IST-DASLab / EvoPress
☆20Updated last month
Alternatives and similar repositories for EvoPress:
Users that are interested in EvoPress are comparing it to the libraries listed below
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆59Updated 9 months ago
- Code Repository of Evaluating Quantized Large Language Models☆121Updated 6 months ago
- SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆28Updated 7 months ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆100Updated 3 months ago
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆47Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆123Updated last month
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆52Updated last month
- LLM Inference with Microscaling Format☆20Updated 4 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆59Updated 5 months ago
- SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models☆17Updated 5 months ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆58Updated last year
- ☆49Updated 10 months ago
- SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference☆45Updated 4 months ago
- AFPQ code implementation☆20Updated last year
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆91Updated last month
- ☆39Updated 4 months ago
- This repo contains the code for studying the interplay between quantization and sparsity methods☆15Updated last month
- ☆50Updated last year
- ☆24Updated 4 months ago
- Official implementation for Yuan & Liu & Zhong et al., KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark o…☆67Updated last month
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆77Updated 3 months ago
- [NeurIPS 2023] Token-Scaled Logit Distillation for Ternary Weight Generative Language Models☆17Updated last year
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆31Updated 2 months ago
- The Official Implementation of Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference☆67Updated 2 months ago
- ☆52Updated last year
- Official PyTorch implementation of IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact☆43Updated 10 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆149Updated 5 months ago
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆51Updated 9 months ago
- Official PyTorch implementation of FlatQuant: Flatness Matters for LLM Quantization☆112Updated this week
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆157Updated 8 months ago