insuhan / calibquantLinks
☆18Updated 4 months ago
Alternatives and similar repositories for calibquant
Users that are interested in calibquant are comparing it to the libraries listed below
Sorting:
- Implementation for the paper: CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference☆23Updated 5 months ago
- AFPQ code implementation☆22Updated last year
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆117Updated last year
- LLM Inference with Microscaling Format☆27Updated 9 months ago
- High Performance FP8 GEMM Kernels for SM89 and later GPUs.☆16Updated 6 months ago
- ☆21Updated 9 months ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Updated last year
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆62Updated 4 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆37Updated 10 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆147Updated 2 months ago
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆93Updated 2 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆152Updated 3 weeks ago
- ☆81Updated 6 months ago
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆40Updated 2 months ago
- HALO: Hadamard-Assisted Low-Precision Optimization and Training method for finetuning LLMs. 🚀 The official implementation of https://arx…☆18Updated 5 months ago
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆40Updated last year
- PyTorch code for our paper "ARB-LLM: Alternating Refined Binarizations for Large Language Models"☆26Updated last week
- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆110Updated 10 months ago
- ☆72Updated 9 months ago
- Quantized Attention on GPU☆44Updated 8 months ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆64Updated last year
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆57Updated 2 weeks ago
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆43Updated last month
- ☆33Updated last year
- [ICML 2025 Oral] Mixture of Lookup Experts☆47Updated 3 months ago
- SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference☆51Updated 8 months ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆112Updated last month
- FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation☆51Updated last year
- GPTQ inference TVM kernel☆40Updated last year
- Code Repository of Evaluating Quantized Large Language Models☆130Updated 11 months ago