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{
"assertions": {
"heterogeneous_outputs": true,
"scale_0_5_changes_logits": true,
"scale_1_changes_logits": true
},
"rows": [
{
"adapter": null,
"final_argmax_token": 1896,
"load_seconds": 43.908357076114044,
"max_abs_final_logit_delta_vs_base": 0.0,
"row": 0,
"scale": 0.0,
"text": " The function should be named `max_of_two` and take",
"token_ids": [
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"total_seconds": 59.21031142398715
},
{
"adapter": "code-lora-r16",
"final_argmax_token": 1548,
"load_seconds": 5.039828644832596,
"max_abs_final_logit_delta_vs_base": 25.716796875,
"row": 1,
"scale": 0.5,
"text": " #include <iostream>\nusing namespace std;\n\nint max(int",
"token_ids": [
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"total_seconds": 16.198358421912417
},
{
"adapter": "code-lora-r16",
"final_argmax_token": 1548,
"load_seconds": 8.739312588004395,
"max_abs_final_logit_delta_vs_base": 25.7861328125,
"row": 2,
"scale": 1.0,
"text": " #include <iostream>\nusing namespace std;\n\nint max(int",
"token_ids": [
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"total_seconds": 21.565866044955328
}
],
"runtime": {
"note": "The installed ORT exposes whole-run LoraAdapter activation, not the canonical row-wise parameter-overlay ABI. This probe executes the three heterogeneous logical rows independently after applying the same real PEFT deltas at each requested scale.",
"providers": [
"TensorrtExecutionProvider",
"CUDAExecutionProvider",
"CPUExecutionProvider"
],
"runtime": "onnxruntime"
},
"versions": {
"onnx_ir": "1.0.0",
"onnxruntime": "1.28.0",
"safetensors": "0.8.0",
"torch": "2.8.0+cu126",
"transformers": "5.16.0.dev0"
}
}