A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..
☆200Jan 14, 2025Updated last year
Alternatives and similar repositories for LLaMA3-Quantization
Users that are interested in LLaMA3-Quantization are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆238Jan 11, 2025Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆65Sep 11, 2026Updated last month
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆67Aug 9, 2024Updated 2 years ago
- (AAAI 2026) First-Order Error Matters: Accurate Compensation for Quantized Large Language Models☆17Apr 16, 2026Updated 5 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆433Nov 20, 2025Updated 10 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆72Mar 7, 2024Updated 2 years ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆959Nov 26, 2025Updated 10 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆534Nov 26, 2024Updated last year
- Code Repository for Blog - How to Productionize Large Language Models (LLMs)☆12Mar 27, 2024Updated 2 years ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆227Dec 15, 2023Updated 2 years ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆436Aug 13, 2024Updated 2 years ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆178Nov 26, 2025Updated 10 months ago
- ☆42Mar 28, 2024Updated 2 years ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆348Jul 2, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,384Mar 27, 2024Updated 2 years ago
- Awesome list for LLM quantization☆453Apr 20, 2026Updated 5 months ago
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎:https://zhuanlan.zhihu.c…☆30Mar 5, 2025Updated last year
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆140May 16, 2024Updated 2 years ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,697Jul 12, 2024Updated 2 years ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆134Jul 4, 2025Updated last year
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆434Feb 14, 2025Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆724Aug 13, 2024Updated 2 years ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆353Apr 10, 2026Updated 6 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- BESA is a differentiable weight pruning technique for large language models.☆17Mar 4, 2024Updated 2 years ago
- [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.☆749May 14, 2026Updated 4 months ago
- A quantization algorithm for LLM☆153Jun 21, 2024Updated 2 years ago
- PB-LLM: Partially Binarized Large Language Models☆159Nov 20, 2023Updated 2 years ago
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆135Oct 15, 2025Updated 11 months ago
- Official PyTorch implementation of QA-LoRA☆148Mar 13, 2024Updated 2 years ago
- Fast Matrix Multiplications for Lookup Table-Quantized LLMs☆395Apr 13, 2025Updated last year
- ☆173Mar 9, 2023Updated 3 years ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆97Jul 28, 2025Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆25Oct 31, 2024Updated last year
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆862Mar 6, 2025Updated last year
- [ICML 2026]A framework to compare low-bit integer and float-point formats☆84May 6, 2026Updated 5 months ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆400Feb 24, 2024Updated 2 years ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆352Mar 10, 2026Updated 7 months ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.