Add files using upload-large-folder tool
Browse files- README.md +146 -0
- config.json +121 -0
- manifest.json +84 -0
- model.onnx +3 -0
- model.safetensors +3 -0
- model_quantized.onnx +3 -0
- ort_config.json +33 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +945 -0
README.md
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---
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| 2 |
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license: cc-by-nc-4.0
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base_model: answerdotai/ModernBERT-base
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library_name: transformers
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pipeline_tag: text-classification
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tags:
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- rag
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| 8 |
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- governance
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- pyrrho
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- fitz-gov-v2
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| 11 |
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- modernbert
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- multi-label-classification
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---
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# pyrrho-v2-nano-g1
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`pyrrho-v2-nano-g1` is a ModernBERT-base classifier for Fitz RAG governance.
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It replaces the older Pyrrho g5 multitask shape with four v2 heads:
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- `evidence_verdict`: `INSUFFICIENT`, `DISPUTED`, `SUFFICIENT`
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- `failure_mode`: `none`, `unresolved_conflict`, `missing_or_incomplete_evidence`, `wrong_scope_or_version`, `ambiguous_request`
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- `retrieval_intents`: multi-label `needs_lookup`, `needs_temporal_resolution`, `needs_comparison_or_set`, `needs_broad_coverage`
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- `evidence_kinds`: multi-label `needs_text`, `needs_table_or_record`, `needs_code_or_symbol`, `needs_config_or_setting`, `needs_log_or_run_result`, `needs_document_layout`
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The model is intended for local governance in `fitz-sage`: decide whether
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retrieved evidence is sufficient, insufficient, or disputed, and expose
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actionable retrieval/failure metadata.
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## Inputs
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Post-retrieval governance input:
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```text
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Question: <user query>
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Sources:
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[1] <retrieved source text>
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[2] <retrieved source text>
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```
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Pre-retrieval planning input:
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```text
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Question: <user query>
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| 45 |
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```
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## Output Decoding
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The 18 logits are not one flat softmax. Decode them by group:
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```python
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import torch
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from transformers import AutoModelForSequenceClassification, PreTrainedTokenizerFast
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model_id = "yafitzdev/pyrrho-v2-nano-g1"
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| 56 |
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tokenizer = PreTrainedTokenizerFast.from_pretrained(model_id)
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| 57 |
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model = AutoModelForSequenceClassification.from_pretrained(model_id).eval()
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| 58 |
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text = "Question: What is the capital of France?\n\nSources:\n[1] Paris is the capital of France."
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| 60 |
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encoded = tokenizer(text, return_tensors="pt", truncation=True, max_length=2048)
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| 61 |
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with torch.no_grad():
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| 62 |
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logits = model(**encoded).logits[0]
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| 63 |
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verdict_labels = ["INSUFFICIENT", "DISPUTED", "SUFFICIENT"]
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| 65 |
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failure_labels = [
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| 66 |
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"none",
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| 67 |
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"unresolved_conflict",
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| 68 |
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"missing_or_incomplete_evidence",
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| 69 |
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"wrong_scope_or_version",
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| 70 |
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"ambiguous_request",
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| 71 |
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]
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| 72 |
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intent_labels = [
|
| 73 |
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"needs_lookup",
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| 74 |
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"needs_temporal_resolution",
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| 75 |
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"needs_comparison_or_set",
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| 76 |
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"needs_broad_coverage",
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| 77 |
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]
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| 78 |
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kind_labels = [
|
| 79 |
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"needs_text",
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| 80 |
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"needs_table_or_record",
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| 81 |
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"needs_code_or_symbol",
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| 82 |
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"needs_config_or_setting",
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| 83 |
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"needs_log_or_run_result",
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| 84 |
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"needs_document_layout",
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| 85 |
+
]
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| 86 |
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|
| 87 |
+
verdict = verdict_labels[int(torch.softmax(logits[0:3], dim=-1).argmax())]
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| 88 |
+
failure = failure_labels[int(torch.softmax(logits[3:8], dim=-1).argmax())]
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| 89 |
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intents = [
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| 90 |
+
label for label, score in zip(intent_labels, torch.sigmoid(logits[8:12]))
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| 91 |
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if float(score) >= 0.5
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| 92 |
+
]
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| 93 |
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kinds = [
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| 94 |
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label for label, score in zip(kind_labels, torch.sigmoid(logits[12:18]))
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| 95 |
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if float(score) >= 0.5
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| 96 |
+
]
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| 97 |
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```
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| 98 |
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| 99 |
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## Training Snapshot
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| 101 |
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- Dataset: `fitz-gov-v2`
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| 102 |
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- Clean active training rows: 41,358
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| 103 |
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- Training source pointer: `fitz_gov_v2_41358_20260703`
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| 104 |
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- Poisoned/quarantined later data is excluded.
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| 105 |
+
- Base model: `answerdotai/ModernBERT-base`
|
| 106 |
+
- Seed: 42
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| 107 |
+
|
| 108 |
+
## Local Evaluation
|
| 109 |
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|
| 110 |
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Held-out training eval from `outputs/modernbert_base_v2_alpha_41358_active_20260704_seed42`:
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| 111 |
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|
| 112 |
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| Metric | Value |
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| 113 |
+
| --- | ---: |
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| 114 |
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| overall score | 0.9497 |
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| 115 |
+
| verdict accuracy | 0.9727 |
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| 116 |
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| false sufficient rate | 0.0455 |
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| 117 |
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| failure accuracy | 0.9601 |
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| 118 |
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| retrieval exact match | 0.8335 |
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| 119 |
+
| retrieval macro F1 | 0.9300 |
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| 120 |
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| evidence-kind exact match | 0.9809 |
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| 121 |
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| evidence-kind macro F1 | 0.9950 |
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| 122 |
+
|
| 123 |
+
Fitz-sage benchmark check for this release candidate:
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| 124 |
+
|
| 125 |
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| Benchmark | Result |
|
| 126 |
+
| --- | ---: |
|
| 127 |
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| balanced fixed-evidence toy cases | 120/120 |
|
| 128 |
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| live fitz-sage benchmark | 86/120 |
|
| 129 |
+
|
| 130 |
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The live benchmark result is the practical integration target; the fixed-evidence
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| 131 |
+
suite is a minimal sanity check for the governance head.
|
| 132 |
+
|
| 133 |
+
## Artifacts
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| 134 |
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|
| 135 |
+
This repository contains:
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| 136 |
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|
| 137 |
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- `model.safetensors`: Transformers checkpoint
|
| 138 |
+
- `model.onnx`: FP32 ONNX export
|
| 139 |
+
- `model_quantized.onnx`: INT8 dynamic ONNX export
|
| 140 |
+
- tokenizer/config files
|
| 141 |
+
- `manifest.json`: release metadata
|
| 142 |
+
|
| 143 |
+
## License
|
| 144 |
+
|
| 145 |
+
CC BY-NC 4.0. Free for research, evaluation, and personal use; commercial use
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| 146 |
+
requires a separate license.
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config.json
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| 1 |
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{
|
| 2 |
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"architectures": [
|
| 3 |
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"ModernBertForSequenceClassification"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": null,
|
| 8 |
+
"classifier_activation": "gelu",
|
| 9 |
+
"classifier_bias": false,
|
| 10 |
+
"classifier_dropout": 0.0,
|
| 11 |
+
"classifier_pooling": "mean",
|
| 12 |
+
"cls_token_id": 50281,
|
| 13 |
+
"decoder_bias": true,
|
| 14 |
+
"deterministic_flash_attn": false,
|
| 15 |
+
"dtype": "float32",
|
| 16 |
+
"embedding_dropout": 0.0,
|
| 17 |
+
"eos_token_id": null,
|
| 18 |
+
"global_attn_every_n_layers": 3,
|
| 19 |
+
"global_rope_theta": 160000.0,
|
| 20 |
+
"gradient_checkpointing": false,
|
| 21 |
+
"hidden_activation": "gelu",
|
| 22 |
+
"hidden_size": 768,
|
| 23 |
+
"id2label": {
|
| 24 |
+
"0": "evidence_verdict.INSUFFICIENT",
|
| 25 |
+
"1": "evidence_verdict.DISPUTED",
|
| 26 |
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"2": "evidence_verdict.SUFFICIENT",
|
| 27 |
+
"3": "failure_mode.none",
|
| 28 |
+
"4": "failure_mode.unresolved_conflict",
|
| 29 |
+
"5": "failure_mode.missing_or_incomplete_evidence",
|
| 30 |
+
"6": "failure_mode.wrong_scope_or_version",
|
| 31 |
+
"7": "failure_mode.ambiguous_request",
|
| 32 |
+
"8": "retrieval_intents.needs_lookup",
|
| 33 |
+
"9": "retrieval_intents.needs_temporal_resolution",
|
| 34 |
+
"10": "retrieval_intents.needs_comparison_or_set",
|
| 35 |
+
"11": "retrieval_intents.needs_broad_coverage",
|
| 36 |
+
"12": "evidence_kinds.needs_text",
|
| 37 |
+
"13": "evidence_kinds.needs_table_or_record",
|
| 38 |
+
"14": "evidence_kinds.needs_code_or_symbol",
|
| 39 |
+
"15": "evidence_kinds.needs_config_or_setting",
|
| 40 |
+
"16": "evidence_kinds.needs_log_or_run_result",
|
| 41 |
+
"17": "evidence_kinds.needs_document_layout"
|
| 42 |
+
},
|
| 43 |
+
"initializer_cutoff_factor": 2.0,
|
| 44 |
+
"initializer_range": 0.02,
|
| 45 |
+
"intermediate_size": 1152,
|
| 46 |
+
"label2id": {
|
| 47 |
+
"evidence_kinds.needs_code_or_symbol": 14,
|
| 48 |
+
"evidence_kinds.needs_config_or_setting": 15,
|
| 49 |
+
"evidence_kinds.needs_document_layout": 17,
|
| 50 |
+
"evidence_kinds.needs_log_or_run_result": 16,
|
| 51 |
+
"evidence_kinds.needs_table_or_record": 13,
|
| 52 |
+
"evidence_kinds.needs_text": 12,
|
| 53 |
+
"evidence_verdict.DISPUTED": 1,
|
| 54 |
+
"evidence_verdict.INSUFFICIENT": 0,
|
| 55 |
+
"evidence_verdict.SUFFICIENT": 2,
|
| 56 |
+
"failure_mode.ambiguous_request": 7,
|
| 57 |
+
"failure_mode.missing_or_incomplete_evidence": 5,
|
| 58 |
+
"failure_mode.none": 3,
|
| 59 |
+
"failure_mode.unresolved_conflict": 4,
|
| 60 |
+
"failure_mode.wrong_scope_or_version": 6,
|
| 61 |
+
"retrieval_intents.needs_broad_coverage": 11,
|
| 62 |
+
"retrieval_intents.needs_comparison_or_set": 10,
|
| 63 |
+
"retrieval_intents.needs_lookup": 8,
|
| 64 |
+
"retrieval_intents.needs_temporal_resolution": 9
|
| 65 |
+
},
|
| 66 |
+
"layer_norm_eps": 1e-05,
|
| 67 |
+
"layer_types": [
|
| 68 |
+
"full_attention",
|
| 69 |
+
"sliding_attention",
|
| 70 |
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"sliding_attention",
|
| 71 |
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"full_attention",
|
| 72 |
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"sliding_attention",
|
| 73 |
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"sliding_attention",
|
| 74 |
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"full_attention",
|
| 75 |
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"sliding_attention",
|
| 76 |
+
"sliding_attention",
|
| 77 |
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"full_attention",
|
| 78 |
+
"sliding_attention",
|
| 79 |
+
"sliding_attention",
|
| 80 |
+
"full_attention",
|
| 81 |
+
"sliding_attention",
|
| 82 |
+
"sliding_attention",
|
| 83 |
+
"full_attention",
|
| 84 |
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"sliding_attention",
|
| 85 |
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"sliding_attention",
|
| 86 |
+
"full_attention",
|
| 87 |
+
"sliding_attention",
|
| 88 |
+
"sliding_attention",
|
| 89 |
+
"full_attention"
|
| 90 |
+
],
|
| 91 |
+
"local_attention": 128,
|
| 92 |
+
"local_rope_theta": 10000.0,
|
| 93 |
+
"max_position_embeddings": 8192,
|
| 94 |
+
"mlp_bias": false,
|
| 95 |
+
"mlp_dropout": 0.0,
|
| 96 |
+
"model_type": "modernbert",
|
| 97 |
+
"norm_bias": false,
|
| 98 |
+
"norm_eps": 1e-05,
|
| 99 |
+
"num_attention_heads": 12,
|
| 100 |
+
"num_hidden_layers": 22,
|
| 101 |
+
"pad_token_id": 50283,
|
| 102 |
+
"position_embedding_type": "absolute",
|
| 103 |
+
"problem_type": "multi_label_classification",
|
| 104 |
+
"repad_logits_with_grad": false,
|
| 105 |
+
"rope_parameters": {
|
| 106 |
+
"full_attention": {
|
| 107 |
+
"rope_theta": 160000.0,
|
| 108 |
+
"rope_type": "default"
|
| 109 |
+
},
|
| 110 |
+
"sliding_attention": {
|
| 111 |
+
"rope_theta": 10000.0,
|
| 112 |
+
"rope_type": "default"
|
| 113 |
+
}
|
| 114 |
+
},
|
| 115 |
+
"sep_token_id": 50282,
|
| 116 |
+
"sparse_pred_ignore_index": -100,
|
| 117 |
+
"sparse_prediction": false,
|
| 118 |
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"transformers_version": "4.57.6",
|
| 119 |
+
"use_cache": false,
|
| 120 |
+
"vocab_size": 50368
|
| 121 |
+
}
|
manifest.json
ADDED
|
@@ -0,0 +1,84 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "pyrrho-v2-release-manifest-1.0",
|
| 3 |
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"release": {
|
| 4 |
+
"model_id": "yafitzdev/pyrrho-v2-nano-g1",
|
| 5 |
+
"release_name": "pyrrho-v2-nano-g1",
|
| 6 |
+
"created_date": "2026-07-06",
|
| 7 |
+
"base_model": "answerdotai/ModernBERT-base",
|
| 8 |
+
"architecture": "ModernBertForSequenceClassification",
|
| 9 |
+
"num_logits": 18,
|
| 10 |
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"max_length": 2048,
|
| 11 |
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"trustworthy_threshold": null
|
| 12 |
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},
|
| 13 |
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"source_checkpoint": {
|
| 14 |
+
"path": "outputs/modernbert_base_v2_alpha_41358_active_20260704_seed42/best_model",
|
| 15 |
+
"run_id": "modernbert_base_v2_alpha_41358_active_20260704_seed42",
|
| 16 |
+
"seed": 42,
|
| 17 |
+
"training_rows": 41358,
|
| 18 |
+
"dataset_pointer": "fitz_gov_v2_41358_20260703"
|
| 19 |
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},
|
| 20 |
+
"dataset": {
|
| 21 |
+
"hf_dataset_id": "yafitzdev/fitz-gov-v2",
|
| 22 |
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"active_rows_file": "../fitz-gov-data-vaults/active/fitz_gov_v2_41358_20260703/merged_vault/accepted.rows.jsonl",
|
| 23 |
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"poisoned_or_quarantined_rows_excluded": true
|
| 24 |
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},
|
| 25 |
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"heads": {
|
| 26 |
+
"evidence_verdict": [
|
| 27 |
+
"INSUFFICIENT",
|
| 28 |
+
"DISPUTED",
|
| 29 |
+
"SUFFICIENT"
|
| 30 |
+
],
|
| 31 |
+
"failure_mode": [
|
| 32 |
+
"none",
|
| 33 |
+
"unresolved_conflict",
|
| 34 |
+
"missing_or_incomplete_evidence",
|
| 35 |
+
"wrong_scope_or_version",
|
| 36 |
+
"ambiguous_request"
|
| 37 |
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],
|
| 38 |
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"retrieval_intents": [
|
| 39 |
+
"needs_lookup",
|
| 40 |
+
"needs_temporal_resolution",
|
| 41 |
+
"needs_comparison_or_set",
|
| 42 |
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"needs_broad_coverage"
|
| 43 |
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],
|
| 44 |
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"evidence_kinds": [
|
| 45 |
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"needs_text",
|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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]
|
| 52 |
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},
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| 53 |
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"eval": {
|
| 54 |
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"eval_overall_score": 0.949743230482894,
|
| 55 |
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"eval_verdict_accuracy": 0.9726855209088712,
|
| 56 |
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| 57 |
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"eval_failure_accuracy": 0.9601160261058739,
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| 58 |
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| 59 |
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| 60 |
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|
| 61 |
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"eval_evidence_kind_macro_f1": 0.9949836611151947
|
| 62 |
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},
|
| 63 |
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"fitz_sage_benchmark": {
|
| 64 |
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"balanced_fixed_evidence_toy_cases": "120/120",
|
| 65 |
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"live_total": "86/120",
|
| 66 |
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"live_core": "15/20",
|
| 67 |
+
"live_holdout": "38/50",
|
| 68 |
+
"live_holdout2": "33/50"
|
| 69 |
+
},
|
| 70 |
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"artifacts": {
|
| 71 |
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"transformers": [
|
| 72 |
+
"config.json",
|
| 73 |
+
"model.safetensors",
|
| 74 |
+
"tokenizer.json",
|
| 75 |
+
"tokenizer_config.json",
|
| 76 |
+
"special_tokens_map.json"
|
| 77 |
+
],
|
| 78 |
+
"onnx": [
|
| 79 |
+
"model.onnx",
|
| 80 |
+
"model_quantized.onnx",
|
| 81 |
+
"ort_config.json"
|
| 82 |
+
]
|
| 83 |
+
}
|
| 84 |
+
}
|
model.onnx
ADDED
|
@@ -0,0 +1,3 @@
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| 3 |
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size 599049587
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model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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size 598489008
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model_quantized.onnx
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 150664051
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ort_config.json
ADDED
|
@@ -0,0 +1,33 @@
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|
|
|
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|
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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"quantization": {
|
| 6 |
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|
| 7 |
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"activations_symmetric": false,
|
| 8 |
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"format": "QOperator",
|
| 9 |
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"is_static": false,
|
| 10 |
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"mode": "IntegerOps",
|
| 11 |
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"nodes_to_exclude": [],
|
| 12 |
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"nodes_to_quantize": [],
|
| 13 |
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"operators_to_quantize": [
|
| 14 |
+
"Conv",
|
| 15 |
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"MatMul",
|
| 16 |
+
"Attention",
|
| 17 |
+
"LSTM",
|
| 18 |
+
"Gather",
|
| 19 |
+
"Transpose",
|
| 20 |
+
"EmbedLayerNormalization"
|
| 21 |
+
],
|
| 22 |
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"per_channel": false,
|
| 23 |
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|
| 24 |
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"qdq_dedicated_pair": false,
|
| 25 |
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"qdq_op_type_per_channel_support_to_axis": {
|
| 26 |
+
"MatMul": 1
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| 27 |
+
},
|
| 28 |
+
"reduce_range": false,
|
| 29 |
+
"weights_dtype": "QInt8",
|
| 30 |
+
"weights_symmetric": true
|
| 31 |
+
},
|
| 32 |
+
"use_external_data_format": false
|
| 33 |
+
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|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,37 @@
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|
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|
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|
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|
|
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|
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|
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|
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|
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|
|
|
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|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": {
|
| 3 |
+
"content": "[CLS]",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"mask_token": {
|
| 10 |
+
"content": "[MASK]",
|
| 11 |
+
"lstrip": true,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "[PAD]",
|
| 18 |
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"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
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"sep_token": {
|
| 24 |
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"content": "[SEP]",
|
| 25 |
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"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"unk_token": {
|
| 31 |
+
"content": "[UNK]",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
}
|
| 37 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,945 @@
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|
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| 1 |
+
{
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| 2 |
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"added_tokens_decoder": {
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| 3 |
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"0": {
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| 4 |
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| 5 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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},
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| 11 |
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"1": {
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| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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"rstrip": false,
|
| 16 |
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| 17 |
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"special": true
|
| 18 |
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},
|
| 19 |
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"50254": {
|
| 20 |
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| 21 |
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|
| 22 |
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| 23 |
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| 24 |
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|
| 25 |
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"special": false
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| 26 |
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},
|
| 27 |
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|
| 28 |
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| 29 |
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| 30 |
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| 31 |
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|
| 32 |
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|
| 33 |
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| 34 |
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| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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| 40 |
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|
| 41 |
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| 42 |
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| 43 |
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|
| 44 |
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| 45 |
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| 46 |
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|
| 47 |
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|
| 48 |
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| 49 |
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|
| 50 |
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| 51 |
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|
| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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|
| 68 |
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| 69 |
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|
| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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|
| 76 |
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| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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| 82 |
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| 83 |
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|
| 84 |
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| 85 |
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| 86 |
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| 87 |
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| 88 |
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| 89 |
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| 90 |
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| 91 |
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| 92 |
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| 93 |
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| 94 |
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| 96 |
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| 97 |
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|
| 98 |
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| 99 |
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|
| 100 |
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| 101 |
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| 102 |
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| 103 |
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|
| 104 |
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| 105 |
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|
| 106 |
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| 107 |
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|
| 108 |
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| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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| 114 |
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| 115 |
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|
| 116 |
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| 117 |
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| 118 |
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| 119 |
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| 120 |
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| 121 |
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| 122 |
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| 123 |
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|
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