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stage1-projector/README.md

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+---
+license: apache-2.0
+tags:
+  - materials
+  - multimodal-projector
+---
+# ALM · structure-to-language projector
+
+The projector that maps frozen **OrbV3** machine-learning-interatomic-potential
+features into the Qwen3-8B token space: a small MLP (`Linear(256→4096) → GELU →
+Linear(4096→4096)`, ~21M params) whose outputs are spliced into the input sequence
+as **soft tokens** at the `<atoms>` position. The encoder produces one feature
+vector per atom; the projector emits one soft token per atom. Frozen in the
+generation models; trained in **ALM Core**.
+
+**Inputs:** OrbV3 (`orb_v3_direct_20_omat`) 256-d per-atom features → 4096-d soft tokens.
+
+## Links
+Paper: [arXiv](https://arxiv.org/abs/2606.21395) · [HuggingFace](https://huggingface.co/papers/2606.21395) · Code: [GitHub](https://github.com/learningmatter-mit/alm)
+
+## License
+Apache-2.0.
+
+## Citation
+```bibtex
+@article{edamadaka2026atomistic,
+  title   = {Atomistic Language Models Understand and Generate Materials},
+  author  = {Edamadaka, Sathya and Ramesh, Krithik and Li, Ju and G\'omez-Bombarelli, Rafael},
+  journal = {arXiv preprint arXiv:2606.21395},
+  year    = {2026}
+}
+```

stage1-projector/projector.pt

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