Meta's Llama models, launched in February 2023 and updated with Llama 3 in 2025, aim to compete with ChatGPT and Claude by offering open-source alternatives. Unlike its subscription-based rivals, Llama is free to download and run locally, allowing users to modify it without incurring API fees. However, this setup demands decent hardware and some technical know-how. Llama's capabilities have sparked mixed reactions; while some developers appreciate its customization potential, others criticize its performance, particularly in agentic coding tasks where it struggles to read, write, or execute code automatically. The models range in size from 1 billion to 2 trillion parameters, with Llama 3 showcasing instruction-tuned versions that enhance conversational abilities. Initially, access to Llama was limited to researchers, but Meta's approach has since evolved to allow commercial use. Despite its computational power, some users have labeled Llama as "pathetic," voicing concerns over inconsistencies in performance benchmarks. To test Llama 3.2: 1B, the author emphasizes its practical applications in CRUD projects while acknowledging its limitations when used for coding. For developers wanting to experiment with Llama, a recommended method involves using LMStudio for easier access to its chat interface. The article outlines a detailed installation process for setting up Llama models, emphasizing the importance of managing disk space and maintaining a stable internet connection. The author also suggests integrating Llama with OpenRouter and Qwen CLI, which can enhance its coding abilities despite its inherent limitations. This combination provides a way to leverage Llama's outputs alongside tools capable of executing commands, allowing developers to maximize their workflow without incurring costs.