There are 2 repositories under int8 topic.
SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
An innovative library for efficient LLM inference via low-bit quantization
Reimplement RetinaFace use C++ and TensorRT
a simple pipline of int8 quantization based on tensorrt.
👀 Apply YOLOv8 exported with ONNX or TensorRT(FP16, INT8) to the Real-time camera
NCNN+Int8+YOLOv4 quantitative modeling and real-time inference
TensorRT Int8 Python version sample. TensorRT Int8 Python 实现例子。TensorRT Int8 Pythonの例です
A LLaMA2-7b chatbot with memory running on CPU, and optimized using smooth quantization, 4-bit quantization or Intel® Extension For PyTorch with bfloat16.
INT8 calibrator for ONNX model with dynamic batch_size at the input and NMS module at the output. C++ Implementation.
LLM-Lora-PEFT_accumulate explores optimizations for Large Language Models (LLMs) using PEFT, LORA, and QLORA. Contribute experiments and implementations to enhance LLM efficiency. Join discussions and push the boundaries of LLM optimization. Let's make LLMs more efficient together!
VB.NET api wrapper for llm-inference chatllm.cpp
quantization example for pqt & qat
C# api wrapper for llm-inference chatllm.cpp
Int8Array.
8-bit signed integer mathematical constants.
Minimum signed 8-bit integer.
Test if a value is an Int8Array.
Maximum signed 8-bit integer.
Size (in bytes) of an 8-bit signed integer.
Convert a Node-API value to a signed 8-bit integer array.
Convert a Node-API value representing a strided array to a signed 8-bit integer array.
Convert a Node-API value representing a two-dimensional strided array to a signed 8-bit integer array.
mxnet GluonCV quantization binary ternary models
Practicing C data types using the sizeof function
development quantization framework