saic-fi / MobileQuantLinks
[EMNLP Findings 2024] MobileQuant: Mobile-friendly Quantization for On-device Language Models
☆67Updated 11 months ago
Alternatives and similar repositories for MobileQuant
Users that are interested in MobileQuant are comparing it to the libraries listed below
Sorting:
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆177Updated 5 months ago
- ☆78Updated 9 months ago
- A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..☆193Updated 7 months ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆138Updated last week
- An easy-to-use package for implementing SmoothQuant for LLMs☆105Updated 4 months ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆120Updated last year
- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆111Updated 10 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆23Updated last year
- The official implementation of the EMNLP 2023 paper LLM-FP4☆213Updated last year
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆119Updated last year
- Reorder-based post-training quantization for large language model☆195Updated 2 years ago
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆224Updated 7 months ago
- ☆120Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆148Updated 3 months ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆42Updated last year
- llama INT4 cuda inference with AWQ☆54Updated 7 months ago
- Official PyTorch implementation of "GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance" (ICML 2025)☆43Updated last month
- Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs☆110Updated last year
- ☆62Updated 9 months ago
- ☆81Updated 7 months ago
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆98Updated 3 months ago
- ☆65Updated last month
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆319Updated last year
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆226Updated 9 months ago
- High-speed and easy-use LLM serving framework for local deployment☆117Updated 3 weeks ago
- [ACL 2024] RelayAttention for Efficient Large Language Model Serving with Long System Prompts☆40Updated last year
- ☆32Updated last year
- ☆149Updated 2 months ago
- Repository for CPU Kernel Generation for LLM Inference☆26Updated 2 years ago
- PB-LLM: Partially Binarized Large Language Models☆153Updated last year