[ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
☆238Jan 11, 2025Updated last year
Alternatives and similar repositories for BiLLM
Users that are interested in BiLLM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PB-LLM: Partially Binarized Large Language Models☆159Nov 20, 2023Updated 2 years ago
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆67Aug 9, 2024Updated 2 years ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆968Nov 26, 2025Updated 11 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆541Nov 26, 2024Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆350Jul 2, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆178Nov 26, 2025Updated 11 months ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆724Aug 13, 2024Updated 2 years ago
- ☆15Apr 6, 2026Updated 7 months ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆400Feb 24, 2024Updated 2 years ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆436Aug 13, 2024Updated 2 years ago
- A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..☆201Jan 14, 2025Updated last year
- Official implementation of Half-Quadratic Quantization (HQQ)☆962Feb 26, 2026Updated 8 months ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆142May 16, 2024Updated 2 years ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆438Nov 20, 2025Updated 11 months 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.
- ☆26Oct 31, 2024Updated 2 years ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆189Apr 24, 2026Updated 6 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆186Jul 12, 2024Updated 2 years ago
- The homepage of OneBit model quantization framework.☆210Feb 5, 2025Updated last year
- ☆236Jun 11, 2024Updated 2 years ago
- Official Pytorch repository for Extreme Compression of Large Language Models via Additive Quantization https://arxiv.org/pdf/2401.06118.p…☆1,331Feb 26, 2026Updated 8 months ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆354Apr 10, 2026Updated 6 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆228Nov 25, 2025Updated 11 months ago
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆137Oct 15, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- AFPQ code implementation☆23Nov 6, 2023Updated 3 years ago
- [ICLR'25] ARB-LLM: Alternating Refined Binarizations for Large Language Models☆31Aug 5, 2025Updated last year
- The official implementation of the EMNLP 2023 paper LLM-FP4☆227Dec 15, 2023Updated 2 years ago
- [ICLR25] STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs☆19Jun 3, 2025Updated last year
- Reorder-based post-training quantization for large language model☆201May 17, 2023Updated 3 years ago
- For releasing code related to compression methods for transformers, accompanying our publications☆464Sep 10, 2026Updated last month
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,663Jul 17, 2025Updated last year
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆902Aug 20, 2024Updated 2 years ago
- [ICCV 2021] Code release for "Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks"☆34Jul 24, 2022Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ACL 2023☆38Jun 6, 2023Updated 3 years ago
- ☆612Oct 29, 2024Updated 2 years ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆99Jul 28, 2025Updated last year
- ☆556Feb 8, 2026Updated 8 months ago
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆16Jun 18, 2023Updated 3 years ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆40Sep 24, 2024Updated 2 years ago
- BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models☆40Feb 4, 2024Updated 2 years ago