Update README.md

README.md

@@ -16,8 +16,8 @@ This org is simply where we host our models. Everything here is an experiment: e
 
 | Model | By | What it is | Status |
 |---|---|---|---|
-| [**Meridian-Mini**](https://huggingface.co/Circuits-V2/Meridian-Mini) | hashtagg1 | 236M-parameter MoE with hybrid KDA/MLA attention, latent experts, manifold-constrained hyper-connections, attention residuals and Engram n-gram memory | Training |
-| [**Meridian-Tiny**](https://huggingface.co/Circuits-V2/Meridian-Tiny) | hashtagg1 | 11.8M-parameter smoke test of the Meridian architecture, with component ablations | Released |
+| [**Meridian‑Mini**](https://huggingface.co/Circuits-V2/Meridian-Mini) | hashtagg1 | 236M-parameter MoE with hybrid KDA/MLA attention, latent experts, manifold-constrained hyper-connections, attention residuals and Engram n-gram memory | Training |
+| [**Meridian‑Tiny**](https://huggingface.co/Circuits-V2/Meridian-Tiny) | hashtagg1 | 11.8M-parameter smoke test of the Meridian architecture, with component ablations | Released |
 | [**Antimatter**](https://huggingface.co/Circuits-V2/antimatter) | CraftingScrpt | Low (million-parameter tier) multimodal MoE inspired by [Tiny LLM](https://huggingface.co/arnir0/Tiny-LLM) | Training |
 
 Each model card covers the architecture, training data, training setup and limitations in detail.