README.md

metadata

title: Grug-9B Demo
emoji: 🪨
colorFrom: red
colorTo: yellow
sdk: gradio
sdk_version: 6.15.1
app_file: app.py
short_description: Vision-language reasoning model with concise thinking
python_version: '3.12'
startup_duration_timeout: 1h

🪨 Grug-9B Vision-Language Demo

A Gradio demo for ProCreations/grug-9b — a 9B-parameter reasoning VLM fine-tuned from Ornith-1.0-9B (Qwen3.5 architecture) that produces concise reasoning traces ("grug think small") instead of verbose chain-of-thought.

Features

• Image + text input: Upload an image and ask questions about it
• Thinking mode: Toggle the model's reasoning traces (default on)
• Adjustable generation: Max tokens, temperature, top-p sampling

Model details

• Architecture: Qwen3.5 (Qwen3_5ForConditionalGeneration)
• Parameters: ~9.4B (dense, bf16)
• Base model: deepreinforce-ai/Ornith-1.0-9B
• License: MIT