Text Classification
Transformers
ONNX
Safetensors
English
modernbert
rag
governance
hallucination-detection
evidence-verification
pyrrho
fitz-gov-v2
multi-label-classification
text-embeddings-inference
Instructions to use yafitzdev/pyrrho-v2-nano-g1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yafitzdev/pyrrho-v2-nano-g1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yafitzdev/pyrrho-v2-nano-g1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yafitzdev/pyrrho-v2-nano-g1") model = AutoModelForSequenceClassification.from_pretrained("yafitzdev/pyrrho-v2-nano-g1") - Notebooks
- Google Colab
- Kaggle
File size: 2,454 Bytes
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"schema_version": "pyrrho-v2-release-manifest-1.0",
"release": {
"model_id": "yafitzdev/pyrrho-v2-nano-g1",
"release_name": "pyrrho-v2-nano-g1",
"created_date": "2026-07-06",
"base_model": "answerdotai/ModernBERT-base",
"architecture": "ModernBertForSequenceClassification",
"num_logits": 18,
"max_length": 2048,
"trustworthy_threshold": null
},
"source_checkpoint": {
"path": "outputs/modernbert_base_v2_alpha_41358_active_20260704_seed42/best_model",
"run_id": "modernbert_base_v2_alpha_41358_active_20260704_seed42",
"seed": 42,
"training_rows": 41358,
"dataset_pointer": "fitz_gov_v2_41358_20260703"
},
"dataset": {
"hf_dataset_id": "yafitzdev/fitz-gov-v2",
"active_rows_file": "../fitz-gov-data-vaults/active/fitz_gov_v2_41358_20260703/merged_vault/accepted.rows.jsonl",
"poisoned_or_quarantined_rows_excluded": true
},
"heads": {
"evidence_verdict": [
"INSUFFICIENT",
"DISPUTED",
"SUFFICIENT"
],
"failure_mode": [
"none",
"unresolved_conflict",
"missing_or_incomplete_evidence",
"wrong_scope_or_version",
"ambiguous_request"
],
"retrieval_intents": [
"needs_lookup",
"needs_temporal_resolution",
"needs_comparison_or_set",
"needs_broad_coverage"
],
"evidence_kinds": [
"needs_text",
"needs_table_or_record",
"needs_code_or_symbol",
"needs_config_or_setting",
"needs_log_or_run_result",
"needs_document_layout"
]
},
"eval": {
"eval_overall_score": 0.949743230482894,
"eval_verdict_accuracy": 0.9726855209088712,
"eval_false_sufficient_rate": 0.04551920341394026,
"eval_failure_accuracy": 0.9601160261058739,
"eval_retrieval_exact_match": 0.8334541938602852,
"eval_retrieval_macro_f1": 0.9299832758138473,
"eval_evidence_kind_exact_match": 0.9809040367416002,
"eval_evidence_kind_macro_f1": 0.9949836611151947
},
"fitz_sage_benchmark": {
"balanced_fixed_evidence_toy_cases": "120/120",
"live_total": "86/120",
"live_core": "15/20",
"live_holdout": "38/50",
"live_holdout2": "33/50"
},
"artifacts": {
"transformers": [
"config.json",
"model.safetensors",
"tokenizer.json",
"tokenizer_config.json",
"special_tokens_map.json"
],
"onnx": [
"model.onnx",
"model_quantized.onnx",
"ort_config.json"
]
}
}
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