Easy-to-use and powerful LLM and SLM library with awesome model zoo.
- nlp
- embedding
- bert
- ernie
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Easy-to-use and powerful LLM and SLM library with awesome model zoo.
A unified inference and post-training framework for accelerated video generation.
TurboDiffusion: 100–200× Acceleration for Video Diffusion Models
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
[CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.
PyTorch native quantization for training and inference
SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime
Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.
Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
OneDiff: An out-of-the-box acceleration library for diffusion models.
PTQ-Level Efficiency, QAT-Level Accuracy | 训练后量化的效率,量化感知训练的精度
PaddleSlim is an open-source library for deep model compression and architecture search.
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
SOTA model-agnostic quantization for GGUF, local inference and beyond. Quantize and run text, image, video and audio models with llama.cpp, vLLM, Diffusers and PyTorch.
PrismQuant: Optimal Null-Space Rotations for Grouped Quantizers
This is the github repository for converting craft pretrained model to tflite version