{
 "name": "vela3-fast",
 "format": "vela3-encoder/1",
 "backbone": "UltraBERT-380M (24 layers, hidden 1024, 32K context); frozen decision backbone = soup_X2",
 "adapters": {
  "span": {
   "file": "span_adapter.safetensors",
   "lora_rank": 64,
   "lora_alpha": 128,
   "lora_layers": "all (24 layers x q/k/v/o/gate/up/down = 168 modules)",
   "full_layers": [
    20,
    21,
    22,
    23
   ],
   "switched_on": "every span question",
   "source": "span/ckpt-060000",
   "trained_on": "soup_X2"
  },
  "router": {
   "file": "router_adapter.safetensors",
   "lora_rank": 64,
   "lora_alpha": 128,
   "lora_layers": "all (168 modules)",
   "full_layers": [
    16,
    17,
    18,
    19,
    20,
    21,
    22,
    23
   ],
   "switched_on": "choice / set questions whose instructions are one of the 18 router texts (router_questions.json; router_texts_v2: + MASSIVE intent / scenario)",
   "source": "router/ckpt-070000",
   "trained_on": "soup_X2"
  },
  "relation": {
   "file": "relation_adapter.safetensors",
   "lora_rank": 128,
   "full_layers": [
    20,
    21,
    22,
    23
   ],
   "switched_on": "span questions with a relation wording (vela3_encoder._REL_Q), not router / evidence label sets",
   "source": "relation/ckpt-020000",
   "trained_on": "soup_X2"
  },
  "ner": {
   "file": "ner_adapter.safetensors",
   "lora_rank": 128,
   "full_layers": [
    20,
    21,
    22,
    23
   ],
   "switched_on": "names-only open-label entity questions",
   "source": "ner/ckpt-016000",
   "trained_on": "soup_X2"
  },
  "span_set": {
   "file": "span_sets_adapter.safetensors",
   "switched_on": "halu and PII label sets",
   "source": "span_sets/ckpt-060000",
   "trained_on": "soup_X2"
  },
  "evidence": {
   "file": "evidence_adapter.safetensors",
   "switched_on": "evidence questions (evidence label set, or evidence / support / cite wording outside pii / halu / toxic)",
   "source": "evidence/ckpt-060720",
   "trained_on": "soup_X2",
   "recipe": "evfast C1 (RESULTS_EVFAST.md §10.4) on X2",
   "lora_rank": 64,
   "lora_alpha": 128,
   "full_layers": [
    20,
    21,
    22,
    23
   ]
  }
 },
 "decisions": "choice / noul questions that are not router questions: the decision backbone, one encoder input per question (vela3_encoder.DecisionEncoder)",
 "router": {
  "set_threshold": 0.5,
  "set_threshold_source": "fixed 0.5 (not tuned)",
  "probabilities": "softmax over the real options, no temperature",
  "task_adapters": {
   "domain": {
    "ids": [
     "domain"
    ],
    "source": "domain/ckpt-006000",
    "file": "domain_adapter.safetensors"
   },
   "factcheck": {
    "ids": [
     "factcheck"
    ],
    "source": "factcheck/ckpt-000750",
    "file": "factcheck_adapter.safetensors"
   },
   "feedback": {
    "file": "feedback_df_adapter.safetensors",
    "ids": [
     "feedback"
    ],
    "source": "feedback_df/ckpt-002000"
   }
  }
 },
 "span": {
  "default_question": "Which spans are named entities of these types?",
  "threshold": 0.6,
  "relation_threshold": 0.55,
  "evidence": {
   "labels": [
    "evidence"
   ],
   "question": "Which spans of the context support the answer to the question?",
   "threshold": 0.5,
   "max_len": 32768,
   "buckets": [
    {
     "name": "short",
     "max_tokens": 2048,
     "threshold": 0.5
    },
    {
     "name": "long",
     "max_tokens": 1000000000000,
     "threshold": 0.4
    }
   ],
   "source": "short: ub_zs EV dev pick; long (> 2048 target tokens): QASPER validation thr half; one window up to 32768 tokens",
   "adapter": "evidence_adapter.safetensors"
  },
  "router_set_temperature": 0.29842907190322876,
  "thresholds_by_set": {
   "halu": 0.45,
   "toxic": 0.5
  },
  "pii_buckets": [
   {
    "name": "short",
    "max_tokens": 1024,
    "threshold": 0.35
   },
   {
    "name": "4K",
    "max_tokens": 6144,
    "threshold": 0.95
   },
   {
    "name": "8K",
    "max_tokens": 1000000000000,
    "threshold": 0.4
   }
  ],
  "threshold_sources": {
   "open_relation_evidence": "ub_zs dev on this package",
   "evidence_long": "kd_eval QASPER-validation thr half",
   "halu_pii": "score_schema_r4 dev on the dev1 package, T_span from its eval_v2 calibration",
   "toxic": "not tuned (0.5)"
  },
  "router_label_sets": {
   "pii": [
    "AGE",
    "CREDIT_CARD",
    "DATE_TIME",
    "DOMAIN_NAME",
    "EMAIL_ADDRESS",
    "GPE",
    "IBAN_CODE",
    "IP_ADDRESS",
    "NRP",
    "ORGANIZATION",
    "PERSON",
    "PHONE_NUMBER",
    "STREET_ADDRESS",
    "TITLE",
    "US_DRIVER_LICENSE",
    "US_SSN",
    "ZIP_CODE"
   ],
   "halu": [
    "unsupported"
   ],
   "toxic": [
    "Criminal Planning/Confessions",
    "Violence",
    "Hate/Identity Hate",
    "Harassment",
    "Profanity",
    "Sexual",
    "Sexual (minor)",
    "Controlled/Regulated Substances",
    "PII/Privacy",
    "Guns and Illegal Weapons",
    "Suicide and Self Harm",
    "Unauthorized Advice",
    "Political/Misinformation/Conspiracy",
    "Fraud/Deception",
    "Illegal Activity",
    "Threat",
    "Copyright/Trademark/Plagiarism",
    "High Risk Gov Decision Making",
    "Immoral/Unethical",
    "Needs Caution",
    "Other",
    "S1",
    "S2",
    "S3",
    "S4",
    "S5",
    "S6",
    "S7",
    "S8",
    "S9",
    "S10",
    "S11",
    "S12",
    "S14",
    "others",
    "social_stereotypes_and_unfair_discrimination",
    "disseminating_false_or_misleading_information_encouraging_disinformation_campaigns",
    "violence_and_physical_harm",
    "private_information_individual",
    "sensitive_information_organization_government",
    "defamation_encouraging_unethical_or_unsafe_actions",
    "toxic_language_hate_speech",
    "fraud_assisting_illegal_activities",
    "copyright_violations",
    "causing_material_harm_by_disseminating_misinformation",
    "sexual_content",
    "mental_health_over-reliance_crisis"
   ]
  },
  "schemas": {
   "pii": {
    "question": "Which spans are personal information?",
    "labels": {
     "AGE": "a person's age",
     "CREDIT_CARD": "a payment card number",
     "DATE_TIME": "a date, time or date of birth",
     "DOMAIN_NAME": "an internet domain name or website address",
     "EMAIL_ADDRESS": "an e-mail address",
     "GPE": "a country, city, state or other geopolitical place",
     "IBAN_CODE": "an international bank account number (IBAN)",
     "IP_ADDRESS": "an IPv4 or IPv6 address",
     "NRP": "a nationality, religious or political group",
     "ORGANIZATION": "the name of a company, institution or other organisation",
     "PERSON": "a person's name",
     "PHONE_NUMBER": "a telephone number",
     "STREET_ADDRESS": "a street address or postal address",
     "TITLE": "a personal or professional title such as Dr. or Mrs.",
     "US_DRIVER_LICENSE": "a US driver's licence number",
     "US_SSN": "a US social security number",
     "ZIP_CODE": "a postal or ZIP code"
    },
    "over": "user"
   },
   "halu": {
    "question": "Which spans of the answer are not supported by the context?",
    "labels": {
     "unsupported": "a claim not supported by the context"
    },
    "over": "answer"
   },
   "toxic": {
    "question": "Which spans are harmful?",
    "labels": {
     "Criminal Planning/Confessions": "planning, assisting or confessing to a crime",
     "Violence": "inciting, threatening or describing physical violence against people",
     "Hate/Identity Hate": "hatred or dehumanisation targeting a protected identity",
     "Harassment": "targeted abuse, bullying or intimidation of a person",
     "Profanity": "obscene or vulgar language",
     "Sexual": "sexually explicit content involving adults",
     "Sexual (minor)": "any sexual content involving a minor",
     "Controlled/Regulated Substances": "obtaining, producing or misusing drugs or regulated substances",
     "PII/Privacy": "seeking or exposing personal or private information about someone",
     "Guns and Illegal Weapons": "acquiring, building or using weapons illegally",
     "Suicide and Self Harm": "self-harm, suicide or encouragement of either",
     "Unauthorized Advice": "medical, legal or financial advice given without qualification",
     "Political/Misinformation/Conspiracy": "political manipulation, misinformation or conspiracy content",
     "Fraud/Deception": "scams, phishing, forgery or deceiving others for gain",
     "Illegal Activity": "unlawful activity not covered by a more specific category",
     "Threat": "an explicit threat of harm directed at someone",
     "Copyright/Trademark/Plagiarism": "infringing copyright or passing off others' work",
     "High Risk Gov Decision Making": "high-stakes government, military or public-safety decisions",
     "Immoral/Unethical": "conduct that is unethical without being clearly illegal",
     "Needs Caution": "ambiguous content warranting caution without a clear violation",
     "Other": "a safety concern that no other category describes",
     "S1": "violent crimes, including terrorism and physical assault",
     "S2": "non-violent crimes such as theft, trafficking or cybercrime",
     "S3": "sex-related crimes including trafficking and sexual assault",
     "S4": "child sexual exploitation of any kind",
     "S5": "defamation, false damaging statements about a real person",
     "S6": "specialised medical, legal or financial advice without qualification",
     "S7": "privacy violations, exposing personal information",
     "S8": "intellectual property infringement",
     "S9": "indiscriminate weapons, chemical, biological, nuclear or radiological",
     "S10": "hate targeting a protected characteristic",
     "S11": "suicide and self-harm",
     "S12": "sexual content involving adults",
     "S14": "abuse of a code interpreter or execution environment",
     "others": "a safety concern that no other category describes",
     "social_stereotypes_and_unfair_discrimination": "stereotyping or unfair treatment based on a protected characteristic",
     "disseminating_false_or_misleading_information_encouraging_disinformation_campaigns": "spreading false or misleading claims, or organising a disinformation campaign",
     "violence_and_physical_harm": "inciting, threatening or describing physical harm to people",
     "private_information_individual": "seeking or exposing a private individual's personal information",
     "sensitive_information_organization_government": "seeking or exposing confidential organisational or government information",
     "defamation_encouraging_unethical_or_unsafe_actions": "defaming a real person, or encouraging unethical or unsafe conduct",
     "toxic_language_hate_speech": "abusive, degrading or hateful language directed at people",
     "fraud_assisting_illegal_activities": "scams, forgery or assistance with unlawful activity",
     "copyright_violations": "reproducing or infringing copyrighted material",
     "causing_material_harm_by_disseminating_misinformation": "false claims that cause concrete harm, such as medical or safety misinformation",
     "sexual_content": "sexually explicit content involving adults",
     "mental_health_over-reliance_crisis": "mental-health crisis content, or unsafe reliance on the model for care"
    },
    "over": "user"
   }
  },
  "window": {
   "max_len": 8192,
   "overlap": 512,
   "aggregation": "mean of word logits over windows",
   "evidence_max_len": 32768
  },
  "precision": "span / router passes in fp32 (as evaluated: dev reads and thresholds); Vela3Encoder.load(adapter_bf16=True) for bf16 autocast",
  "task_adapters": {
   "relation": "relation_adapter.safetensors",
   "ner": "ner_adapter.safetensors"
  },
  "relation": {
   "threshold_pair": 0.55,
   "threshold_multi": 0.45,
   "source": "rel_dev.py v3 on the dev1 package (NER step = the NER adapter at 0.6): pair = head-conditioned dev pick, multi = CoNLL04 + CrossRE dev e2e pick"
  },
  "ner": {
   "threshold": 0.6,
   "source": "ner_dev.py on this package: one threshold on the thr halves of ner_shift / hier / ner_shift_lc (names only)"
  },
  "threshold_note": "evfast: evidence thresholds from dev reads on this package (set_ev.py, 2026-10-24T20:11:06Z); other thresholds provisional (copied), not used by evidence questions",
  "entity_route": "ner",
  "entity_route_relation_pipeline": "span",
  "set_adapter": {
   "file": "span_sets_adapter.safetensors",
   "label_sets": [
    "halu",
    "pii"
   ],
   "router_set_temperature": 0.29842907190322876,
   "thresholds_by_set": {
    "halu": 0.45
   },
   "pii_buckets": [
    {
     "name": "short",
     "max_tokens": 1024,
     "threshold": 0.35
    },
    {
     "name": "4K",
     "max_tokens": 6144,
     "threshold": 0.95
    },
    {
     "name": "8K",
     "max_tokens": 1000000000000,
     "threshold": 0.4
    }
   ],
   "source": "span_sets/ckpt-060000 (dev2 package: T_span / halu / PII buckets)"
  }
 },
 "build": "final: soup_X2 + span span/ckpt-060000, span_sets span_sets/ckpt-060000, router router/ckpt-070000, relation relation/ckpt-020000, ner ner/ckpt-016000, domain domain/ckpt-006000, factcheck factcheck/ckpt-000750, feedback_df feedback_df/ckpt-002000",
 "build_df": {
  "feedback": {
   "source": "feedback_df/ckpt-002000",
   "tensors": 421,
   "params": 143416066
  }
 }
}