cma-mini

cma-mini is a 1.01M-parameter experimental causal language model built around a Micro-Channel Attention architecture with a deterministic byte-level tokenizer and a 2,048-token context window. It is a research prototype intended to probe the limits of very small transformer-style models rather than serve as a production assistant or API. Source: supabase.