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recipe(mmarco-mMiniLMv2-L12-H384-v1): add CPU reranking recipes #1339

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recipe(mmarco-mMiniLMv2-L12-H384-v1): add CPU reranking recipes #1339

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b4be081
Add shared reranking eval support
ssss141414 Aug 20, 2026
64cef49
Add reproducible MS MARCO reranking fixture
ssss141414 Aug 20, 2026
4ef76c0
Fix reranking dataset mode discrimination
ssss141414 Aug 20, 2026
207d9ab
Fix reranking dataset mode discrimination
ssss141414 Aug 20, 2026
0286a7d
Preserve authoritative MS MARCO reranking order
ssss141414 Aug 20, 2026
2a2cd40
Fix reranking evaluator mypy contract
ssss141414 Aug 20, 2026
030e79f
Fix reranking postprocess override typing
ssss141414 Aug 20, 2026
d69bce4
Fix bounded default reranking evaluation
ssss141414 Aug 22, 2026
24d33c0
Stabilize reranking CLI regression
ssss141414 Aug 22, 2026
c1b96be
Patch CLI evaluator function directly
ssss141414 Aug 22, 2026
ca73a26
Wrap public eval entrypoint in regression
ssss141414 Aug 22, 2026
3708969
Patch stable ONNX loader dependencies
ssss141414 Aug 22, 2026
bc73777
Add mMARCO MiniLMv2 reranking recipes
ssss141414 Aug 23, 2026
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94 changes: 94 additions & 0 deletions ...les/recipes/cross-encoder_mmarco-mMiniLMv2-L12-H384-v1/cpu/cpu/reranking_fp16_config.json
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Original file line number Diff line number Diff line change
@@ -0,0 +1,94 @@
{
"export": {
"opset_version": 17,
"batch_size": 1,
"export_params": true,
"do_constant_folding": true,
"verbose": false,
"dynamo": false,
"enable_hierarchy_tags": true,
"clean_onnx": false,
"hierarchy_tag_format": "full",
"input_tensors": [
{
"name": "input_ids",
"dtype": "int32",
"shape": [
1,
512
],
"value_range": [
0,
250002
]
},
{
"name": "attention_mask",
"dtype": "int32",
"shape": [
1,
512
],
"value_range": [
0,
2
]
}
],
"output_tensors": [
{
"name": "logits"
}
]
},
"optim": {
"clamp_constant_values": true
},
"quant": {
"mode": "fp16",
"samples": 10,
"calibration_method": "minmax",
"weight_type": "uint8",
"activation_type": "uint8",
"per_channel": false,
"symmetric": false,
"weight_symmetric": null,
"activation_symmetric": null,
"save_calibration": false,
"distribution": "uniform",
"seed": null,
"calibration_load_path": null,
"calibration_save_path": null,
"op_types_to_quantize": null,
"nodes_to_exclude": null,
"task": "reranking",
"model_id": "cross-encoder/mmarco-mMiniLMv2-L12-H384-v1",
"model_type": "xlm-roberta",
"fp16_keep_io_types": true,
"fp16_op_block_list": null
},
"compile": null,
"loader": {
"task": "reranking",
"model_class": "AutoModelForSequenceClassification",
"model_type": "xlm-roberta"
},
"eval": {
"task": "reranking",
"dataset": {
"path": "C-MTEB/Mmarco-reranking",
"name": "default",
"split": "dev",
"samples": 2,
"shuffle": false,
"streaming": true,
"revision": "8e0c766dbe9e16e1d221116a3f36795fbade07f6",
"columns_mapping": {
"query_column": "query",
"positive_column": "positive",
"negative_column": "negative",
"max_candidates": "10"
}
}
}
}
72 changes: 72 additions & 0 deletions ...les/recipes/cross-encoder_mmarco-mMiniLMv2-L12-H384-v1/cpu/cpu/reranking_fp32_config.json
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Original file line number Diff line number Diff line change
@@ -0,0 +1,72 @@
{
"export": {
"opset_version": 17,
"batch_size": 1,
"export_params": true,
"do_constant_folding": true,
"verbose": false,
"dynamo": false,
"enable_hierarchy_tags": true,
"clean_onnx": false,
"hierarchy_tag_format": "full",
"input_tensors": [
{
"name": "input_ids",
"dtype": "int32",
"shape": [
1,
512
],
"value_range": [
0,
250002
]
},
{
"name": "attention_mask",
"dtype": "int32",
"shape": [
1,
512
],
"value_range": [
0,
2
]
}
],
"output_tensors": [
{
"name": "logits"
}
]
},
"optim": {
"clamp_constant_values": true
},
"quant": null,
"compile": null,
"loader": {
"task": "reranking",
"model_class": "AutoModelForSequenceClassification",
"model_type": "xlm-roberta"
},
"eval": {
"task": "reranking",
"dataset": {
"path": "C-MTEB/Mmarco-reranking",
"name": "default",
"split": "dev",
"samples": 2,
"shuffle": false,
"streaming": true,
"revision": "8e0c766dbe9e16e1d221116a3f36795fbade07f6",
"columns_mapping": {
"query_column": "query",
"positive_column": "positive",
"negative_column": "negative",
"max_candidates": "10"
}
}
}
}
65 changes: 65 additions & 0 deletions examples/recipes/cross-encoder_ms-marco-MiniLM-L6-v2/cpu/cpu/reranking_fp16_config.json
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Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,65 @@
{
"export": {
"opset_version": 17,
"batch_size": 1,
"export_params": true,
"do_constant_folding": true,
"verbose": false,
"dynamo": false,
"enable_hierarchy_tags": true,
"clean_onnx": false,
"hierarchy_tag_format": "full",
"input_tensors": [
{
"name": "input_ids",
"dtype": "int32",
"shape": [1, 512],
"value_range": [0, 30522]
},
{
"name": "attention_mask",
"dtype": "int32",
"shape": [1, 512],
"value_range": [0, 2]
},
{
"name": "token_type_ids",
"dtype": "int32",
"shape": [1, 512],
"value_range": [0, 2]
}
],
"output_tensors": [
{
"name": "logits"
}
]
},
"optim": {},
"quant": {
"mode": "fp16",
"samples": 10,
"calibration_method": "minmax",
"weight_type": "uint8",
"activation_type": "uint8",
"per_channel": false,
"symmetric": false,
"weight_symmetric": null,
"activation_symmetric": null,
"save_calibration": false,
"distribution": "uniform",
"seed": null,
"calibration_load_path": null,
"calibration_save_path": null,
"op_types_to_quantize": null,
"nodes_to_exclude": null,
"fp16_keep_io_types": true,
"fp16_op_block_list": null
},
"compile": null,
"loader": {
"task": "reranking",
"model_class": "AutoModelForSequenceClassification",
"model_type": "bert"
}
}
46 changes: 46 additions & 0 deletions examples/recipes/cross-encoder_ms-marco-MiniLM-L6-v2/cpu/cpu/reranking_fp32_config.json
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,46 @@
{
"export": {
"opset_version": 17,
"batch_size": 1,
"export_params": true,
"do_constant_folding": true,
"verbose": false,
"dynamo": false,
"enable_hierarchy_tags": true,
"clean_onnx": false,
"hierarchy_tag_format": "full",
"input_tensors": [
{
"name": "input_ids",
"dtype": "int32",
"shape": [1, 512],
"value_range": [0, 30522]
},
{
"name": "attention_mask",
"dtype": "int32",
"shape": [1, 512],
"value_range": [0, 2]
},
{
"name": "token_type_ids",
"dtype": "int32",
"shape": [1, 512],
"value_range": [0, 2]
}
],
"output_tensors": [
{
"name": "logits"
}
]
},
"optim": {},
"quant": null,
"compile": null,
"loader": {
"task": "reranking",
"model_class": "AutoModelForSequenceClassification",
"model_type": "bert"
}
}
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