mar 15, 2024Updated 2 years ago
- ☆25Oct 31, 2024Updated 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.
- [NeurIPS 2025] Speculate Deep and Accurate☆25Aug 10, 2026Updated 2 months ago
- LLM Inference with Microscaling Format☆35Nov 12, 2024Updated last year
- A curated list of awesome adversarial reprogramming and input prompting methods for neural networks since 2022☆40Nov 30, 2023Updated 2 years ago
- ☆12Oct 28, 2025Updated 11 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆11Dec 13, 2023Updated 2 years ago
- MicroMix: Efficient Mixed-Precision Quantization with Microscaling Formats for Large Language Models☆32Apr 2, 2026Updated 6 months ago
- The code of Advancing Expert Specialization for Better MoE (NeurIPS2025 oral)☆35Jan 22, 2026Updated 8 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆228Nov 25, 2025Updated 10 months ago
- ☆36Mar 12, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition☆21Apr 16, 2025Updated last year
- ☆53May 20, 2025Updated last year
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆31Dec 6, 2023Updated 2 years ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆40Sep 24, 2024Updated 2 years ago
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎:https://zhuanlan.zhihu.c…☆30Mar 5, 2025Updated last year
- [ICML 2025] Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts☆36Nov 10, 2025Updated 11 months ago
- LLM Quantization toolkit☆22Jun 11, 2026Updated 4 months ago