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Welcome to the official wiki for Nectar‑X‑Studio, your all‑in‑one local LLM inference, development, and experimentation environment. This wiki serves as the central hub for documentation, tutorials, configuration guides, and advanced usage tips.
Nectar‑X‑Studio is a local AI development environment designed for speed, privacy, and full control. It enables offline inference, multi‑model workflows, prompt engineering, dataset creation, plugin systems, and real‑time tool integration — all running on your own hardware.
- Installation Guide
- System Requirements
- First‑Run Setup
- Choosing a Supported Model (LLaMA, Mistral, Gemma, Phi, etc.)
- Dashboard Overview
- Model Manager
- Workspaces
- Prompt Editor
- Logs & Performance Panel
- Local LLM Inference
- Multi‑Model Switching
- GPU Acceleration (CUDA / ROCm)
- Offline Mode & Privacy Protections
- Prompt Templates & Profiles
- Voice Input / TTS Integration
- Memory Storage & Retrieval
- Creating a New AI Project
- Dataset Importing & Management
- Running Batch Inference
- Exporting Results
- Integrating Tools & APIs
- Custom Model Loading
- Quantization Options (Q4, Q5, Q8, FP16)
- Performance Tuning
- Custom Plugins
- Developer Scripting (Python / JS)
- Common Errors
- Model Not Loading
- GPU Not Detected
- Performance Issues
- Logs & Diagnostic Tools
- Windows 10/11
- Linux (Ubuntu / Arch)
- NVIDIA GPUs (RTX series)
- AMD GPUs (RDNA2/RDNA3)
- CPU‑Only Mode
All pages in this wiki follow the same structure:
- Clear introduction
- Step‑by‑step instructions
- Screenshots (if available)
- Examples
- Troubleshooting tips
- Links to related pages
Contributions to the wiki are welcome! You can:
- Submit corrections
- Write guides
- Document new features
- Add performance benchmarks
For support, visit:
- Issues & Bug Reports
- Community Discussions
- FAQ
Click Getting Started to install Nectar‑X‑Studio and begin your local AI journey.
Nectar‑X‑Studio — Fast. Private. Local. Yours.