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 — Same architecture, just quantized
• 5.9GB — Extremely small model file
• Apache 2.0 — Completely free for commercial use
• Runs on phones — 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

Bonsai 27B shrinks Qwen3.6’s model size by 9x while retaining most capabilities.

Who Should Use This

• Phone AI enthusiasts — Run 27B model on smartphone
• Laptop developers — No server needed
• Privacy-conscious — Fully offline
• Budget-conscious — 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.