Cornell-RelaxML / qtipLinks
☆145Updated last month
Alternatives and similar repositories for qtip
Users that are interested in qtip are comparing it to the libraries listed below
Sorting:
- QuIP quantization☆54Updated last year
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆221Updated 6 months ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆288Updated 2 months ago
- ☆75Updated last month
- ☆137Updated 5 months ago
- Work in progress.☆70Updated last month
- PB-LLM: Partially Binarized Large Language Models☆153Updated last year
- Code for data-aware compression of DeepSeek models☆42Updated last month
- Official PyTorch implementation of "GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance" (ICML 2025)☆39Updated last month
- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆109Updated 9 months ago
- KV cache compression for high-throughput LLM inference☆134Updated 6 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆145Updated 2 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆365Updated 11 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆413Updated 8 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆312Updated 6 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆80Updated 11 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆225Updated 8 months ago
- A safetensors extension to efficiently store sparse quantized tensors on disk☆142Updated this week
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆244Updated 6 months ago
- Official implementation for Training LLMs with MXFP4☆20Updated 3 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆165Updated last year
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆154Updated 9 months ago
- The homepage of OneBit model quantization framework.☆185Updated 6 months ago
- ☆199Updated 8 months ago
- ☆44Updated last month
- Training-free Post-training Efficient Sub-quadratic Complexity Attention. Implemented with OpenAI Triton.☆141Updated this week
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆91Updated 2 months ago
- Pytorch implementation of "Oscillation-Reduced MXFP4 Training for Vision Transformers" on DeiT Model Pre-training☆20Updated last month
- ☆123Updated 2 months ago
- [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆141Updated 3 weeks ago