Back to List
Notice:This resource is provided by a third-party author. Please review the code with AI tools or manually before use to ensure security and compatibility.
Pythongoogle/paxml

paxml

Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.

79.2/100
555Forks: 75
View on GitHub
Loading report...

Similar Projects

maxtext

85

A simple, performant, and scalable Jax LLM!

Python2.4K

LightRAG

92

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

Python38.1K

VLMEvalKit

82

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks

Python4.3K

vllm

93

A high-throughput and memory-efficient inference and serving engine for LLMs

Python87.1K
Back to List