G1Joshi/Agent-Skills
digitalocean
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Ollama
ollama
Ollama local LLM deployment and management. Use for running LLMs locally.
SKILL.md
Full skill instructions
Ollama
Ollama makes running LLMs locally as easy as docker run. 2025 updates include Windows/AMD support, Multimodal input, and Tool Calling.
When to Use
- Local Development: Coding without wifi or API costs.
- Privacy: Processing sensitive documents on-device.
- Integration: Works with LangChain, LlamaIndex, and Obsidian natively.
Core Concepts
Modelfile
Docker-like file to define a custom model (System prompt + Base model).
FROM llama3
SYSTEM You are Mario from Super Mario Bros.
API
Ollama runs a local server (localhost:11434) compatible with OpenAI SDK.
Best Practices (2025)
Do:
- Use high-speed RAM: Local LLM speed depends on memory bandwidth.
- Use Quantized Models:
q4_k_mis the sweet spot for speed/quality balance. - Unload:
ollama stopwhen done to free VRAM for games/rendering.
Don't:
- Don't expect GPT-4 level: Smaller local models (8B) are smart but lack deep reasoning.
References
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