zhangsichengsjtu / AFPQ
AFPQ code implementation
☆20Updated last year
Alternatives and similar repositories for AFPQ:
Users that are interested in AFPQ are comparing it to the libraries listed below
- LLM Inference with Microscaling Format☆19Updated 3 months ago
- ☆18Updated 3 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆31Updated 4 months ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆48Updated 2 years ago
- An algorithm for static activation quantization of LLMs☆116Updated 2 weeks ago
- Official PyTorch implementation of FlatQuant: Flatness Matters for LLM Quantization☆102Updated 3 weeks ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆47Updated last year
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆56Updated 3 months ago
- ☆87Updated this week
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆100Updated 9 months ago
- ☆23Updated 3 months ago
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆46Updated 10 months ago
- 16-fold memory access reduction with nearly no loss☆77Updated this week
- Code Repository of Evaluating Quantized Large Language Models☆116Updated 5 months ago
- ☆27Updated 10 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆43Updated last year
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆33Updated 6 months ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆35Updated 11 months ago
- SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models☆15Updated 4 months ago
- Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆78Updated 2 months ago
- SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆27Updated 6 months ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆57Updated 11 months ago
- Official PyTorch implementation of IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact☆40Updated 8 months ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆29Updated last month
- ☆17Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆60Updated 10 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆57Updated 7 months ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆51Updated last week
- ☆61Updated 3 weeks ago
- ☆22Updated 6 months ago