Train large language models efficiently using a library designed for high-performance computing.
From the README
uv pip install megatron-core
- Vocabulary size: 131,072 tokens
- Sequence length: 4,096 tokens
- Model scaling: Varied hidden size, attention heads, and layers to achieve target parameter counts
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Megatron-LM has 17.7k stars on GitHub. It has been forked 4.4k times. Megatron-LM is written mainly in Python. It has been in active development since 2019. Its main topics are large-language-models, model-para, transformers.
What is Megatron-LM?
Ongoing research training transformer models at scale
Is Megatron-LM open source?
Megatron-LM is an open-source project.
Is Megatron-LM free?
Yes. Megatron-LM is free and open source — you can use, modify and self-host it.
What language is Megatron-LM written in?
Megatron-LM is written mainly in Python.
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