Local LLM installation
The deployment of large-language-models on local hardware to ensure privacy and enable agentic-ai workflows through Tool Use.
Core Technologies
- Inference Engines: ollama, llamacpp, lm-studio, vLLM.
- Quantization Formats: GGUF, AWQ, EXL2 for optimizing vram usage.
- Capabilities: agentic-ai, Function Calling, Tool Use.
Recent Developments
- Qwen3-Coder-Flash Implementation:
- Specialized focus on agentic-ai and Tool Use capabilities.
- Comprehensive installation and testing guide by Fahd Mirza: Video Link
- Covers full workflow from environment setup to advanced functional demonstration.
- Source: 2026 04 14 New Qwen agentic local llm
Source Notes
- 2026-04-07: OpenClaw Autonomous AI Agent Setup Configuration and Advanced · ▶ source
- 2026-04-10: Integrating Local Gemma 4 LLMs with Claude Code Setup and Practical Us · ▶ source
- 2026-04-27: Google Gemma · ▶ source
- 2026-04-29: Hermes · ▶ source