Post
29
🚀 **Introducing Asterisk — Hybrid ASPP-Attention Architecture!** 🌟
NoesisLab/Asterisk
We’re excited to launch **Asterisk**, a cutting-edge language model by **NoesisLab** on **Hugging Face**! 🎉 Built on top of *SmolLM2-135M-Instruct*, Asterisk integrates **Adjacency-Structured Parallel Propagation (ASPP)** with standard attention to bring structured reasoning power into language modeling.
✨ **Key Highlights:**
🔹 **Hybrid Architecture** – Fuses graph-centric ASPP local reasoning with global attention for richer representations.
🔹 **Enhanced Reasoning** – ASPP enables iterative local state evolution that complements traditional transformer layers.
🔹 **Efficient Design** – ~171M parameters with smart supervised fine-tuning (Capybara dataset).
🔹 **Flexible & Open** – Apache-2.0 licensed and ready to integrate via Hugging Face 🤗 Transformers.
📈 Asterisk showcases how hybrid operators — inspired by theoretical frameworks like the *Asterisk Operator* — can bring structured reasoning into modern LMs in a scalable way.
👉 Try it out, explore the code, and start building: *huggingface.co/NoesisLab/Asterisk*
#MachineLearning #AI #LanguageModels #HybridAI #HuggingFace #NoesisLab
