[ICML 2026]A framework to compare low-bit integer and float-point formats
☆82May 6, 2026Updated 3 months ago
Alternatives and similar repositories for INT_vs_FP
Users that are interested in INT_vs_FP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the papers: “Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling” and “Adaptive Block-Scaled Data Types”☆202Apr 21, 2026Updated 3 months ago
- [ASPLOS 2026] M2XFP: A Metadata-Augmented Microscaling Data Format for Efficient Low-bit Quantization.☆16Jan 29, 2026Updated 6 months ago
- ☆116Feb 26, 2026Updated 5 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆343Mar 10, 2026Updated 5 months ago
- PyTorch emulation library for Microscaling (MX)-compatible data formats☆359Jul 17, 2026Updated 3 weeks ago
- 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.
- Tender: Accelerating Large Language Models via Tensor Decompostion and Runtime Requantization (ISCA'24)☆34Jul 4, 2024Updated 2 years ago
- ☆42Mar 28, 2024Updated 2 years ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆224Nov 25, 2025Updated 8 months ago
- ☆158Jul 19, 2025Updated last year
- RobuQ: Pushing DiTS to W1.58A2 via Robust Activation Quantization☆17Jun 28, 2026Updated last month
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆31Dec 6, 2023Updated 2 years ago
- ☆19Nov 11, 2024Updated last year
- LLM Inference with Microscaling Format☆35Nov 12, 2024Updated last year
- Work in progress.☆81Nov 25, 2025Updated 8 months ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs☆28Jun 25, 2024Updated 2 years ago
- ☆124Nov 17, 2023Updated 2 years ago
- ☆23Apr 3, 2026Updated 4 months ago
- ☆37Jul 27, 2026Updated last week
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆93Jul 28, 2025Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆176Nov 26, 2025Updated 8 months ago
- Code for data-aware compression of DeepSeek models☆76Dec 11, 2025Updated 7 months ago
- (AAAI 2026) First-Order Error Matters: Accurate Compensation for Quantized Large Language Models☆17Apr 16, 2026Updated 3 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆167Mar 21, 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.
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆187Apr 24, 2026Updated 3 months ago
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆197Jul 20, 2026Updated 3 weeks ago
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆77Jul 8, 2025Updated last year
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆345Apr 10, 2026Updated 4 months ago
- ☆234Jun 11, 2024Updated 2 years ago
- [HPCA 2026 Best Paper Candidate] Official implementation of "Focus: A Streaming Concentration Architecture for Efficient Vision-Language …☆61Feb 8, 2026Updated 6 months 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
- SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention☆329Feb 24, 2026Updated 5 months ago
- [ICLR'25] R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference☆21Apr 28, 2025Updated last year
- 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.
- ☆22Updated this week
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆530Nov 26, 2024Updated last year
- Pytorch implementation of "Oscillation-Reduced MXFP4 Training for Vision Transformers" on DeiT Model Pre-training☆40May 4, 2026Updated 3 months ago
- BESA is a differentiable weight pruning technique for large language models.☆17Mar 4, 2024Updated 2 years ago
- Code Repository of Evaluating Quantized Large Language Models☆135Sep 8, 2024Updated last year
- [ICLR25] STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs☆20Jun 3, 2025Updated last year
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆131Oct 15, 2025Updated 9 months ago