{
  "model": "MARTHA-9B-Qwen3.5-Omni",
  "publisher": "Zero Point Intelligence Ltd",
  "base_model": "Qwen/Qwen3.5-9B",
  "license": "Apache-2.0",
  "method": "ghost_pass_1e-6_bfloat16",
  "proof_type": "tensor_level_sha256",
  "proof_note": "First 5 sorted tensors, 8KB each, cast to float32. Different shard counts between MARTHA and base \u2014 tensor-level comparison used.",
  "martha_file": "model.safetensors",
  "martha_tensor_hash": "f5dad9a9c3c5f5f3c4b9f467c86eac3b7b7a7b5236a7bbaf4b3ca629331bd5b6",
  "martha_tensors_sampled": [
    "lm_head.weight",
    "model.language_model.embed_tokens.weight",
    "model.language_model.layers.0.input_layernorm.weight",
    "model.language_model.layers.0.linear_attn.A_log",
    "model.language_model.layers.0.linear_attn.conv1d.weight"
  ],
  "base_file": "model.safetensors-00001-of-00004.safetensors",
  "base_tensor_hash": "9b60062e5b713088e867cf7643f68513e126ad8fc7ffe794f592c28b8b45fb6b",
  "base_tensors_sampled": [
    "lm_head.weight",
    "model.language_model.embed_tokens.weight",
    "model.language_model.layers.14.mlp.down_proj.weight",
    "model.language_model.layers.14.mlp.gate_proj.weight",
    "model.language_model.layers.14.mlp.up_proj.weight"
  ],
  "weights_unique": true,
  "verification": "pip install safetensors torch; download both files; compare tensor values."
}