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README.md

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+short_description: Small, local models distilled from frontier teachers
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+# Advanced Data Intelligence
 
-Edit this `README.md` markdown file to author your organization card.
+**Small, local, open models — distilled from frontier teachers.**
+
+ADI is a line of compact language models built at [theLAB](https://thelabsource.com)
+(*Learning. Algorithms. Breakthroughs.*). Each model is a **knowledge distillation**:
+a strong frontier "teacher" generates high-quality answers across thousands of
+prompts, and a small "student" model is fine-tuned to imitate them — producing a
+model that reasons and responds like something much larger, while staying small
+enough to run on a single consumer GPU.
+
+Every model here is built end-to-end on theLAB hardware — no cloud training — then
+quantized to GGUF and shipped ready to run in [Ollama](https://ollama.com) or any
+llama.cpp-based runtime.
+
+---
+
+## Models
+
+### 🐱 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.
+
+```bash
+ollama run hf.co/AdvancedDataIntelligence/adi-qwen3.5-4b-glm5.2-general-GGUF:Q4_K_M
+```
+
+### 🐱 adi-qwen2.5-coder-7b-kimi2.7-code
+Local coding assistant. Qwen2.5-Coder-7B distilled from **kimi-k2.7-code**.
+Writes, explains, and debugs code with frontier-style quality. Native tool-calling,
+128K context, ~4.4 GB.
+
+```bash
+ollama run hf.co/AdvancedDataIntelligence/adi-qwen2.5-coder-7b-kimi2.7-code-GGUF:Q4_K_M
+```
+
+---
+
+## The approach
+
+- **Distillation, not retraining.** We transfer a teacher's reasoning style and
+  answer quality into a small student — not net-new facts. For raw recall, pair
+  these with retrieval (RAG).
+- **Local-first.** Every model runs fully offline on consumer hardware. No API, no
+  data leaving the machine.
+- **Open.** Apache-2.0 where the base license allows, with full training details on
+  each model card so the work is reproducible.
+
+---
+
+## 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.
+
+---
+
+*Built at [theLAB](https://thelabsource.com) — Learning. Algorithms. Breakthroughs.*
+Edit this `README.md` markdown file to author your organization card.