🚀 Universal Ollama Optimizer

Developed by JTGSYSTEMS.COM | JointTechnologyGroup.com

A professional bash script for launching and optimizing any Ollama AI model with intelligent profiles, system monitoring, and automated configuration.

🆕 Latest Updates (September 2025)

Added 5 Critical Missing Models Based on Community Research:

• ⭐ GLM-4 - Ranks 3rd overall on hardcore benchmarks, beats Llama 3 8B
• ⭐ Magicoder - OSS-Instruct trained coding specialist with 75K synthetic instruction data
• ⭐ Gemma3n - Multimodal model optimized for everyday devices (phones, tablets, laptops)
• ⭐ Granite 3.3 - IBM's improved models with 128K context (2B and 8B variants)
• ⭐ Gemma3:270M - Ultra-compact 270M model with 0.75% battery usage on mobile devices

Enhanced Menu Organization:

• Expanded model selection from 50+ to 55+ latest 2025 models
• Added new performance benchmarks and descriptions
• Updated all optimization profiles and system recommendations

✨ Features

• 🎯 Universal Model Support - Works with any Ollama model (llama3.2, mistral, gemma2, etc.)
• ⚙️ Smart Optimization Profiles - 6 pre-configured profiles: Balanced, Technical, Creative, Code, Reasoning, Roleplay
• 📊 System Resource Monitoring - Real-time GPU, RAM, and disk space monitoring
• 🚀 Auto-Download & Validation - Intelligent model downloading with space checking
• 🎨 Professional Interface - Clean, colorful terminal UI with progress indicators
• ⚡ Configuration Management - File-based config with runtime overrides
• 🔧 Custom Parameters - Full manual parameter control and Modelfile creation

📋 Requirements

• Linux (Ubuntu 20.04+, other distros compatible)
• Bash 5.0+ (pre-installed on most systems)
• Ollama (Download here)
• 8GB+ RAM recommended
• GPU optional but recommended (NVIDIA with CUDA support)

🚀 Quick Start

One-Command Install & Run

# Download and run
curl -fsSL https://raw.githubusercontent.com/your-username/universal-ollama-optimizer/main/universal-ollama-optimizer.sh -o universal-ollama-optimizer.sh
chmod +x universal-ollama-optimizer.sh
./universal-ollama-optimizer.sh

Manual Installation

# Clone repository
git clone https://github.com/your-username/universal-ollama-optimizer.git
cd universal-ollama-optimizer

# Make executable
chmod +x universal-ollama-optimizer.sh

# Run
./universal-ollama-optimizer.sh

📖 Usage

Interactive Mode (Default)

./universal-ollama-optimizer.sh

1. Select Model - Choose from available models or enter new model name
2. Choose Profile - Select optimization profile (1-9)
3. Launch Model - Model starts with optimized settings

Example Session

╔════════════════════════════════════════════╗
║         Universal Ollama Optimizer        ║
║      JTGSYSTEMS.COM | JointTechnologyGroup ║
╚════════════════════════════════════════════╝

✓ Ollama service is running

Available Local Models:
  • llama3.2:latest (4.7GB)
  • mistral:7b (4.1GB)
  • gemma2:9b (5.4GB)

Enter model name: llama3.2:latest

Model Information:
  • Model: llama3.2:latest
  • Size: 4.7GB
  • Parameters: 3.2B

System Status:
  • GPU Memory: 16380 MB
  • System RAM: 32GB
  • Available Disk: 150GB

Optimization Profiles:
  1) Balanced          - General purpose (temp: 0.5)
  2) Technical/Factual - Precise answers (temp: 0.2)
  3) Creative Writing  - Imaginative content (temp: 1.0)
  4) Code Generation   - Programming tasks (temp: 0.15)
  5) Reasoning/Logic   - Problem solving (temp: 0.3)
  6) Roleplay/Chat     - Conversational (temp: 0.8)

Select profile [1-6]: 1

Starting llama3.2:latest with Balanced profile...

⚙️ Configuration

Config File Location

~/.config/universal-ollama-optimizer/config.conf

Example Configuration

# Default profile (balanced, technical, creative, code, reasoning, roleplay)
DEFAULT_PROFILE="balanced"

# Auto-start Ollama service if not running
AUTO_START_OLLAMA=true

# System monitoring
SHOW_SYSTEM_INFO=true
SHOW_GPU_INFO=true

# Download settings
DOWNLOAD_TIMEOUT=1800
MIN_DISK_SPACE_GB=5

🎯 Optimization Profiles

Profile	Temperature	Top-P	Top-K	Best For
Balanced	0.5	0.85	30	General use, Q&A
Technical	0.2	0.8	20	Documentation, facts
Creative	1.0	0.95	50	Stories, brainstorming
Code	0.15	0.7	15	Programming, debugging
Reasoning	0.3	0.75	25	Logic, analysis
Roleplay	0.8	0.9	40	Character chat

🛠️ Advanced Features

Custom Parameters

Choose option 7 for manual parameter configuration:

• Temperature (0.0-2.0)
• Top-P (0.0-1.0)
• Top-K (1-100)
• Context length
• Max tokens per response
• Repeat penalty

Modelfile Creation

Choose option 8 to create and save custom model configurations:

# Creates permanent optimized model variants
# Example: llama3.2-coding, mistral-creative

Runtime Commands

Once model is running, use these commands:

/set parameter temperature 0.7    # Adjust parameters
/set system "You are a coding assistant"  # Change system prompt
/show parameters                  # View current settings
/save my-conversation            # Save session
/load my-conversation            # Load session

🚨 Troubleshooting

Common Issues

Ollama Not Found

# Install Ollama
curl -fsSL https://ollama.ai/install.sh | sh

Permission Denied

# Make script executable
chmod +x universal-ollama-optimizer.sh

Model Download Fails

# Check internet connection and disk space
df -h
ping ollama.ai

GPU Not Detected

# Check NVIDIA drivers
nvidia-smi

📁 Project Structure

universal-ollama-optimizer/
├── universal-ollama-optimizer.sh    # Main script
├── README.md                        # This file
├── LICENSE                          # MIT License
└── .github/
    ├── workflows/
    │   └── test.yml                 # CI/CD tests
    ├── ISSUE_TEMPLATE/              # Issue templates
    └── PULL_REQUEST_TEMPLATE.md     # PR template

🤝 Contributing

We welcome contributions! Please see our Contributing Guidelines.

Development Setup

# Fork and clone
git clone https://github.com/your-username/universal-ollama-optimizer.git
cd universal-ollama-optimizer

# Test the script
./universal-ollama-optimizer.sh

# Run with debug mode
bash -x universal-ollama-optimizer.sh

Reporting Issues

• Use the issue tracker
• Include OS version, Ollama version, and error messages
• Provide steps to reproduce

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Jesus Christ - Our Lord and Saviour, for all gifts and abilities
• Ollama Team - For creating an excellent local AI platform
• Community Contributors - For feedback and improvements
• JTGSYSTEMS.COM - For development and maintenance

📈 Stars History

📞 Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Website: JTGSYSTEMS.COM

---

🤖 Recommended Ollama Models (September 2025)

Based on latest community recommendations and performance benchmarks

🏆 Top-Tier Models (September 2025)

🧠 Best Overall Performance

• llama3.3:70b - Meta's flagship 2025 model, rivals GPT-4 performance locally
• glm4:latest ⭐ NEW - Ranks 3rd overall, beats Llama 3 8B in benchmarks
• llama3.1:8b - Community favorite, best balance of performance and efficiency
• llama3.1:70b - High-performance for complex reasoning and enterprise use
• deepseek-r1 - Powerhouse for deep logical reasoning and analysis

💻 Premier Coding Models

• deepseek-coder:33b - #1 coding model, excels at complex programming tasks
• magicoder:latest ⭐ NEW - OSS-Instruct trained specialist, 75K synthetic data
• qwen3-coder:30b - Alibaba's latest 2025 coding model with major improvements
• codellama:34b - Meta's specialized coding model with excellent context understanding
• qwen2.5-coder:32b - Previous Alibaba model with solid code generation

⚡ Resource-Efficient Champions

• granite3.3:8b ⭐ NEW - IBM's improved model with 128K context, rivals Llama 3.1
• mistral:7b-instruct - Community-recommended for beginners, excellent performance/resource ratio
• phi4:14b - Microsoft's 2025 state-of-the-art efficiency model
• granite3.3:2b ⭐ NEW - IBM's efficient enterprise model for edge deployment
• llama3.2:3b - Compact Llama for lightweight deployments
• gemma3:270m ⭐ NEW - Ultra-compact 270M model, 0.75% battery usage on mobile
• gemma2:9b - Google's efficient model, great for general tasks

🎨 Creative & Multimodal

• gemma3n:latest ⭐ NEW - Multimodal optimized for everyday devices (phones, tablets)
• llava:latest - Leading vision model for image analysis and VQA
• qwen-vl - Advanced multimodal model for document and image processing
• gemma2:27b - Excellent for creative writing and content generation

📊 Performance Matrix (September 2025)

Use Case	Top Model	Alternative	RAM Required	Best Profile
General Chat	llama3.3:70b	glm4:latest ⭐	64GB / 9GB	Balanced
Code Development	deepseek-coder:33b	magicoder:latest ⭐	32GB / 7GB	Code
Reasoning Tasks	deepseek-r1	glm4:latest ⭐	16GB / 9GB	Reasoning
Creative Writing	gemma2:27b	gemma3n:latest ⭐	32GB / 8GB	Creative
Resource-Limited	granite3.3:2b ⭐	gemma3:270m ⭐	2GB / 300MB	Balanced
Vision/Multimodal	llava:latest	gemma3n:latest ⭐	16GB / 8GB	Technical
Enterprise/128K Context	granite3.3:8b ⭐	llama3.1:8b	8GB	Technical
Edge/Mobile	gemma3:270m ⭐	granite3.3:2b ⭐	300MB / 2GB	Balanced

🚀 Quick Download Commands (September 2025)

# Most recommended overall (2025 flagship)
ollama pull llama3.3:70b-instruct

# NEW: High-performance alternative (ranks 3rd overall)
ollama pull glm4:latest

# NEW: Specialized coding assistant with OSS-Instruct training
ollama pull magicoder:latest

# Premier coding powerhouse
ollama pull deepseek-coder:33b

# NEW: Enterprise model with 128K context
ollama pull granite3.3:8b

# NEW: Ultra-efficient for mobile/edge (270M parameters)
ollama pull gemma3:270m

# NEW: Multimodal for everyday devices
ollama pull gemma3n:latest

# Advanced reasoning powerhouse
ollama pull deepseek-r1

# Vision and image analysis
ollama pull llava:latest

# Best for beginners/limited hardware
ollama pull mistral:7b-instruct

💡 2025 Community Insights

• Llama 3.3 has become the gold standard for local deployment
• DeepSeek models dominate coding and reasoning benchmarks
• Mistral 7B remains the go-to recommendation for newcomers
• Vision models like LLaVA are gaining massive adoption
• Over 1,700+ models now available in Ollama ecosystem

Note: Model availability and performance may vary. Check ollama.com/library for the latest models.

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Repository: universal-ollama-optimizer | Developer: JTGSYSTEMS.COM | Technology: Bash, Linux, Ollama, AI

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