| # Attribution |
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| The release bundles a tokenizer, token embedding, and the first 24 decoder layers |
| derived from |
| [`HuggingFaceTB/SmolLM2-360M`](https://huggingface.co/HuggingFaceTB/SmolLM2-360M), |
| pinned by commit in each `release.json`. |
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| SmolLM2 is published by Hugging Face under the Apache License 2.0. Its model |
| card identifies the SmolLM2 family and links its accompanying technical paper: |
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| > SmolLM2: When Smol Goes Big - Data-Centric Training of a Small Language Model |
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| The release retains only the subset required for prompt conditioning; |
| it does not ship the unused final backbone layers or language-model output |
| head. |
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| Generated latents are designed for the separately versioned |
| [`data-archetype/dinac_ae_d2`](https://huggingface.co/data-archetype/dinac_ae_d2) |
| VAE. The loader uses the latest VAE repository revision and records the resolved |
| immutable commit in runtime metadata; the VAE's own |
| repository remains the authority for its code, model card, and license. |
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| The original weights, architecture, model-specific code, and |
| documentation are distributed under the ModelGo Attribution-ShareAlike |
| License 2.0 (`MG-BY-SA-2.0`). See `LICENSE` and retain `NOTICE` when required |
| by that license. |
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| The bundled SmolLM2 subset retains its original license. Its Apache |
| License 2.0 text is retained in `LICENSE-APACHE-2.0`. |
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