🚀 Askit-OLMo-32B-Spatial-Thinking-Preview

AI-Powered Physics Simulation & Mathematical Animation Generation

Explicit Spatial Reasoning + API-Centric Code Generation

---

✨ What Makes Askit Special?

Askit-OLMo-32B-Spatial-Thinking-Preview is not just another code generation model. It's a spatial reasoning specialist that thinks in 3D coordinates before writing code.

🧠 Core Innovation: Forced Spatial Cognition

Unlike traditional models that generate code directly, Askit enforces a complete spatial thinking pipeline:

Physics Problem
    ↓
【空间直觉分析】 (3D Space Analysis)
    ↓
【空间坐标计算】 (Coordinate Calculations)
    ↓
【物理→API翻译】 (Physics → API Translation)
    ↓
Production-Ready Code

Key Features:

• ✅ Forced Spatial Cognition: Every problem decomposed into 3D coordinates
• ✅ API-Centric Reasoning: Physics principles → PhysicsBridge API calls
• ✅ Explicit Reasoning: Complete thinking chain visible in output
• ✅ Competition-Ready: Optimized for CPhO & IMO level problems

---

🎯 Capabilities

1. Spatial Understanding 🗺️

• 3D object position relationships
• Precise coordinate calculations (x, y, z)
• Automatic trajectory derivation
• Explicit spatial reasoning in every response

2. Physics Modeling ⚙️

• Classical mechanics, electromagnetism, thermodynamics
• API-Driven: Direct PhysicsBridge API generation
• Rigid body collisions, SPH fluids, ODE/PDE solvers
• Complex multi-body systems with constraints

3. Advanced Problem Solving 🏆

• CPhO (Chinese Physics Olympiad) level optimization
• IMO (International Mathematical Olympiad) level optimization
• Deep reasoning for competition problems
• Production-ready simulation code

---

🛠️ Ecosystem & Integration

📱 Official Software

Askit. - Interactive Physics Animation Platform

• 🌐 Website: askit.space
• 💻 GitHub: github.com/SStarrySSky/Askit.
• 📦 Features:
  • Real-time physics simulation with OpenGL rendering
  • Interactive controls (sliders, buttons, checkboxes)
  • Timeline-based animation control
  • Snapshot system for AI context awareness
  • PhysicsBridge API integration

🔗 Integration Points

Askit-OLMo-32B Model
        ↓
    Generates Code
        ↓
PhysicsBridge API
        ↓
Askit. Platform
        ↓
Real-time Visualization

📚 Related Projects

Project	Purpose	Link
Askit.	Interactive Animation Platform	GitHub
PhysicsBridge	Physics Engine Wrapper	Integrated in Askit.
OLMo-3.1-32B	Base Model	Allen AI

---

📊 Model Specifications

Aspect	Details
Base Model	OLMo-3.1-32B-Instruct
Fine-tuning	LoRA (Rank 256)
Training Data	3,500+ physics/math problems
Framework	DeepSpeed ZeRO-3 + BF16
Hardware	3x RTX 5090 GPUs
Output Format	Explicit reasoning chains + code

---

💡 Output Format

The model generates complete reasoning chains with explicit spatial thinking:

<thought>
【空间直觉分析】
- 3D space structure analysis
- Initial positions (x₀, y₀, z₀)
- Initial velocities (vₓ, vᵧ, vᵤ)
- Coordinate system setup

【物理原理推导】
- Applicable physics laws
- Force analysis
- Acceleration calculations

【空间坐标计算】
- Position at time t: (x(t), y(t), z(t))
- Velocity vector: (vₓ(t), vᵧ(t), vᵤ(t))
- Trajectory equations

【物理→API翻译】
- PhysicsBridge API calls
- Parameter mapping: coordinates → API
- Initial conditions setup
</thought>

<code>
# PhysicsBridge API Integration
physics = PhysicsBridge()
physics.create_rigid_body(
    position=(x₀, y₀, z₀),
    velocity=(vₓ, vᵧ, vᵤ),
    mass=m,
    shape='sphere'
)
# ... more API calls
</code>

---

🚀 Quick Start

from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "SStarrySSky/Askit-OLMo-32B-Spatial-Thinking-Preview"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")

# Physics simulation with spatial reasoning
prompt = """
Create a physics simulation for a ball dropped from 10 meters.
Ball mass: 1kg, initial velocity: (0, 0, 0)
Use PhysicsBridge API.
"""

inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_length=2048, temperature=0.7)
print(tokenizer.decode(outputs[0]))

---

📖 Use Cases

🎓 Physics Education

• Interactive animations for teaching concepts
• Explicit spatial reasoning aids student understanding
• API-driven code runs directly in Askit. platform

📊 Mathematical Visualization

• Visual demonstrations of math problems
• Geometric accuracy through coordinate calculations
• Perfect for IMO-level problem visualization

🔬 Research Simulation

• Academic research physics simulations
• Correct coordinate systems guaranteed
• Real-time rendering via PhysicsBridge

🏆 Competitive Problem Solving

• CPhO and IMO level problem solving
• Forced spatial reasoning matches competition requirements
• Production-ready simulation code

---

🔗 Links & Resources

Official Channels

• 🌐 Website: askit.space
• 💻 GitHub Repository: github.com/SStarrySSky/Askit.
• 🤗 HuggingFace Model: SStarrySSky/Askit-OLMo-32B-Spatial-Thinking-Preview

Base Technologies

• 🧠 OLMo-3.1-32B: allenai/OLMo-3.1-32B-Instruct
• ⚙️ Transformers: huggingface.co/transformers

---

📄 License

GPL-3.0 License - See LICENSE

---

🙏 Acknowledgments

Built on top of OLMo-3.1-32B-Instruct by Allen Institute for AI.

Integrated with Askit. - Interactive Physics Animation Platform.

---

Made with ❤️ by Starry Sky

🌐 Website • 💻 GitHub • 🤗 HuggingFace