ruikangliu / Quantized-Reasoning-Models
Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"
☆32Updated 3 weeks ago
Alternatives and similar repositories for Quantized-Reasoning-Models
Users that are interested in Quantized-Reasoning-Models are comparing it to the libraries listed below
Sorting:
- Code implementation of GPTQv2 (https://arxiv.org/abs/2504.02692)☆36Updated 3 weeks ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆36Updated 7 months ago
- ☆20Updated 6 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆66Updated 6 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆133Updated 3 months ago
- AFPQ code implementation☆21Updated last year
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆46Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆65Updated last year
- SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference☆47Updated 5 months ago
- ☆28Updated 9 months ago
- Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆81Updated 5 months ago
- LLM Inference with Microscaling Format☆22Updated 6 months ago
- ☆70Updated 3 months ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆36Updated last year
- ☆18Updated last year
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆37Updated 10 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆66Updated 10 months ago
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆49Updated last year
- ☆51Updated last year
- ☆129Updated 3 months ago
- ☆25Updated 6 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆48Updated 8 months ago
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆45Updated last month
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆60Updated 11 months ago
- Official PyTorch implementation of "IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact"☆44Updated 11 months ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆38Updated 2 months ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆47Updated 2 years ago
- 16-fold memory access reduction with nearly no loss☆93Updated last month
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆60Updated last month
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆58Updated last month