☆235Jun 11, 2024Updated last year
Alternatives and similar repositories for LoftQ
Users that are interested in LoftQ are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official PyTorch implementation of QA-LoRA☆147Mar 13, 2024Updated 2 years ago
- ☆129Jan 22, 2024Updated 2 years ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆65Apr 15, 2024Updated 2 years ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆39Sep 24, 2024Updated last year
- PB-LLM: Partially Binarized Large Language Models☆156Nov 20, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆898Nov 26, 2025Updated 6 months ago
- AFPQ code implementation☆23Nov 6, 2023Updated 2 years ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆720Aug 13, 2024Updated last year
- ☆591Oct 29, 2024Updated last year
- The official implementation of the EMNLP 2023 paper LLM-FP4☆224Dec 15, 2023Updated 2 years ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆339Apr 10, 2026Updated last month
- Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"☆123Apr 28, 2024Updated 2 years ago
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆46Oct 17, 2022Updated 3 years ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆138May 16, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆174Nov 26, 2025Updated 6 months ago
- Official implementation of Half-Quadratic Quantization (HQQ)☆939Feb 26, 2026Updated 3 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆509Nov 26, 2024Updated last year
- The official implementation of the DAC 2024 paper GQA-LUT☆22Dec 20, 2024Updated last year
- Evaluation Code repository for the paper "ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers". (2023…☆13Dec 5, 2023Updated 2 years ago
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆233Jan 11, 2025Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆327Mar 4, 2025Updated last year
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆70Mar 7, 2024Updated 2 years ago
- BESA is a differentiable weight pruning technique for large language models.☆17Mar 4, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆53Nov 5, 2024Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆96Sep 4, 2024Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆424Aug 13, 2024Updated last year
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆882Aug 20, 2024Updated last year
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆400Nov 20, 2025Updated 6 months ago
- PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models(NeurIPS 2024 Spotlight)☆425Jun 30, 2025Updated 10 months ago
- ☆233Jun 24, 2024Updated last year
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆35Jun 12, 2024Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆462Jan 16, 2025Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆840Mar 6, 2025Updated last year
- A simple and effective LLM pruning approach.☆864Aug 9, 2024Updated last year
- Pytorch code for paper QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models☆25Sep 27, 2023Updated 2 years ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆340Jul 2, 2024Updated last year
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆473Apr 21, 2024Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆39Aug 20, 2024Updated last year
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,537Jul 17, 2025Updated 10 months ago