{
  "validation_kind": "offline CPU metadata, tokenizer, and optional meta-device shape checks",
  "python": "3.10.18",
  "versions": {
    "transformers": "5.8.0",
    "torch": "2.8.0",
    "datasets": "3.6.0",
    "huggingface_hub": "1.14.0",
    "sentencepiece": "0.2.1",
    "tokenizers": "0.22.1",
    "safetensors": "0.6.2",
    "regex": "2026.4.4",
    "packaging": "25.0",
    "jsonschema": "4.25.1"
  },
  "config": {
    "class": "Qwen3_5MoeConfig",
    "model_type": "qwen3_5_moe",
    "architecture": [
      "Qwen3_5MoeForConditionalGeneration"
    ],
    "loaded_without_internal_packages": true
  },
  "tokenizer": {
    "class": "InternS1Tokenizer",
    "vocab_size": 251174,
    "roundtrip": "passed",
    "chat_template": "passed",
    "chat_tokens": 20,
    "prompt_tail": "<|im_start|>user\n证明群元素与其逆元具有相同的阶。<|im_end|>\n<|im_start|>assistant\n<think>\n"
  },
  "public_architecture_shape_check": {
    "expected_core_tensors": 1026,
    "checkpoint_tensors": 1811,
    "missing_core_keys": 0,
    "shape_mismatches": 0,
    "unexpected_keys": 785,
    "all_unexpected_keys_are_mtp": true,
    "core_parameters_match": true
  },
  "full_weight_loading": "not_run",
  "generation": "not_run",
  "mtp_note": "All original MTP tensors are retained; the tested public architecture has no matching parameters for them. Shape compatibility alone does not validate from_pretrained loading or inference."
}