IST-DASLab / QuartetLinks
☆113Updated last month
Alternatives and similar repositories for Quartet
Users that are interested in Quartet are comparing it to the libraries listed below
Sorting:
- Work in progress.☆75Updated last month
- ☆66Updated 6 months ago
- ☆159Updated 6 months ago
- QuIP quantization☆61Updated last year
- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆111Updated last year
- Official implementation for Training LLMs with MXFP4☆115Updated 8 months ago
- KV cache compression for high-throughput LLM inference☆148Updated 10 months ago
- PB-LLM: Partially Binarized Large Language Models☆157Updated 2 years ago
- ☆156Updated 10 months ago
- The evaluation framework for training-free sparse attention in LLMs☆106Updated 2 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆89Updated last year
- ☆133Updated 6 months ago
- ☆41Updated 7 months ago
- Code for data-aware compression of DeepSeek models☆66Updated 2 weeks ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆135Updated last year
- Repo hosting codes and materials related to speeding LLMs' inference using token merging.☆37Updated 2 months ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆42Updated last year
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆172Updated last year
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆131Updated last year
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆148Updated last month
- FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation☆50Updated 4 months ago
- Official PyTorch implementation of "GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance" (ICML 2025)☆48Updated 5 months ago
- ☆83Updated 11 months ago
- Explore training for quantized models☆25Updated 5 months ago
- A safetensors extension to efficiently store sparse quantized tensors on disk☆225Updated this week
- Training-free Post-training Efficient Sub-quadratic Complexity Attention. Implemented with OpenAI Triton.☆148Updated last month
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆249Updated last year
- Repository for CPU Kernel Generation for LLM Inference☆27Updated 2 years ago
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆118Updated last year
- This repository contains code for the MicroAdam paper.☆21Updated last year