01 / Pipeline
Metadata in. Static pages out.
Before each production build, a Node script requests repository metadata and config.json from the public Hugging Face Hub API. It reads parameter counts, architecture, tags, license, and available weight metadata. The result is cached as local JSON; the browser never calls Hugging Face.
02 / Formula
The arithmetic.
03 / Limits
Capacity is not performance.
These numbers answer “will it fit?” They do not predict exact tokens per second. Real use varies with context length, batch size, model architecture, operating-system allocation, and inference engine—such as llama.cpp, Ollama, MLX, vLLM, or Transformers. Treat the 1.5 GB KV-cache allowance as a useful default, not a guarantee.
MoE models need special care: fewer parameters may activate per token, but the full expert set generally remains resident in memory. We flag them and calculate against total model parameters.