AFPQ code implementation
☆23Nov 6, 2023Updated 2 years ago
Alternatives and similar repositories for AFPQ
Users that are interested in AFPQ are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆139May 16, 2024Updated 2 years ago
- ☆15Sep 24, 2023Updated 2 years ago
- 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 2023] Token-Scaled Logit Distillation for Ternary Weight Generative Language Models☆18Dec 6, 2023Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆39Aug 20, 2024Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆30Dec 6, 2023Updated 2 years ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆29Dec 6, 2023Updated 2 years ago
- ☆30Jul 22, 2024Updated 2 years ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆41Sep 24, 2024Updated last year
- PB-LLM: Partially Binarized Large Language Models☆158Nov 20, 2023Updated 2 years ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆225Dec 15, 2023Updated 2 years ago
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆62Aug 9, 2024Updated last year
- ☆25Oct 31, 2024Updated last year
- Official repository for "Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration", which has been …☆17Sep 29, 2025Updated 9 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- 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
- Code for "RSQ: Learning from Important Tokens Leads to Better Quantized LLMs"☆23Mar 25, 2026Updated 4 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆176Nov 26, 2025Updated 8 months ago
- [ICCV 2025] QuantCache：Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation☆18Sep 26, 2025Updated 10 months ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆49Sep 27, 2024Updated last year
- An Tensorflow.keras implementation of Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorizatio…☆10Dec 18, 2019Updated 6 years ago
- LLM Inference with Microscaling Format☆35Nov 12, 2024Updated last year
- ☆172Mar 9, 2023Updated 3 years ago
- ☆54Nov 5, 2024Updated last year
- 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.
- The official code for "Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation" | [MM2…☆14Dec 7, 2024Updated last year
- ☆12Jul 30, 2025Updated 11 months ago
- ☆25Dec 11, 2021Updated 4 years ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆93Mar 17, 2025Updated last year
- ☆16Nov 14, 2022Updated 3 years ago
- (AAAI 2026) First-Order Error Matters: Accurate Compensation for Quantized Large Language Models☆16Apr 16, 2026Updated 3 months ago
- ☆234Jun 11, 2024Updated 2 years ago
- ☆28Nov 29, 2023Updated 2 years ago
- BESA is a differentiable weight pruning technique for large language models.☆17Mar 4, 2024Updated 2 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.
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆158Aug 21, 2025Updated 11 months ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆39Oct 3, 2023Updated 2 years ago
- HALO: Hadamard-Assisted Low-Precision Optimization and Training method for finetuning LLMs. 🚀 The official implementation of https://arx…☆31Feb 17, 2025Updated last year
- A 8-/16-/32-/64-bit floating point number family☆16Feb 4, 2022Updated 4 years ago
- ☆35Mar 28, 2025Updated last year
- Official implementation of the ICML 2024 paper RoSA (Robust Adaptation)☆46May 20, 2026Updated 2 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆223Nov 25, 2025Updated 8 months ago