{"library":"qwix","type":"library","category":null,"description":"Qwix is a JAX-native quantization library for both research and production, providing efficient model compression through Quantization-Aware Training (QAT), Post-Training Quantization (PTQ), and ODML quantization. It supports various XLA targets (CPU/GPU/TPU) and LiteRT, featuring a flexible, regex-based configuration system for Flax Linen and NNX models. The current version is 0.1.5, with an active release cadence.","language":"python","status":"active","version":"0.1.5","tags":["jax","quantization","machine-learning","deep-learning","flax","nnx"],"install":[{"cmd":"pip install git+https://github.com/google/qwix","imports":["import qwix","from qwix import QuantizationRule","from qwix import quantize_model"]}],"homepage":null,"github":"https://github.com/google/qwix","docs":null,"changelog":null,"pypi":"https://pypi.org/project/qwix/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":0,"avg_install_s":null,"avg_import_s":null,"wheel_type":null},"url":"https://checklist.day/v1/registry/qwix/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}