---
title: README
emoji: ๐ป
colorFrom: yellow
colorTo: pink
sdk: static
pinned: false
short_description: Small, local models distilled from frontier teachers
---
# Advanced Data Intelligence
**Small, local, open models โ 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 โ 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 โ no cloud training โ then quantized to GGUF and shipped ready to run in [Ollama](https://ollama.com) or any llama.cpp-based runtime.
**Links:** [Website](https://advanced-data-intelligence.com) ยท [theLAB](https://thelabsource.com) ยท [YouTube โ Advanced Data Intelligence](https://www.youtube.com/@AdvancedDataIntelligence) ยท [YouTube โ ADI Online](https://www.youtube.com/@adi_onlin3)
## 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.
### ๐ฑ 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
```
### ๐ฑ adi-qwen3-8b-glm5.2-general
General-purpose local assistant. Qwen3-8B distilled from **glm-5.2**. Reasons and explains like a frontier model on general topics, with more headroom than the 4B. Native tool-calling, 128K context, ~5 GB.
```bash
ollama run hf.co/AdvancedDataIntelligence/adi-qwen3-8b-glm5.2-general-GGUF:Q4_K_M
```
### ๐ฑ 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
```
---
## How to run
**Ollama (recommended).** Pull and run any model directly from this org โ no manual download needed. Ollama fetches the GGUF from Hugging Face on first run:
```bash
ollama run hf.co/AdvancedDataIntelligence/adi-qwen3-8b-glm5.2-general-GGUF:Q4_K_M
```
Swap `:Q4_K_M` for another quant tag if a model ships multiple. To pull without running:
```bash
ollama pull hf.co/AdvancedDataIntelligence/adi-qwen3-8b-glm5.2-general-GGUF:Q4_K_M
```
**Manual download (llama.cpp or offline).** Grab the raw GGUF with the Hugging Face CLI:
```bash
huggingface-cli download AdvancedDataIntelligence/adi-qwen3-8b-glm5.2-general-GGUF adi-qwen3-8b-glm5.2-q4_k_m.gguf --local-dir .
```
Then point any llama.cpp-based runtime at the downloaded file.
## The approach
- **Distillation, not retraining.** We transfer a teacher's reasoning style and answer quality into a small student โ 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.
---
## Coming next
In the pipeline, distilled the same way and headed here soon:
- **adi-qwen2.5-14b-glm5.2-general** โ a larger general student with more parametric headroom.
- **adi-gemma3-12b-glm5.2-general** โ a Gemma-based general distill, broadening the lineup beyond Qwen.
Follow the org to catch them on release.
## Naming
Models follow the pattern `adi----` โ 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) โ Learning. Algorithms. Breakthroughs.*