{
  "model_name": "M3",
  "paper_title": "M3: A State-Event Generative Foundation Model for Market Microstructure Dynamics",
  "library_name": "pytorch",
  "task": "limit-order-book order-flow generation",
  "architecture": "LOB-prefix autoregressive causal language model over VQ order tokens",
  "tokenizer": {
    "type": "vq_tokenizer2",
    "size": "base",
    "checkpoint": "tokenizer/base/best.pt",
    "feature_order": [
      "relative_open_price",
      "log_volume",
      "delta_time_seconds",
      "action",
      "side"
    ]
  },
  "models": {
    "tiny": {
      "checkpoint": "tiny/best.pt",
      "size": "10M",
      "open_sourced": true
    },
    "small": {
      "checkpoint": "small/best.pt",
      "size": "25M",
      "open_sourced": true
    },
    "base": {
      "checkpoint": "base/best.pt",
      "size": "75M",
      "open_sourced": true
    },
    "large": {
      "size": "366M",
      "open_sourced": false
    },
    "xlarge": {
      "size": "1.27B",
      "open_sourced": false
    }
  },
  "generation": {
    "max_tokens": 1024,
    "temperature": 1.0,
    "top_p": 1.0,
    "top_k": null,
    "prepend_bos_for_model": true,
    "decode_time_mode": "reconstruction"
  },
  "notes": [
    "Only tiny, small, and base AR checkpoints are released.",
    "large, xlarge, latest.pt, final.pt, logs, raw data, and ablation artifacts are intentionally excluded.",
    "These are custom PyTorch checkpoints and are not standard AutoModelForCausalLM.from_pretrained folders."
  ]
}