{ "architectures": ["TinyStoriesGPT"], "d_model": 512, "n_layers": 16, "n_heads": 8, "ffn_dim": 2048, "vocab_size": 8192, "max_seq_len": 512, "tie_word_embeddings": true, "norm": "rmsnorm", "activation": "gelu", "attn": "causal", "dtype": "float32", "n_params": 54804992 }