Code Llama 13B local setup guide.
Mid-size Code Llama model for older local coding workflows. Architecture: Llama code transformer. Best for: legacy code model comparisons; mid-size coding tests on 16GB+ GPUs. Avoid if: you need stronger modern coding models; you are on CPU-only hardware. Cloud fallback: Use newer Qwen or DeepSeek coding models for better quality. Hardware requirements start at 16GB RAM and 10GB VRAM, with 24GB RAM and 12GB 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 codellama:13b. Check this model on my machine at /calculator?task=coding_assistant&runtime=ollama&os=macos&ramGb=16&gpuTier=mid&unifiedMemory=1&model=codellama%3A13b, Save model profile, or Generate free model report after login.