microsoft / Moonlit
This is a collection of our research on efficient AI, covering hardware-aware NAS and model compression.
☆83Updated 6 months ago
Alternatives and similar repositories for Moonlit
Users that are interested in Moonlit are comparing it to the libraries listed below
Sorting:
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆61Updated last year
- [ICLR 2024] Jaiswal, A., Gan, Z., Du, X., Zhang, B., Wang, Z., & Yang, Y. Compressing llms: The truth is rarely pure and never simple.☆24Updated 3 weeks ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆46Updated last year
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆31Updated 9 months ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆106Updated 3 weeks ago
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆49Updated last year
- LLM Inference with Microscaling Format☆22Updated 6 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆49Updated last year
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆111Updated 11 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆133Updated 3 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆36Updated 7 months ago
- AFPQ code implementation☆21Updated last year
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆47Updated 2 years ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆58Updated last month
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆66Updated 6 months ago
- ☆147Updated last year
- ☆52Updated 2 weeks ago
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆55Updated 10 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆161Updated 10 months ago
- ☆51Updated last year
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆85Updated 5 months ago
- Code implementation of GPTQv2 (https://arxiv.org/abs/2504.02692)☆36Updated 3 weeks ago
- Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆32Updated 2 weeks ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆48Updated last month
- Code Repository of Evaluating Quantized Large Language Models☆123Updated 8 months ago
- ☆20Updated 6 months ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆118Updated last year
- This repo contains the code for studying the interplay between quantization and sparsity methods☆18Updated 2 months ago
- ☆128Updated 2 months ago
- ☆29Updated last year