Gemma 2 2B local setup guide.
Small fallback model for CPU-only and low-memory setups. Architecture: dense transformer. Best for: CPU-only fallback; low-memory local chat; fast local smoke tests. Avoid if: you need strong coding quality; you expect long agentic workflows. Cloud fallback: Use cloud models for serious coding, large context, and planning-heavy work. Hardware requirements start at 4GB RAM and 2.5GB VRAM, with 6GB 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 gemma2:2b. Check this model on my machine at /calculator?task=coding_assistant&runtime=ollama&os=macos&ramGb=16&gpuTier=mid&unifiedMemory=1&model=gemma2%3A2b, Save model profile, or Generate free model report after login.