post-quantization

Here are 5 public repositories matching this topic...

clovaai / frostnet

FrostNet: Towards Quantization-Aware Network Architecture Search

computer-vision deep-learning pytorch style-transfer classification object-detection quantization network-architecture semantic-segmentation optimizers quantization-aware-training int8-quantization post-quantization quantization-efficient-network

Updated May 3, 2024
Python

inEXASCALE / pychop

Star

A Python package for simulating low precision arithmetic in scientific computing and machine learning

machine-learning fpga deep-learning neural-network numerical-methods quantization numerical-analysis numerical-computation mixed-precision mixed-precision-training quantization-error quantization-aware-training post-quantization numerial-methods mixed-precision-simulation microscaling-formats ocp-mx block-floating-point

Updated Mar 25, 2026
Python

Abeshith / FineTuning_LanguageModels

Star

🎯 Fine-tune large language models and use them for text-related tasks. This repository provides a straightforward approach to fine-tuning models like Gemma, Llama 🦙, and Mistral 🌪️ for various NLP tasks. 🔧 It includes training 📚, fine-tuning 🛠️, and inference pipelines ⚙️. 🚀