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README.md

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+[Inference Snaps](https://github.com/canonical/inference-snaps) turn complex generative model deployment into a single command.
+They are built on the idea that AI runtimes should be portable, composable, and local-first.
+Whether you’re experimenting with Gemma 4, Qwen 3 Coder, or DeepSeek R1, you can instantly install a pre-optimized runtime and spin up an API endpoint locally.
+Each model snap includes all dependencies and is tuned for your silicon: CPU, GPU, or NPU.
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+The [Inference Snaps Hugging Face organization](https://huggingface.co/inference-snaps) is used to maintain the model weights going into Inference Snaps.
+The weights are typically split into small shards of 5GB or less.