ppc64le/linux/: xgrammar-0.1.18+ppc64le1 metadata and description

Simple index Newer version available

Efficient, Flexible and Portable Structured Generation

author MLC Team
classifiers
  • License :: OSI Approved :: Apache Software License
  • Development Status :: 4 - Beta
  • Intended Audience :: Developers
  • Intended Audience :: Education
  • Intended Audience :: Science/Research
  • Environment :: MetaData :: IBM Python Ecosystem
description_content_type text/markdown
keywords machine learning,inference
license Apache 2.0
project_urls
  • Homepage, https://xgrammar.mlc.ai/
  • GitHub, https://github.com/mlc-ai/xgrammar
provides_extras
  • test
requires_dist
  • pydantic
  • sentencepiece
  • tiktoken
  • torch>=1.10.0
  • transformers>=4.38.0
  • triton; platform_system == "Linux" and platform_machine == "x86_64"
  • mlx-lm; platform_system == "Darwin" and platform_machine == "arm64"
  • ninja
  • pytest; extra == "test"
  • protobuf; extra == "test"
  • huggingface-hub[cli]; extra == "test"
  • transformers<4.50.0; platform_system == "Darwin" and extra == "test"
requires_python <4,>=3.8
File Tox results History
xgrammar-0.1.18+ppc64le1-cp311-cp311-manylinux_2_34_ppc64le.whl
Size
5 MB
Type
Python Wheel
Python
3.11
xgrammar-0.1.18+ppc64le1-cp312-cp312-manylinux_2_34_ppc64le.whl
Size
5 MB
Type
Python Wheel
Python
3.12

XGrammar

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Efficient, Flexible and Portable Structured Generation

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Overview

XGrammar is an open-source library for efficient, flexible, and portable structured generation. It supports general context-free grammar to enable a broad range of structures while bringing careful system optimizations to enable fast executions. XGrammar features a minimal and portable C++ backend that can be easily integrated into multiple environments and frameworks, and is co-designed with the LLM inference engine and enables zero-overhead structured generation in LLM inference.

Get Started

Please visit our documentation to get started with XGrammar.

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