model_validation_diff.json

{
  "added": [],
  "missing": [],
  "shapeChanges": [],
  "loraDetected": true,
  "recurrentDetected": false,
  "tensorCount": 24,
  "shardCount": 0,
  "missingShardFiles": [],
  "missingTensorKeys": [],
  "detectedLoRAKeys": [
    "base_model.model.transformer.h.0.attn.c_attn.lora_A.weight",
    "base_model.model.transformer.h.0.attn.c_attn.lora_B.weight",
    "base_model.model.transformer.h.1.attn.c_attn.lora_A.weight",
    "base_model.model.transformer.h.1.attn.c_attn.lora_B.weight",
    "base_model.model.transformer.h.10.attn.c_attn.lora_A.weight",
    "base_model.model.transformer.h.10.attn.c_attn.lora_B.weight",
    "base_model.model.transformer.h.11.attn.c_attn.lora_A.weight",
    "base_model.model.transformer.h.11.attn.c_attn.lora_B.weight",
    "base_model.model.transformer.h.2.attn.c_attn.lora_A.weight",
    "base_model.model.transformer.h.2.attn.c_attn.lora_B.weight",
    "base_model.model.transformer.h.3.attn.c_attn.lora_A.weight",
    "base_model.model.transformer.h.3.attn.c_attn.lora_B.weight",
    "base_model.model.transformer.h.4.attn.c_attn.lora_A.weight",
    "base_model.model.transformer.h.4.attn.c_attn.lora_B.weight",
    "base_model.model.transformer.h.5.attn.c_attn.lora_A.weight",
    "base_model.model.transformer.h.5.attn.c_attn.lora_B.weight",
    "base_model.model.transformer.h.6.attn.c_attn.lora_A.weight",
    "base_model.model.transformer.h.6.attn.c_attn.lora_B.weight",
    "base_model.model.transformer.h.7.attn.c_attn.lora_A.weight",
    "base_model.model.transformer.h.7.attn.c_attn.lora_B.weight",
    "base_model.model.transformer.h.8.attn.c_attn.lora_A.weight",
    "base_model.model.transformer.h.8.attn.c_attn.lora_B.weight",
    "base_model.model.transformer.h.9.attn.c_attn.lora_A.weight",
    "base_model.model.transformer.h.9.attn.c_attn.lora_B.weight"
  ],
  "detectedRecurrentKeys": [],
  "tensorShapeSummary": {
    "base_model.model.transformer.h.0.attn.c_attn.lora_A.weight": [
      16,
      768
    ],
    "base_model.model.transformer.h.0.attn.c_attn.lora_B.weight": [
      2304,
      16
    ],
    "base_model.model.transformer.h.1.attn.c_attn.lora_A.weight": [
      16,
      768
    ],
    "base_model.model.transformer.h.1.attn.c_attn.lora_B.weight": [
      2304,
      16
    ],
    "base_model.model.transformer.h.10.attn.c_attn.lora_A.weight": [
      16,
      768
    ],
    "base_model.model.transformer.h.10.attn.c_attn.lora_B.weight": [
      2304,
      16
    ],
    "base_model.model.transformer.h.11.attn.c_attn.lora_A.weight": [
      16,
      768
    ],
    "base_model.model.transformer.h.11.attn.c_attn.lora_B.weight": [
      2304,
      16
    ],
    "base_model.model.transformer.h.2.attn.c_attn.lora_A.weight": [
      16,
      768
    ],
    "base_model.model.transformer.h.2.attn.c_attn.lora_B.weight": [
      2304,
      16
    ],
    "base_model.model.transformer.h.3.attn.c_attn.lora_A.weight": [
      16,
      768
    ],
    "base_model.model.transformer.h.3.attn.c_attn.lora_B.weight": [
      2304,
      16
    ],
    "base_model.model.transformer.h.4.attn.c_attn.lora_A.weight": [
      16,
      768
    ],
    "base_model.model.transformer.h.4.attn.c_attn.lora_B.weight": [
      2304,
      16
    ],
    "base_model.model.transformer.h.5.attn.c_attn.lora_A.weight": [
      16,
      768
    ],
    "base_model.model.transformer.h.5.attn.c_attn.lora_B.weight": [
      2304,
      16
    ],
    "base_model.model.transformer.h.6.attn.c_attn.lora_A.weight": [
      16,
      768
    ],
    "base_model.model.transformer.h.6.attn.c_attn.lora_B.weight": [
      2304,
      16
    ],
    "base_model.model.transformer.h.7.attn.c_attn.lora_A.weight": [
      16,
      768
    ],
    "base_model.model.transformer.h.7.attn.c_attn.lora_B.weight": [
      2304,
      16
    ],
    "base_model.model.transformer.h.8.attn.c_attn.lora_A.weight": [
      16,
      768
    ],
    "base_model.model.transformer.h.8.attn.c_attn.lora_B.weight": [
      2304,
      16
    ],
    "base_model.model.transformer.h.9.attn.c_attn.lora_A.weight": [
      16,
      768
    ],
    "base_model.model.transformer.h.9.attn.c_attn.lora_B.weight": [
      2304,
      16
    ]
  },
  "shardSummary": {
    "count": 0,
    "shards": [],
    "missing": []
  },
  "hfCompatibility": {
    "config": false,
    "tokenizer": true,
    "safetensors": true,
    "adapterFiles": true
  },
  "tensorChecksCompleted": true,
  "validationStrictness": "normal",
  "validatedModelPath": "C:\\Users\\jdwall\\AppData\\Local\\Temp\\my-lora-adapter-h43em74k"
}