config.json

{
  "model_type": "multiscale_transformer",
  "architectures": [
    "MultiScaleForCausalLM"
  ],
  "vocab_size": 258,
  "d_model": 1024,
  "n_heads": 16,
  "d_ff": 2752,
  "n_layers_per_scale": 6,
  "n_cross_attn_layers": 1,
  "max_seq_len": 256,
  "dropout": 0.0,
  "bias": false,
  "rope_theta": 10000.0,
  "downsample_factors": [
    1,
    2,
    4
  ],
  "num_parameters": 304948224,
  "training_results": {
    "model": "AXL-Code-1B",
    "params": 317590528,
    "steps": 1012,
    "time": 1801.6977367401123,
    "final_loss": 2.939126491546631,
    "perplexity": 31.22,
    "gguf_size_mb": 606.3,
    "context_window": 256,
    "note": "Trained with vanilla SGD (no momentum) due to RAM constraints. Original target 978M params, trained at 318M."
  }
}