Llama 3.2 Lightweight

Llama 3.2 Lightweight brings the 3.2 generation’s reasoning and coding ability to compact models that run fast with modest memory. It’s designed for on-device and single-GPU serving, so you can embed assistants in apps, browsers, and edge boxes without a heavy backend. The models are instruction-tuned for clean, controllable behavior, produce structured responses when you need JSON, and integrate smoothly with function calling for agent workflows and RAG. Quantization keeps footprints small while preserving quality, and lightweight adapters such as LoRA make domain fine-tuning straightforward. Compared with the larger 3.2 models, Lightweight trades some raw capability for responsiveness and cost efficiency; paired with retrieval, it delivers crisp chat, summarization, and coding help with the immediacy required for real-time products.