{"about":"Inputs to an ILLATE decision report: true labels and every option's answers as indexes into `labels` (-1: an answer outside the list), the label mapping applied before scoring, and each option's settings. 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4,1,3,8,4,1,3,4,4,5,8,4,4,3,4,4,3,4,3,4,4,4,0,4,3,1,4,3,3,1,8,0,4,5,7,3,0,1,4,3,4,4,3,3,13,3,4,8,3,4,3,12,3,4,4,3,3,4,4,4,4,5,4,2,5,7,4,4,3,13,4,0,3,5,13,7,4,3,4,3,8,0,7,8,3,3,7,4,4,4,4,5,4,3,4,4,11,1,3,0,5,3,3,3,4,4,4,3,5,4,3,3,4,3,3,4,4,5,4,4,4,4,4,8,0,3,3,2,8,3,4,3,0,4,3,4,4,1,0,13,4,3,2,3,3,5,0,4,4,8,3,4,1,3,4,3,0,4,4,7,1,2,3,5,3,5,4,1,4,0,3,1,3,3,4,3,5,2,3,3,3,4,1,4,4,4,8,4,1,1,3,3,4,3,2,0,3,5,12,3,4,5,4,5,3,3,0,3,4,4,0,4,7,4,3,4,3,0,5,12,7,4,5,3,3,8,4,4,13,4,3,3,3,5,4,3,3,0,5,4,5,4,0,4,3,3,4,5,3,4,5,4,13,4,4,3,8,4,1,4,3,4,4,3,0,4,3,1,5,7,8,8,8,5,4,4,7,8,4,13,8,4,4,4,3,7,4,3,3,1,3,12,4,0,4,3,4,3,3,0,0,3,4,13,3,4,3,4,3,1,4,4,4,4,3,3,12,4,3,9,4,2,4,3,8,5,4,1,3,12,3,4,4,11,4,5,5,3,4,4,4,4,4,3,3,4,5,4,0,1,4,4,4,5,3,4,4,3,5,0,3,3,5,0,4,4,4,4,4,4,3,4,3,4,12,1,4,3,12,0,3,5,4,4,1,3,8,4,3,3,3,4,4,0,4,0,4,2,4,4,5,3,4,4,5,3,4,1,6,3,3,4,4,4,4,1,4,3,4,8,3,4,4,5,13,4,0,3,4,3,4,5,4,3,3,3,1,5,3,8,4,4,5,1,3,4,3,4,4,3,3,3,4,4,4,4,8,3,12,4,4,1,3,7,8,3,3,4,4,4,4,4,3,3,4,4,3,4,4,4,4,5,4,3,4,1,3,5,2,13,0,4,3,10,12,5,8,1,4,5,9,7,3,3,4,3,1,4,4,3,7,0,3,13,4,12,0,5,4,8,10,3,13,4,4,3,4,4,4,5,1,5,3,3,13,5,5,4,4,4,11,3,3,3,0,12,3,7,8,4,13,4,0,5,3,0,0,4,4,1,4,4,2,3,3,4,3,3,4,4,4,2,1,8,5,11,3,4,12,3,3,8,4,3,2,3,4,3,5,3,3,0,4,1,3,3,4,5,5,4,4,3,2,3,4,4,0,3,3,4,4,3,4,4,4,7,0,4,4,3,4,0,0,4,3,4,12,5,3,4,5,12,3,4,3,5,3,4,3,3,4,4,4,0,1,4,3,4,4,5,4,3,5,4,4,3,5,1,4,1,4,1,4,4,0,3,4,4,5,3,4,4,4,4,7,4,3,5,3,12,0,7,3,4,5,4,3,5,3,3,4,3,3,3,3,4,0,4,13,0,3,8,3,10,1,13,5,10,8,3,4,4,0,4,4,8,3,5,1,4,4,3,8,3,5,4,4,3,3,3,3,3,4,5,4,4,3,3,3,3,4,4,4,3,5,12,8,0,3,3,3,4,12,4,10,3,3,4,4,4,11,4,1,3,13,1,0,0,3,10,3,8,4,1,5,3,2,4,4,11,4,6,1,4,4,4,3,4,8,1,0,0,4,8,5,3,4,4,3,4,4,5,3,3,4,2,1,4,2,4,4,4,8,5,3,4,3,4,3,3,3,4,1,4,0,0,4,4,3,4,3,3,4,4,3,5,5,9,13,0,3,4,3,3,13,0,1,0,3,5,7,3,3,5,3,4,3,3,3,3,3,4,4,3,0,4,4,1,9,5,8,4,4,0,4,3,5,13,4,5,5,4,3,11,3,3,1,5,13,7,3,1,7,3,3,4,3,4,5,3,3,6,4,3,3,4,3,3,4,5,4,1,8,5,7,3,4,3,4,3,0,4,3,3,3,3,1,4,3,3,4,4,4,12,4,3,5,3,10,3,3,4,5,3,3,3,3,3,13,13,13,3,4,4,1,4,2,4,3,13,3,3,5,3,1,1,4,4,0,5,3,4,4,3,3,4,2,4,5,7,3,0,1,3,0,12,0,4,4,1,4,4,3,3,4,1,4,12,4,4,7,13,4,1,3,4,3,4,4,0,4,5,5,4,4,3,5,3,3,13,1,3,0,3,4,13,0,4,4,3,3,4,4,2,3,4,0,1,3,4,5,4,4,13,3,3,0,4,4,3,8,4,5,4,4,0,4,4,1,3,4,13,4,3,3,1,4,5,1,0,8,0,1,3,3,4,3,4,4,4,3,5,4,9,12,0,0,0,12,5,12,2,0,3,3,1,4,0,3,4,5,3,3,4,4,3,3,5,13,4,4,4,4,0,4,3,3,4,4,3,3,4,4,3,4,4,0,8,5,3,4,10,3,4,3,3,11,5,3,4,0,3,4,4,3,3,3,3,4,4,3,4,3,3,4,0,7,3,5,4,5,4,8,4,12,0,3,3,8,4,0,4,0,4,4,4,7,0,12,3,4,5,4,4,3,5,7,1,3,4,3,5,5,4,4,0,7,4,3,1,4,0,3,3,3,3,5,1,4,0,3,5,3,5,4,1,4,2,3,4,3,4,3,3,4,4,4,4,4,4,0,3,4,4,3,4,8,3,3,1,4,8,3,0,5,1,4,3,2,3,3,4,3,3,3,3,1,4,1,4,3,4,8,4,10,3,2,4,4,0,5,5,4,4,4,1,3,3,3,0,4,4,0,3,7,1,8,3,4,8,3,0,3,0,3,11,4,4,5,3,1,1,4,4,0,4,3,3,3,8,5,3,4,3,4,5,4,4,3,1,3,8,3,4,13,4,3,1,4,3,5,3,1,0,3,3,5,0,3,3,3,1,3,3,5,8,3,12,0,4,13,1,4,4,1,9,1,8,4,4,3,3,4,4,8,3,4,3,4,3,3,5,1,0,2,13,4,8,3,4,4,5,3,4,4,7,0,3,4,4,3,4,4,8,4,1,3,4,1,4,3,5,3,5,3,4,8,4,13,12,13,1,4,0,3,5,4,11,1,8,4,3,7,4,4,1,4,3,5,4,3,4,4,4,3,0,0,0,4,4,1,3,4,3,3,4,4,0,5,5,3,8,4,4,3,4,4,5,4,3,11,5,3,4,4,3,4,0,7,3,8,4,9,3,4,3,4,3,3,8,4,5,3,4,1,4,4,7,3,4,3,1,4,4,3,4,1,3,3,13,5,2,4,13,4,0,4,4,4,4,0,5,1,3,3,0,13,0,3,5,8,3,3,3,5,0,4,3,0,4,3,3,4,4,0,5,4,0,13,4,1,4,1,4,4,4,2,3,4,0,4,3,4,3,4,3,5,0,4,3,5,0,4,4,13,1,11,0,3,5,4,1,3,4,3,1,3,4,8,1,4,8,3,4,3,3,5,4,3,3,3,5,3,4,12,12,4,4,4,3,4,3,4,2,4,4,4,8,4,3,0,4,3,3,8,12,4,12,4,4,0,3,12,0,0,8,3,4,3,13,0,4,4,3,4,4,4,5,0,4,12,3,0,5,4,4,4,4,4,3,4,1,4,4,0,1,13,4,1,4,4,0,3,3,4,1,4,4,4,3,1,8,3,5,0,3,13,3,2,0,2,3,4,8,0,7,5,3,0,4,13,3,1,5,4,3,3,4,3,4,4,4,4,3,3,4,3,4,4,3,4,4,4,4,3,4,1,2,3,3,5,4,3,4,4,4,13,3,3,0,8,3,13,5,0,3,4,3,0,3,4,12,8,4,4,12,8,0,12,1,1,4,4,3,1,4,4,11,4,8,4,3,4,4,3,2,5,4,3,3,0,4,5,3,1,3,4,4,3,0,1,3,4,3,3,5,4,4,3,4,4,0,5,5,4,4,0,5,4,4,4,0,3,3,8,3,1,3,3,4,3,8,4,0,5,1,4,3,1,4,3,1,3,4,7,0,5,8,5,5,0,3,5,4,7,4,1,13,4,4,4,1,3,4,4,1,3,3,5,3,3,5,4,4,5,0,11,3,8,4,3,4,4,4,1,0,4,0,4,0,5,13,3,4,3,0,4,3,3,3,3,3,0,4,4,0,4,4,5,3,4,4,4,4,4,4,3,7,1,0,3,13,1,4,3,7,3,8,4,0,4,4,3,4,3,8,4,10,4,3,1,4,3,4,3,13,12,4,4,4,0,0,4,3,8,3,3,5,3,4,4,2,3,3,4,4,4,4,4,1,3,8,3,4,7,1,3,3,3,3,11,5,5,4,4,4,3,8,3,10,1,0,7,4,3,0,3,3,5,5,3,4,4,13,3,4,4,5,4,3,3,4,3,3,3,4,5,4,3,8,5,2,1,8,5,11,0,7,4,0,13,5,5,4,0,5,5,12,0,0,3,4,5,1,5,4,3,1,4,5,8,3,7,1,1,4,0,8,3,4,4,8,4,5,3,8,3,3,12,3,0,4,1,4,0,3,3,3,4,0,5,4,4,4,3,3,5,5,5,4,1,1,13,7,8,0,12,3,4,4,3,8,8,4,5,4,4,3,3,3,5,1,1,10,3,1,4,3,4,3,5,3,4,4,5,0,0,4,5,7,8,0,3,3,1,4,3,4,3,3,4,3,3,4,3,3,1,3,3,3,8,5,3,0,4,1,3,4,4,3,3,3,12,4,4,4,4,3,1,0,7,4,8,5,0,3,1,3,1,3,11,3,3,3,4,8,4,4,3,1,4,0,3,3,0,4,9,4,0,5,8,8,4,4,3,7,0,4,4,4,8,1,3,1,3,3,4,7,1,4,8,5,3,0,4,3,4,4,4,3,11,4,4,3,4,0,4,1,4,1,5,0,4,3,4,4,11,4,4,3,3,3,3,3,3,1,4,3,3,0,4,3,3,4,3,5,4,3,3,3,3,12,3,3,1,1,3,5,4,4,0,4,3,13,4,0,4,4,4,4,3,10,3,3,0,3,5,4,0,4,3,0,3,3,3,4,1,3,3,0,3,0,4,1,3,8,3,5,1,4,4,3,3,1,10,12,3,3,3,0,5,12,4,3,4,4,9,3,4,3,3,4,4,12,4,12,1,3,4,3,3,4,4,13,3,3,3,3,0,0,4,0,8,3,4,7,12,4,3,4,5,8,4,3,5,5,7,3,13,0,12,0,3,1,4,5,7,4,3,13,3,1,5,2,13,4,4,4,3,3,4,13,3,0,4,13,8,4,12,5,4,3,4,0,12,2,7,0,4,4,1,4,4,0,8,2,3,1,5,3,8,5,0,0,0,3,1,0,1,3,1,3,4,5,3,3,0,3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+ LoRA","kind":"gpu","setup":"fine-tuned by ILLATE on 17,905 complaints; a client keeps the weights","gpu":"modal-l4","cpu":"modal","cores":4,"memory_gib":16,"rps":26.34,"one_off":3000,"one_off_note":"if ILLATE builds it: ILLATE's fixed migration fee on 9 Oct 2026, nothing up front for the first three clients, and nothing owed unless the model meets the agreed margin. In-house instead: about 45 minutes on one H100 plus your engineers' time","rps_note":"measured on these complaints at 64 requests in flight (p95 3,292 ms at that load), vLLM 0.31.0, 193 input tokens a call"},"bge-base-embeddings-classifier":{"name":"bge-base embeddings + classifier","kind":"cpu","setup":"trained on the same complaints","cpu":"modal","cores":1.0,"memory_gib":4,"rps":1.7,"one_off":0,"one_off_note":"built in-house: your team trains it on a CPU with the same harness. ILLATE has no fixed price for building one; your team's time is not counted","rps_note":"one complaint at a time on one core, measured on 300 of these complaints"},"bge-small-embeddings-classifier":{"name":"bge-small embeddings + classifier","kind":"cpu","setup":"trained on the same complaints","cpu":"modal","cores":1.0,"memory_gib":4,"rps":3.9,"one_off":0,"one_off_note":"built in-house: your team trains it on a CPU with the same harness. ILLATE has no fixed price for building one; your team's time is not counted","rps_note":"one complaint at a time on one core, measured on 300 of these complaints"},"minilm-embeddings-classifier":{"name":"MiniLM embeddings + classifier","kind":"cpu","setup":"trained on the same complaints","cpu":"modal","cores":1.0,"memory_gib":4,"rps":10.2,"one_off":0,"one_off_note":"built in-house: your team trains it on a CPU with the same harness. ILLATE has no fixed price for building one; your team's time is not counted","rps_note":"one complaint at a time on one core, measured on 300 of these complaints"},"tf-idf-classifier":{"name":"TF-IDF + classifier","kind":"cpu","setup":"trained on the same complaints","cpu":"modal","cores":1.0,"memory_gib":4,"rps":1011.5,"one_off":0,"one_off_note":"built in-house: your team trains it on a CPU with the same harness. ILLATE has no fixed price for building one; your team's time is not counted","rps_note":"one complaint at a time on one core, measured on 300 of these complaints"},"gpt-5-6-luna-category-list":{"name":"GPT-5.6 Luna (category list)","kind":"api","setup":"the 14 product names as filed, no examples, reasoning none","price":"gpt-5.6-luna","one_off":0,"one_off_note":"the switch is a prompt and request change your team makes; ILLATE's switch-to-Luna package ($750 fixed on 9 Oct 2026, offered when Luna passes your test) sets Luna up with retrieved examples instead","model_id":"gpt-5.6-luna","params":"reasoning effort none, max_completion_tokens 40, no temperature; the answer matched to the label list","prompt_href":"sample-decision-report-luna-prompt.txt"},"gpt-5-6-luna-20-similar-examples":{"name":"GPT-5.6 Luna (20 similar examples)","kind":"api","setup":"the 20 most similar training complaints as worked examples and a strict JSON-schema answer, reasoning none; pre-registered","price":"gpt-5.6-luna","one_off":750,"one_off_note":"if ILLATE sets it up: ILLATE's fixed switch-to-Luna package on 9 Oct 2026, offered when Luna passes your test, covering the search over your labelled examples, the prompt and schema, the request changes and a shadow run. $0 in fees if your team builds it, plus that work","model_id":"gpt-5.6-luna","params":"Structured Outputs (strict json_schema, an enum of the 14 products as filed); the 20 most similar training complaints (bge-small-en-v1.5, cosine) as user and assistant turns; reasoning effort none, max_completion_tokens 64","prompt_href":"sample-decision-report-luna-nearest20-prompt.txt"},"gpt-6-luna-category-list":{"name":"GPT-6 Luna (category list)","kind":"api","setup":"the 14 product names as filed, no examples, reasoning none","price":"gpt-6-luna","one_off":0,"one_off_note":"the switch is a prompt and request change your team makes; ILLATE's switch-to-Luna package ($750 fixed on 9 Oct 2026, offered when Luna passes your test) sets Luna up with retrieved examples instead","model_id":"gpt-6-luna","params":"reasoning effort none, max_completion_tokens 40, no temperature; the answer matched to the label list","prompt_href":"sample-decision-report-luna-prompt.txt"}},"attached":{"luna category-list prompt":"# System prompt GPT-5.6 Luna and GPT-6 Luna were given for every complaint (category list only).\n# The complaint text was the user message. Parameters: reasoning_effort none, max_completion_tokens 40.\n# The reply was matched to the list (illate.baselines.llm.parse_label); anything else is invalid.\n\nYou classify consumer complaints filed with the US Consumer Financial Protection Bureau by the financial product they are about.\nReply with exactly one category name from the list below and nothing else.\n\nCategories:\nChecking or savings account\nCredit card\nCredit card or prepaid card\nCredit reporting or other personal consumer reports\nCredit reporting, credit repair services, or other personal consumer reports\nDebt collection\nDebt or credit management\nMoney transfer, virtual currency, or money service\nMortgage\nPayday loan, title loan, or personal loan\nPayday loan, title loan, personal loan, or advance loan\nPrepaid card\nStudent loan\nVehicle loan or lease\n","luna nearest20 prompt":"# The pre-registered 20-example prompt (scripts/modal_openai_fair_more.py, handover/results/fair-run-more-preregistration.md), run on GPT-5.6 Luna.\n# Each call: this system message; then the 20 training complaints most similar to the one being classified (bge-small-en-v1.5, cosine), least similar first, each as a user message answered by the assistant with {\"label\": \"<its product as filed>\"}; then the complaint itself.\n# The examples differ per complaint and are not reproduced here. Answer format: Structured Outputs, a strict JSON schema whose only field, label, is an enum of the product names below. reasoning_effort none, max_completion_tokens 64.\n\nYou classify consumer complaints filed with the US Consumer Financial Protection Bureau by the financial product they are about.\nChoose the one category from the list below that best fits the customer's message.\n\nCategories:\nChecking or savings account\nCredit card\nCredit card or prepaid card\nCredit reporting or other personal consumer reports\nCredit reporting, credit repair services, or other personal consumer reports\nDebt collection\nDebt or credit management\nMoney transfer, virtual currency, or money service\nMortgage\nPayday loan, title loan, or personal loan\nPayday loan, title loan, personal loan, or advance loan\nPrepaid card\nStudent loan\nVehicle loan or lease\n"}}