Ollama setup
Install Ollama, choose the model based on your VRAM, and check the status of the local server.
Or go to the web IDE →Local models · free on your PC
Ollama & LM Studio
Install a local runtime, download the recommended models for your GPU, then connect CoderX.
OllamaCLI + local server · pull models with one commandollama.com/download →LM StudioGraphical UI · OpenAI-compatible server on port 1234lmstudio.ai →
Install Ollama (linux)
curl -fsSL https://ollama.com/install.sh | sh
GPU check
The browser can't read exact VRAM — we use the WebGL renderer and system RAM as a hint. Confirm or correct below.
- WebGL renderer:
- not detected
- Estimated tier:
- ≤8 GB VRAM · conservative default · …
GPU VRAM (manual):
Recommended models · ≤8 GB VRAM
Ollama — copy and run
ollama pull gemma2:2b ollama pull qwen2.5:3b
LM Studio
Search and download: Small instruct 3B (GGUF Q4)
Developer → Start server (port 1234) → Settings in CoderX
NVIDIA workstation / DGX Spark: NVIDIA Generative AI playbook →