Bonsai 27B: Complete Guide to Running a 27B-Class AI Model Free on Your Phone - Based on Qwen3.6, Apache 2.0 Licensed
PrismML introduces revolutionary Bonsai 27B, compressing 27B-parameter AI to 3.9GB for local iPhone running. Based on Qwen3.6, Apache 2.0 licensed, completely free.
Bonsai 27B: Complete Guide to Running a 27B-Class AI Model Free on Your Phone - Based on Qwen3.6, Apache 2.0 Licensed
Bonsai 27B is a low-bit quantized version of Qwen3.6-27B by PrismML, runnable on phones and laptops, Apache 2.0 licensed free.
What is Bonsai 27B
Bonsai 27B by PrismML is a low-bit quantized version of Qwen3.6-27B, not a newly trained model.
Key features:
- Based on Qwen3.6 β Same architecture, just quantized
- 5.9GB β Extremely small model file
- Apache 2.0 β Completely free for commercial use
- Runs on phones β 27B model on smartphones
How to Run
Option 1: On phone
- Download PrismML's mobile inference engine
- Install Bonsai 27B model
- Run directly
Option 2: On laptop
- Needs 8GB+ RAM
- Use llama.cpp or similar engine
- Model file only 5.9GB
Option 3: On server
- Needs 14GB+ VRAM GPU
- Better performance
Comparison with Original Qwen3.6
| Model | Size | Precision | Device | Free |
|---|---|---|---|---|
| Qwen3.6-27B | ~54GB | FP16 | Server | β |
| Bonsai 27B (1-bit) | ~5.9GB | 1-bit | Phone/Laptop | β |
| Bonsai 27B (ternary) | ~8GB | Ternary | Laptop | β |
Bonsai 27B shrinks Qwen3.6's model size by 9x while retaining most capabilities.
Who Should Use This
- Phone AI enthusiasts β Run 27B model on smartphone
- Laptop developers β No server needed
- Privacy-conscious β Fully offline
- Budget-conscious β Apache 2.0 free
Summary
Bonsai 27B is a quantized version of Qwen3.6, only 5.9GB, runs on phones and laptops, Apache 2.0 open-source free.
Project: prismml.com
Data current as of July 14, 2026. Bonsai is an open-source project, actively maintained.