Moonlight 16B A3B

16B total, 3B active · 8k context · MIT · released 2025-02-22

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What to run it on in the UK

Fully in memory at 128k context, priced at retailers today.

Nothing we price holds this model fully in memory.

All hardware that runs it

Everything we price, best value first. Two cards split the model by layers.

Nothing we price can run it at this context.

Memory needed

Weights, KV cache and runtime buffers at each context length (KV cache at fp16).

QuantFile

Run it

Copy a command for the runtime you use.

No published builds to run yet.

Notes

Requires trust_remote_code=True; recommended environment is python=3.10, torch>=2.1.0, transformers=4.48.2. Uses DeepSeek-V3 architecture, so it can be deployed with vLLM and SGLang.

Questions

What licence is Moonlight 16B A3B released under?
MIT, which allows commercial use.