Code Llama 34B local setup guide.
Large Code Llama model for high-memory comparison and Python-heavy local tests. Architecture: Llama code transformer. Best for: large legacy local code model comparisons; high-memory experimentation. Avoid if: you need low latency; you have less than 32GB RAM or 24GB VRAM. Cloud fallback: Use newer local coding models or cloud for stronger results. Hardware requirements start at 32GB RAM and 20GB VRAM, with 48GB RAM and 24GB 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:34b. Check this model on my machine at /calculator?task=coding_assistant&runtime=ollama&os=macos&ramGb=16&gpuTier=mid&unifiedMemory=1&model=codellama%3A34b, Save model profile, or Generate free model report after login.