Build Recurrent-Depth Transformers with OpenMythos for MLA, GQA, Sparse MoE, and Loop-Scaled Reasoning

def build_model(attn_type: str = “mla”, max_loop_iters: int = 8) -> tuple: “””Build a small OpenMythos model. Two attention variants supported. MLA — Multi-Latent Attention (compressed KV cache, DeepSeek-V2 style) GQA — Grouped-Query Attention (fewer KV heads than Q heads) “”” base = dict( vocab_size = 64, dim = 128, n_heads = 4, max_seq_len = 32,…

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