๐ค๐๐ฒ๐ป ๐ฏ.๐ฒ ๐ฎ๐ณ๐: ๐๐ฟ๐ผ๐ป๐๐ถ๐ฒ๐ฟ ๐๐ผ๐ฑ๐ถ๐ป๐ด ๐ผ๐ป ๐ฎ ๐ฎ๐ฐ๐๐ ๐๐ฃ๐จ
Run a 27 billion parameter coding model on one 24GB consumer GPU. Use Q4 quantization to make it fit. It runs on your own hardware. It works for daily agentic coding.
This setup lowers your costs. It protects your privacy. It lets you work offline.
Here is what you get:
- A workflow to link local models to your editors.
- VRAM math for your hardware choices.
- A guide on Ollama, llama.cpp, and vLLM.
- The cost of a single GPU.
Source: https://dev.to/rishi_kora/qwen-36-27b-frontier-coding-on-a-single-24gb-gpu-3h0e
Optional learning community: https://t.me/GyaanSetuAi