home-lab/.taskmaster/config.json
Geir Okkenhaug Jerstad 9d8952c4ce feat: Complete Ollama CPU optimization for TaskMaster AI
- Optimize Ollama service configuration for maximum CPU performance
  - Increase OLLAMA_NUM_PARALLEL from 2 to 4 workers
  - Increase OLLAMA_CONTEXT_LENGTH from 4096 to 8192 tokens
  - Add OLLAMA_KV_CACHE_TYPE=q8_0 for memory efficiency
  - Set OLLAMA_LLM_LIBRARY=cpu_avx2 for optimal CPU performance
  - Configure OpenMP threading with 8 threads and core binding
  - Add comprehensive systemd resource limits and CPU quotas
  - Remove incompatible NUMA policy setting

- Upgrade TaskMaster AI model ecosystem
  - Main model: qwen3:4b → qwen2.5-coder:7b (specialized coding model)
  - Research model: deepseek-r1:1.5b → deepseek-r1:7b (enhanced reasoning)
  - Fallback model: gemma3:4b-it-qat → llama3.3:8b (reliable general purpose)

- Create comprehensive optimization and management scripts
  - Add ollama-optimize.sh for system optimization and benchmarking
  - Add update-taskmaster-models.sh for TaskMaster configuration management
  - Include model installation, performance testing, and system info functions

- Update TaskMaster AI configuration
  - Configure optimized models with grey-area:11434 endpoint
  - Set performance parameters for 8192 context window
  - Add connection timeout and retry settings

- Fix flake configuration issues
  - Remove nested packages attribute in packages/default.nix
  - Fix package references in modules/users/geir.nix
  - Clean up obsolete package files

- Add comprehensive documentation
  - Document complete optimization process and results
  - Include performance benchmarking results
  - Provide deployment instructions and troubleshooting guide

Successfully deployed via deploy-rs with 3-4x performance improvement estimated.
All optimizations tested and verified on grey-area server (24-core Xeon, 31GB RAM).
2025-06-18 13:08:24 +02:00

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{
"models": {
"main": {
"provider": "openai",
"model": "qwen2.5-coder:7b",
"baseUrl": "http://grey-area:11434/v1",
"description": "Primary model optimized for coding and task management"
},
"research": {
"provider": "openai",
"model": "deepseek-r1:7b",
"baseUrl": "http://grey-area:11434/v1",
"description": "Enhanced research and reasoning model"
},
"fallback": {
"provider": "openai",
"model": "llama3.3:8b",
"baseUrl": "http://grey-area:11434/v1",
"description": "Reliable fallback model for general tasks"
}
},
"performance": {
"contextWindow": 8192,
"temperature": 0.3,
"maxTokens": 4096,
"streamResponses": true
},
"ollama": {
"host": "grey-area",
"port": 11434,
"timeout": 60000,
"retries": 3
}
}