GitHub

cli_demo_quantization.py

Must install the `torchao`，`torch`,`diffusers`,`accelerate` library FROM SOURCE to use the quantization feature. Only NVIDIA GPUs like H100 or higher are supported om FP-8 quantization. ALL ...
GitHub

machine-learning/Binary Quantization with Python.md at main · mgrebla/machine-learning · GitHub

Binary quantization is a process of converting continuous or multi-level data into binary (0 or 1) representations. It's widely used in digital signal processing, image compression, and machine ...
marktechpost

Mistral.rs: A Lightning-Fast LLM Inference Platform with Device Support, Quantization, and Open-AI API Compatible HTTP Server and Python Bindings

In artificial intelligence, one common challenge is ensuring that language models can process information quickly and efficiently. Imagine you’re trying to use a language model to generate text or ...
marktechpost

Mistral.rs: A Fast LLM Inference Platform Supporting Inference on a Variety of Devices, Quantization, and Easy-to-Use Application with an Open-AI API Compatible HTTP Server and ...

A significant bottleneck in large language models (LLMs) that hampers their deployment in real-world applications is the slow inference speeds. LLMs, while powerful, require substantial computational ...
theregister

Honey, I shrunk the LLM! A beginner's guide to quantization – and testing it

Hands on If you hop on Hugging Face and start browsing through large language models, you'll quickly notice a trend: Most have been trained at 16-bit floating point of Brain-float precision. FP16 and ...