Open Source
Moonlight-A3B
Moonshot's Compute-efficient MoE LLM, first Scaling Up of Muon Optimizer
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We have not reviewed Moonlight-A3B yet
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From the listing
About Moonlight-A3B
Moonlight-A3B is an open-source Mixture-of-Experts (MoE) large language model developed by Moonshot AI. It is designed for compute efficiency and is the first model to scale up the Muon optimizer for training. The model activates only a subset of parameters per token to reduce computational cost.
Best for
Developers exploring efficient MoE language models or the Muon optimizer at scale
Use cases
- Fine-tuning for domain-specific text generation tasks
- Deploying cost-effective inference with MoE architectures
- Researching Muon optimizer scaling behavior at scale
Pros
- Compute-efficient due to Mixture-of-Experts design
- First known scaling of Muon optimizer to a large language model
- Open-source and accessible on Hugging Face
Cons
- MoE inference may require specialized batching or hardware
- Limited community adoption and documentation as a new model
- Muon optimizer compatibility with existing training pipelines may be untested
Key facts
What we have checked
Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.
Alternatives
Alternatives to Moonlight-A3B
| Record | Type | How we know | Checked |
|---|---|---|---|
| DeepSeek-R1This is an alternative to it | Open source | Named in the listing | Not dated |
| Kimi-K2This is an alternative to it | Open source | Named in the listing | Not dated |
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Sources
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Changelog
What changed
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Pairs with
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