LLM Inference with Microscaling Format
☆34Nov 12, 2024Updated last year
Alternatives and similar repositories for MX-QLLM
Users that are interested in MX-QLLM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆175Nov 26, 2025Updated 6 months ago
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆185Nov 11, 2025Updated 7 months ago
- [NeurIPS 2023] Token-Scaled Logit Distillation for Ternary Weight Generative Language Models☆18Dec 6, 2023Updated 2 years ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆71Mar 7, 2024Updated 2 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆51Oct 21, 2023Updated 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.
- The official implementation of the EMNLP 2023 paper LLM-FP4☆224Dec 15, 2023Updated 2 years ago
- BESA is a differentiable weight pruning technique for large language models.☆17Mar 4, 2024Updated 2 years ago
- Quantized Attention on GPU☆44Nov 22, 2024Updated last year
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆92Jul 28, 2025Updated 10 months ago
- [ICML 2024] Official Repository for the paper "Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models"☆10Jul 19, 2024Updated last year
- ☆25Oct 31, 2024Updated last year
- Residual vector quantization for KV cache compression in large language model☆12Oct 22, 2024Updated last year
- Implementation of Microscaling data formats in SystemVerilog.☆33Jul 6, 2025Updated 11 months ago
- [ICML2025] KVTuner: Sensitivity-Aware Layer-wise Mixed Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference☆28Jan 27, 2026Updated 4 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆405Nov 20, 2025Updated 6 months ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆106Jun 2, 2024Updated 2 years ago
- TensorRT-in-Action 是一个 GitHub 代码库，提供了使用 TensorRT 的代码示例，并有对应 Jupyter Notebook。☆15Jun 1, 2023Updated 3 years ago
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆72Jul 8, 2025Updated 11 months ago
- Pytorch implementation of "Oscillation-Reduced MXFP4 Training for Vision Transformers" on DeiT Model Pre-training☆40May 4, 2026Updated last month
- AFPQ code implementation☆23Nov 6, 2023Updated 2 years ago
- ☆35Dec 22, 2025Updated 5 months ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆138May 16, 2024Updated 2 years ago
- ☆30Jul 22, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for the papers: “Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling” and “Adaptive Block-Scaled Data Types”☆193Apr 21, 2026Updated last month
- [ICML 2025] MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design☆28Jul 4, 2025Updated 11 months ago
- MICRO 2024 Evaluation Artifact for FuseMax☆17Aug 26, 2024Updated last year
- Benchmark tests supporting the TiledCUDA library.☆19Nov 19, 2024Updated last year
- ☆18Jul 1, 2023Updated 2 years ago
- MobileLLM-R1☆83Apr 30, 2026Updated last month
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆401Feb 14, 2025Updated last year
- 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
- PB-LLM: Partially Binarized Large Language Models☆157Nov 20, 2023Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Learning to Skip the Middle Layers of Transformers☆17Aug 7, 2025Updated 10 months ago
- super-resolution; post-training quantization; model compression☆14Nov 10, 2023Updated 2 years ago
- Quantize transformers to any learned arbitrary 4-bit numeric format☆58Apr 13, 2026Updated 2 months ago
- ☆122Nov 17, 2023Updated 2 years ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆127Jul 4, 2025Updated 11 months ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆341Apr 10, 2026Updated 2 months ago
- ☆50May 20, 2025Updated last year