HSR DeepThink StrikeModel

Overview

HSR DeepThink StrikeModel is an experimental hybrid AI architecture developed by HSR Projects that combines the strengths of OpenMODEL-1.0 and OpenScan-1.0 into a single multimodal reasoning system built on top of Gemma 4.

The goal of StrikeModel is to create a unified local-first AI capable of:

• Deep reasoning
• OCR and image understanding
• Structured document extraction
• Long-context thinking
• Agentic workflows
• Fast local inference

The project merges conversational intelligence from OpenMODEL with the vision and OCR pipeline from OpenScan to create a more advanced AI stack optimized for developers, researchers, and local AI systems.

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Architecture

                    ┌────────────────────┐
                    │     Gemma 4 Base   │
                    │  (Core Foundation) │
                    └─────────┬──────────┘
                              │
          ┌───────────────────┴───────────────────┐
          │                                       │
┌─────────────────────┐               ┌─────────────────────┐
│   OpenMODEL-1.0     │               │   OpenScan-1.0      │
│ Conversational AI   │               │ Vision + OCR AI     │
│ Reasoning Engine    │               │ Image Understanding │
└──────────┬──────────┘               └──────────┬──────────┘
           │                                     │
           └──────────────┬──────────────────────┘
                          │
              ┌────────────────────┐
              │  DeepThink Layer   │
              │ Memory + Planning  │
              │ Multi-step Reason  │
              └────────────────────┘

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Core Components

1. OpenMODEL-1.0

OpenMODEL-1.0

OpenMODEL-1.0 provides:

• Lightweight conversational AI
• Instruction following
• Local deployment support
• Agent integration
• Fast inference pipelines

The model was designed as a developer-friendly local assistant optimized for Ollama deployments. (Ollama)

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2. OpenScan-1.0

OpenScan-1.0

OpenScan-1.0 contributes:

• OCR extraction
• Vision-language processing
• Structured text cleanup
• Image understanding
• Multimodal pipelines

The system combines vision models like LLaVA/BakLLaVA with AI-based cleanup pipelines for improved OCR quality. (Ollama)

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3. Gemma 4 Base

Google Gemma 4 acts as the foundational reasoning backbone for StrikeModel.

Gemma 4 provides:

• Long-context reasoning
• Better planning
• Faster inference
• Improved tool usage
• Multimodal compatibility

Community testing has shown Gemma 4 performs well for local inference and agentic workflows when combined with systems like OpenClaw and Ollama. (Reddit)

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Features

Deep Thinking Engine

StrikeModel introduces a new DeepThink Layer that enables:

• Multi-step reasoning
• Reflection loops
• Planning chains
• Self-correction
• Long-context analysis

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Vision + Language Fusion

The system can process:

• Screenshots
• PDFs
• Documents
• Scanned notes
• Structured forms
• Images with embedded text

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Agentic Workflow Support

StrikeModel is designed for:

• Autonomous agents
• Coding assistants
• Research pipelines
• OCR automation
• AI terminals
• Tool-using assistants

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Local-First Deployment

StrikeModel is optimized for:

• Ollama
• llama.cpp
• OpenClaw
• Local GPU inference
• RTX 30/40/50 series GPUs

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Example Workflow

Input Image
     ↓
OpenScan OCR Extraction
     ↓
Gemma 4 Understanding
     ↓
DeepThink Multi-Step Analysis
     ↓
OpenMODEL Conversational Output
     ↓
Structured Final Response

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Example Use Cases

OCR + Reasoning

Scan invoice →
Extract text →
Analyze totals →
Generate report →
Export JSON

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AI Research Assistant

Upload research paper →
Extract content →
Summarize →
Generate insights →
Create citations

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Coding Assistant

Read screenshot →
Understand error →
Reason about fix →
Generate code patch

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Model Goals

The StrikeModel project focuses on:

Goal	Description
Local AI	Fully offline capable
Multimodal	Text + Vision support
Fast Inference	Optimized for consumer GPUs
Open Ecosystem	Compatible with Ollama
Agentic AI	Tool-using autonomous systems
Deep Reasoning	Multi-step planning and reflection

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Potential Future Features

• Memory systems
• RAG integration
• Voice input/output
• Multi-agent orchestration
• Real-time OCR streaming
• Web browsing tools
• Local vector databases
• Autonomous task execution

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Example Modelfile

FROM gemma4

SYSTEM """
You are HSR DeepThink StrikeModel.

A hybrid reasoning and multimodal AI system combining:
- OpenMODEL conversational intelligence
- OpenScan OCR and vision understanding
- Deep multi-step reasoning

Provide structured, accurate, and thoughtful responses.
"""

PARAMETER temperature 0.6
PARAMETER top_p 0.9
PARAMETER num_ctx 131072

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Hardware Recommendations

Hardware	Recommended
GPU	RTX 3090 / 4090 / 5090
VRAM	24GB+
RAM	32GB+
Storage	NVMe SSD
Runtime	Ollama / llama.cpp

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Vision

HSR DeepThink StrikeModel aims to become a fully open, local-first AI platform that combines:

• reasoning,
• multimodal understanding,
• OCR,
• memory,
• and autonomous workflows

into a single lightweight architecture powered by Gemma 4.

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References

• HSR Projects on Ollama
• OpenMODEL-1.0 Registry Page
• OpenScan-1.0 Registry Page

Sources: (Ollama)