Update README.md

README.md

@@ -24,6 +24,10 @@ Every model here is built end-to-end on theLAB hardware — no cloud training
 
 ## Models
 
+## Models
+
+**New here?** Pull **adi-qwen3.5-4b** for general chat and reasoning, **adi-qwen2.5-coder-7b** for writing and debugging code, or **adi-qwen3-8b** when you've got the VRAM and want more headroom. All three run on a single consumer GPU.
+
 ### 🐱 adi-qwen3.5-4b-glm5.2-general
 
 General-purpose local assistant. Qwen3.5-4B distilled from **glm-5.2**. Reasons and explains like a frontier model on general topics. Native tool-calling, 262K context, ~2.7 GB.
@@ -104,6 +108,15 @@ We publish short videos on AI, alignment, and how these models are built:
 
 ---
 
+## Coming next
+
+In the pipeline, distilled the same way and headed here soon:
+
+- **adi-qwen2.5-14b-glm5.2-general** — a larger general student with more parametric headroom.
+- **adi-gemma3-12b-glm5.2-general** — a Gemma-based general distill, broadening the lineup beyond Qwen.
+
+Follow the org to catch them on release.
+
 ## Naming
 
 Models follow the pattern `adi-<base>-<size>-<teacher>-<purpose>` — so the name tells you the student base, its size, the teacher it learned from, and what it's tuned for.