☆157Jun 22, 2023Updated 2 years ago
Alternatives and similar repositories for Train_Transformers_with_INT4
Users that are interested in Train_Transformers_with_INT4 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆63Jul 21, 2024Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆720Aug 13, 2024Updated last year
- IntLLaMA: A fast and light quantization solution for LLaMA☆18Jul 21, 2023Updated 2 years ago
- HALO: Hadamard-Assisted Low-Precision Optimization and Training method for finetuning LLMs. 🚀 The official implementation of https://arx…☆29Feb 17, 2025Updated last year
- Reorder-based post-training quantization for large language model☆199May 17, 2023Updated 3 years 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.
- Official implementation for "Pruning Large Language Models with Semi-Structural Adaptive Sparse Training" (AAAI 2025)☆19Jul 1, 2025Updated 10 months ago
- Microsoft Automatic Mixed Precision Library☆636Dec 1, 2025Updated 5 months ago
- ACL 2023☆39Jun 6, 2023Updated 2 years ago
- code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"☆29Oct 31, 2020Updated 5 years ago
- Low-bit optimizers for PyTorch☆138Oct 9, 2023Updated 2 years ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,650Jul 12, 2024Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆174Nov 26, 2025Updated 6 months ago
- GPTQ inference Triton kernel☆322May 18, 2023Updated 3 years ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆898Nov 26, 2025Updated 6 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.
- Pytorch implementation of "Oscillation-Reduced MXFP4 Training for Vision Transformers" on DeiT Model Pre-training☆40May 4, 2026Updated 3 weeks ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆41Mar 24, 2023Updated 3 years ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆49Oct 5, 2022Updated 3 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆39Aug 20, 2024Updated last year
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆264Aug 9, 2025Updated 9 months ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆341Apr 10, 2026Updated last month
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆340Jul 2, 2024Updated last year
- PB-LLM: Partially Binarized Large Language Models☆156Nov 20, 2023Updated 2 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆39Oct 3, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- For releasing code related to compression methods for transformers, accompanying our publications☆463Jan 16, 2025Updated last year
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆180Apr 24, 2026Updated last month
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆51Oct 21, 2023Updated 2 years ago
- AFPQ code implementation☆23Nov 6, 2023Updated 2 years ago
- GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ☆101May 30, 2023Updated 2 years ago
- VPTQ, A Flexible and Extreme low-bit quantization algorithm☆679Apr 25, 2025Updated last year
- ☆235Jun 11, 2024Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆397Feb 24, 2024Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆49Sep 27, 2024Updated last year
- 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.
- ☆54Jul 18, 2024Updated last year
- ☆35Dec 22, 2025Updated 5 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆280Nov 3, 2023Updated 2 years ago
- ☆172Mar 9, 2023Updated 3 years ago
- A selective knowledge distillation algorithm for efficient speculative decoders☆40Nov 27, 2025Updated 6 months ago
- [ECCV 2024] SparseRefine: Sparse Refinement for Efficient High-Resolution Semantic Segmentation☆15Jan 10, 2025Updated last year
- The official implementation of the EMNLP 2023 paper LLM-FP4☆224Dec 15, 2023Updated 2 years ago