Accessible large language models via k-bit quantization for PyTorch.
Appears on
Quick read
Latest capture 2026-08-02 03:08
1 path
Agent instructions and tool configuration found in this repository.
Claude Code
6 observed captures since 2026-05-25. Observed captures are shown by default.
Stars from first capture +152
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
PyTorch native quantization for training and inference
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
QLoRA: Efficient Finetuning of Quantized LLMs
Easy and Efficient Finetuning LLMs. (Supported LLama, LLama2, LLama3, Qwen, Baichuan, GLM , Falcon) 大模型高效量化训练+部署.
High-speed Large Language Model Serving for Local Deployment
QKeras: a quantization deep learning library for Tensorflow Keras
