[ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.
☆140May 16, 2024Updated 2 years ago
Alternatives and similar repositories for BitDistiller
Users that are interested in BitDistiller are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- AFPQ code implementation☆23Nov 6, 2023Updated 2 years ago
- PB-LLM: Partially Binarized Large Language Models☆158Nov 20, 2023Updated 2 years ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆347Apr 10, 2026Updated 4 months ago
- 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
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆177Nov 26, 2025Updated 9 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆132Oct 15, 2025Updated 10 months ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆769Aug 6, 2025Updated last year
- ☆35Apr 2, 2025Updated last year
- BGEMM-CUDA is a CUDA-based low-bit GEMM kernel library for efficient neural network inference. It implements optimized binary and ternary…☆20Aug 30, 2024Updated 2 years ago
- [NeurIPS 2023] Token-Scaled Logit Distillation for Ternary Weight Generative Language Models☆18Dec 6, 2023Updated 2 years ago
- ☆54Nov 5, 2024Updated last year
- Low-bit LLM inference on CPU/NPU with lookup table☆988Jun 5, 2025Updated last year
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆187Apr 24, 2026Updated 4 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆281Jul 16, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆52Oct 21, 2023Updated 2 years ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆433Aug 13, 2024Updated 2 years ago
- ☆15Apr 6, 2026Updated 4 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆431Nov 20, 2025Updated 9 months ago
- LLM Inference with Microscaling Format☆35Nov 12, 2024Updated last year
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆235Jan 11, 2025Updated last year
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆909Nov 26, 2025Updated 9 months ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆31Dec 6, 2023Updated 2 years ago
- Fast Matrix Multiplications for Lookup Table-Quantized LLMs☆394Apr 13, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆50Oct 5, 2022Updated 3 years ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆532Nov 26, 2024Updated last year
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆39Aug 20, 2024Updated 2 years ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆854Mar 6, 2025Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆328Mar 4, 2025Updated last year
- (AAAI 2026) First-Order Error Matters: Accurate Compensation for Quantized Large Language Models☆17Apr 16, 2026Updated 4 months ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆95Apr 8, 2025Updated last year
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆40Sep 24, 2024Updated last year
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆94Jul 28, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆64Aug 9, 2024Updated 2 years ago
- Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models☆49Nov 5, 2024Updated last year
- [ICLR25] STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs☆20Jun 3, 2025Updated last year
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆227Nov 25, 2025Updated 9 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆346Jul 2, 2024Updated 2 years ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆226Dec 15, 2023Updated 2 years ago
- Repository for the QUIK project, enabling the use of 4bit kernels for generative inference - EMNLP 2024☆185Apr 16, 2024Updated 2 years ago