spb/forge Public MIT

1{2  "_comment": "MobileLLM-style deep-and-thin variant of gpt-50m: 20 layers x d_model 448 (aspect ratio ~22 vs 64 for the wide config), head_dim 64. ~50.6M params. Same data/steps/optimizer as gpt-50m so the only variable is the shape.",3  "model": {4    "name": "gpt-50m-deep",5    "n_layers": 20,6    "d_model": 448,7    "n_heads": 7,8    "n_kv_heads": 7,9    "d_ff": 1216,10    "vocab_size": 4096,11    "context_length": 1024,12    "tied_embeddings": true,13    "use_rope": true,14    "rope_theta": 10000.0,15    "norm": "rmsnorm",16    "norm_eps": 1e-06,17    "activation": "swiglu",18    "dropout": 0.019  },20  "train": {21    "lr": 0.0005,22    "min_lr_ratio": 0.1,23    "warmup_steps": 117,24    "max_steps": 1170,25    "beta1": 0.9,26    "beta2": 0.95,27    "eps": 1e-08,28    "weight_decay": 0.1,29    "grad_clip": 1.0,30    "batch_size": 8,31    "grad_accum_steps": 8,32    "precision": "f32",33    "checkpoint_every": 200,34    "eval_every": 100,35    "eval_batches": 20,36    "seed": 133737  }38}39