{
  "schema_version": 1,
  "repository": "CoderBak/editlens_roberta_modelkit",
  "license": "CC-BY-NC-SA-4.0",
  "public": true,
  "gated": false,
  "source_repository": "pangram/editlens_roberta-large",
  "source_revision": "f93e1ace74528cfb48f337ab2fe946fb71a728cb",
  "original_weights": {
    "path": "model.safetensors",
    "precision": "float32",
    "size_bytes": 1421503560,
    "sha256": "869f33df7928c447bbd150d3b5192b4ea90b1cbd2ee4aad97f5d51d59dfc8cfb",
    "unchanged_from_upstream": true
  },
  "generated_utc": "2026-09-20T10:24:59.474264+00:00",
  "build_environment": {
    "python": "3.13.0",
    "os": "Darwin",
    "os_version": "27.2",
    "architecture": "arm64",
    "packages": {
      "torch": "2.14.0",
      "transformers": "5.17.0",
      "tokenizers": "0.23.2",
      "huggingface-hub": "1.31.0",
      "safetensors": "0.8.0",
      "numpy": "2.5.3",
      "onnx": "1.23.0",
      "onnxruntime": "1.30.0",
      "onnxconverter-common": "1.16.0",
      "protobuf": "7.36.2",
      "ml-dtypes": "0.6.0"
    }
  },
  "maximum_sequence_tokens_including_special_tokens": 512,
  "num_labels": 4,
  "default_variant": "fp32",
  "variants": [
    {
      "id": "fp32",
      "path": "onnx/model.onnx",
      "recommended_default": true,
      "auto_select": true,
      "status": "numerical-smoke-tests-passed",
      "size_bytes": 1421900913,
      "sha256": "ddd1173f2ef517ad499965e5029fae8099a8054a2bc76d8134e5889cc4ed1b3e",
      "opsets": {
        "ai.onnx": 17
      },
      "ir_version": 8,
      "inputs": [
        {
          "name": "input_ids",
          "element_type": "INT64",
          "shape": [
            "batch",
            "sequence"
          ]
        },
        {
          "name": "attention_mask",
          "element_type": "INT64",
          "shape": [
            "batch",
            "sequence"
          ]
        }
      ],
      "outputs": [
        {
          "name": "logits",
          "element_type": "FLOAT",
          "shape": [
            "batch",
            4
          ]
        }
      ],
      "operators": {
        "Add": 244,
        "And": 2,
        "Cast": 8,
        "Concat": 100,
        "Constant": 548,
        "ConstantOfShape": 4,
        "CumSum": 1,
        "Div": 24,
        "Equal": 4,
        "Erf": 24,
        "Expand": 3,
        "Flatten": 1,
        "Gather": 58,
        "GatherElements": 1,
        "Gemm": 2,
        "GreaterOrEqual": 1,
        "LayerNormalization": 49,
        "MatMul": 192,
        "Mul": 77,
        "Not": 1,
        "Range": 3,
        "Reshape": 101,
        "Shape": 57,
        "Softmax": 24,
        "Tanh": 1,
        "Transpose": 96,
        "Unsqueeze": 207,
        "Where": 4
      },
      "external_tensor_files": [],
      "validated_provider": "CPUExecutionProvider",
      "numerical_check_passed": true,
      "validation_report": "validation/fp32.json",
      "accuracy_evaluated": false,
      "accelerator_execution_tested": false
    },
    {
      "id": "fp16",
      "path": "onnx/model_fp16.onnx",
      "recommended_default": false,
      "auto_select": false,
      "status": "numerical-smoke-tests-passed",
      "size_bytes": 711340748,
      "sha256": "a0da0f46c5026489c37137b5f455e092e09ac48eafd031bec6f05433c5c2ec01",
      "opsets": {
        "ai.onnx": 17
      },
      "ir_version": 8,
      "inputs": [
        {
          "name": "input_ids",
          "element_type": "INT64",
          "shape": [
            "batch",
            "sequence"
          ]
        },
        {
          "name": "attention_mask",
          "element_type": "INT64",
          "shape": [
            "batch",
            "sequence"
          ]
        }
      ],
      "outputs": [
        {
          "name": "logits",
          "element_type": "FLOAT",
          "shape": [
            "batch",
            4
          ]
        }
      ],
      "operators": {
        "Add": 244,
        "And": 2,
        "Cast": 9,
        "Concat": 100,
        "Constant": 548,
        "ConstantOfShape": 4,
        "CumSum": 1,
        "Div": 24,
        "Equal": 4,
        "Erf": 24,
        "Expand": 3,
        "Flatten": 1,
        "Gather": 58,
        "GatherElements": 1,
        "Gemm": 2,
        "GreaterOrEqual": 1,
        "LayerNormalization": 49,
        "MatMul": 192,
        "Mul": 77,
        "Not": 1,
        "Range": 3,
        "Reshape": 101,
        "Shape": 57,
        "Softmax": 24,
        "Tanh": 1,
        "Transpose": 96,
        "Unsqueeze": 207,
        "Where": 4
      },
      "external_tensor_files": [],
      "validated_provider": "CPUExecutionProvider",
      "numerical_check_passed": true,
      "validation_report": "validation/fp16.json",
      "accuracy_evaluated": false,
      "accelerator_execution_tested": false
    },
    {
      "id": "int8",
      "path": "onnx/model_int8.onnx",
      "recommended_default": false,
      "auto_select": false,
      "status": "experimental-parity-failed",
      "size_bytes": 514268444,
      "sha256": "bc1b9cb5a7a63fb7c5b67de3556e9e43cb4537bd6ce6bae3e6ad7cfce9552d23",
      "opsets": {
        "ai.onnx": 17
      },
      "ir_version": 8,
      "inputs": [
        {
          "name": "input_ids",
          "element_type": "INT64",
          "shape": [
            "batch",
            "sequence"
          ]
        },
        {
          "name": "attention_mask",
          "element_type": "INT64",
          "shape": [
            "batch",
            "sequence"
          ]
        }
      ],
      "outputs": [
        {
          "name": "logits",
          "element_type": "FLOAT",
          "shape": [
            "batch",
            4
          ]
        }
      ],
      "operators": {
        "Add": 246,
        "And": 2,
        "Cast": 154,
        "Concat": 100,
        "Constant": 548,
        "ConstantOfShape": 4,
        "CumSum": 1,
        "Div": 24,
        "DynamicQuantizeLinear": 98,
        "Equal": 4,
        "Erf": 24,
        "Expand": 3,
        "Flatten": 1,
        "Gather": 58,
        "GatherElements": 1,
        "GreaterOrEqual": 1,
        "LayerNormalization": 49,
        "MatMul": 48,
        "MatMulInteger": 146,
        "Mul": 369,
        "Not": 1,
        "Range": 3,
        "Reshape": 101,
        "Shape": 57,
        "Softmax": 24,
        "Tanh": 1,
        "Transpose": 96,
        "Unsqueeze": 207,
        "Where": 4
      },
      "external_tensor_files": [],
      "validated_provider": "CPUExecutionProvider",
      "numerical_check_passed": false,
      "validation_report": "validation/int8.json",
      "accuracy_evaluated": false,
      "accelerator_execution_tested": false
    }
  ],
  "limitations": [
    "Numerical conversion checks only; no labeled accuracy benchmark.",
    "INT8 is experimental and failed the documented numerical acceptance gate.",
    "No cross-platform or accelerated-provider compatibility certification.",
    "Checksums establish file integrity; they are not an independent publisher signature."
  ]
}