Qwen 2.5 Coder 3B local setup guide.
Small coding model for low-memory laptops and quick local code assistance. Architecture: dense transformer. Best for: low-memory coding assistance; fast local code autocomplete experiments. Avoid if: you need strong agentic coding quality; you have enough memory for a 7B coding model. Cloud fallback: Use cloud or a larger local model for multi-file planning and long edits. Hardware requirements start at 6GB RAM and 3GB VRAM, with 8GB RAM and 4GB VRAM recommended. Quant recommendations include Q4_K_M on Ollama. Runtime notes: Ollama: Works on macOS, Windows, and Linux; GPU acceleration depends on local driver support.. Setup commands: Ollama: ollama pull qwen2.5-coder:3b. Check this model on my machine at /calculator?task=coding_assistant&runtime=ollama&os=macos&ramGb=16&gpuTier=mid&unifiedMemory=1&model=qwen2.5-coder%3A3b, Save model profile, or Generate free model report after login.