haochengxi / Train_Transformers_with_INT4Links
☆157Updated 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
Sorting:
- The official implementation of the EMNLP 2023 paper LLM-FP4☆218Updated last year
- Reorder-based post-training quantization for large language model☆197Updated 2 years ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆170Updated last year
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆129Updated 2 years ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆323Updated 9 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆331Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆391Updated last year
- Low-bit optimizers for PyTorch☆132Updated 2 years ago
- This repository contains integer operators on GPUs for PyTorch.☆223Updated 2 years ago
- ☆154Updated 9 months ago
- ☆235Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆166Updated last week
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆227Updated 10 months ago
- ☆159Updated 2 years ago
- ☆113Updated last year
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆250Updated 3 months ago
- PB-LLM: Partially Binarized Large Language Models☆157Updated 2 years ago
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆63Updated last year
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆129Updated last year
- Get down and dirty with FlashAttention2.0 in pytorch, plug in and play no complex CUDA kernels☆112Updated 2 years ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆272Updated 4 months ago
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆218Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆131Updated 6 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆192Updated last week
- ☆347Updated last year
- ☆132Updated 6 months ago
- An easy-to-use package for implementing SmoothQuant for LLMs☆109Updated 7 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆80Updated last year
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆335Updated last week
- GPTQ inference Triton kernel☆315Updated 2 years ago