Paramathic / slimLinks
SLiM: One-shot Quantized Sparse Plus Low-rank Approximation of LLMs (ICML 2025)
☆32Updated 2 months ago
Alternatives and similar repositories for slim
Users that are interested in slim are comparing it to the libraries listed below
Sorting:
- LLM Inference with Microscaling Format☆34Updated last year
- ☆25Updated last year
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆78Updated 6 months ago
- This repo contains the code for studying the interplay between quantization and sparsity methods☆26Updated 11 months ago
- Official implementation of ICML'24 paper "LQER: Low-Rank Quantization Error Reconstruction for LLMs"☆19Updated 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
- Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition☆17Updated 9 months ago
- Code Repository of Evaluating Quantized Large Language Models☆136Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆172Updated 2 months ago
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆49Updated last year
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆38Updated last year
- AFPQ code implementation☆23Updated 2 years ago
- [ICML 2024] Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆39Updated 11 months ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆87Updated 9 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆84Updated last year
- ☆31Updated last year
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆22Updated 2 months ago
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆67Updated 6 months ago
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆153Updated 11 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆180Updated last year
- ☆60Updated last year
- xKV: Cross-Layer SVD for KV-Cache Compression☆44Updated 2 months ago
- ☆56Updated last year
- ☆38Updated 2 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆80Updated 6 months ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆123Updated 6 months ago
- HALO: Hadamard-Assisted Low-Precision Optimization and Training method for finetuning LLMs. 🚀 The official implementation of https://arx…☆29Updated 11 months ago
- ☆158Updated 11 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆207Updated 2 months ago
- ☆74Updated last month