Complete bilingual package
GUIDE-PL.md and GUIDE-EN.md, 16 diagrams, launcher, environment example and a model-selection checklist in one ZIP.
guide/ → install → model → chat → API
Local LLM · GGUF · PL + EN
Local LLM Studio Guide
Install Text-Generation-WebUI, load GGUF models offline, and run a private local API — bilingual PL + EN, step by step.
16 diagrams
PL+EN guides
2 platforms
$4 (~$4)
Get the complete guide
What you will build
One local studio, four practical capabilities.
A structured route through installation, models, chat and API — designed to get you to a working result without guessing the missing steps.
Windows + Linux
Separate, explicit steps for both platforms, including CUDA and CPU-only recovery paths.
GGUF model decisions
VRAM-oriented guidance for Mistral, Llama and Qwen families, from a 6 GB GPU to a 24 GB setup.
OpenAI-compatible local API
Turn the same private model into a local endpoint for your own scripts and tools.
POST http://127.0.0.1:5000/v1/chat/completions
Visual workflow
See the whole path before you start.
The guide connects every dependency and decision so setup does not turn into a trail of unrelated commands.
Inside the ZIP
Everything has a clear job.
No filler bundle: guides for learning, diagrams for orientation and starter files for getting the environment running.
- GUIDE-PL.mdPolish guide
- GUIDE-EN.mdEnglish guide
- 16 diagramsVisual workflows
- MODELS-CHECKLIST.mdGGUF selection
- start_webui.shLinux launcher
- .env.exampleSafe config template
Practical outcomes
Finish with a system you understand.
- Install and launch Text-Generation-WebUI on Linux or Windows.
- Choose a GGUF quantization that fits the available hardware.
- Recover from common CUDA, dependency and CPU-only problems.
- Connect a local client to the OpenAI-compatible API endpoint.
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