aiha-lab / TSLD
[NeurIPS 2023] Token-Scaled Logit Distillation for Ternary Weight Generative Language Models
☆17Updated last year
Alternatives and similar repositories for TSLD:
Users that are interested in TSLD are comparing it to the libraries listed below
- LLM Inference with Microscaling Format☆20Updated 5 months ago
- AFPQ code implementation☆20Updated last year
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆60Updated last year
- ☆20Updated 5 months ago
- SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆29Updated 8 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆48Updated last year
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆64Updated 9 months ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆46Updated 2 weeks ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆104Updated last week
- This repo contains the code for studying the interplay between quantization and sparsity methods☆17Updated last month
- ☆50Updated last year
- ☆22Updated 3 weeks ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆47Updated last year
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆63Updated 6 months ago
- SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models☆19Updated 6 months ago
- ☆36Updated 5 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆127Updated 2 months ago
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆49Updated last year
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆56Updated 3 weeks ago
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆84Updated 4 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆157Updated 6 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆36Updated 7 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
- Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆36Updated 2 months ago
- ☆18Updated 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
- ☆21Updated 4 months ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆37Updated last month
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆47Updated last year
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆39Updated 10 months ago