xvyaward / owqView external linksLinks
Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models".
☆69Mar 7, 2024Updated last year
Alternatives and similar repositories for owq
Users that are interested in owq are comparing it to the libraries listed below
Sorting:
- ☆52Nov 5, 2024Updated last year
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆50Oct 21, 2023Updated 2 years ago
- ☆30Jul 22, 2024Updated last year
- LLM Inference with Microscaling Format☆34Nov 12, 2024Updated last year
- PB-LLM: Partially Binarized Large Language Models☆156Nov 20, 2023Updated 2 years ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆134May 16, 2024Updated last year
- ☆25Oct 31, 2024Updated last year
- AFPQ code implementation☆23Nov 6, 2023Updated 2 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆38Oct 3, 2023Updated 2 years ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆123Jul 4, 2025Updated 7 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆172Nov 26, 2025Updated 2 months ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆37Aug 20, 2024Updated last year
- [ICML 2024] Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆39Feb 4, 2025Updated last year
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆60Mar 23, 2023Updated 2 years ago
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆41Sep 9, 2025Updated 5 months ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆49Oct 5, 2022Updated 3 years ago
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆67Jul 8, 2025Updated 7 months ago
- FireQ: Fast INT4-FP8 Kernel and RoPE-aware Quantization for LLM Inference Acceleration☆20Jun 27, 2025Updated 7 months ago
- ☆19Nov 6, 2023Updated 2 years ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆322Mar 4, 2025Updated 11 months ago
- ☆129Jan 22, 2024Updated 2 years ago
- A quantization algorithm for LLM☆148Jun 21, 2024Updated last year
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆356Nov 20, 2025Updated 2 months ago
- A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..☆198Jan 14, 2025Updated last year
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Mar 4, 2024Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆404Aug 13, 2024Updated last year
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆31Mar 12, 2024Updated last year
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆211Nov 25, 2025Updated 2 months ago
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆51Aug 9, 2024Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆396Feb 24, 2024Updated last year
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆887Nov 26, 2025Updated 2 months ago
- List of papers related to neural network quantization in recent AI conferences and journals.☆800Mar 27, 2025Updated 10 months ago
- ☆25Dec 11, 2021Updated 4 years ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆327Nov 26, 2025Updated 2 months ago
- ☆18Jul 1, 2023Updated 2 years ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Apr 15, 2024Updated last year
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆228Jan 11, 2025Updated last year
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆28Dec 6, 2023Updated 2 years ago
- Scaling Sparse Fine-Tuning to Large Language Models☆18Jan 31, 2024Updated 2 years ago