{
 "card": "Model Fight \u2014 Card 4",
 "run": 1,
 "run_note": "Card 4, run at the 2026-11-07 23:00 ET nightly slot, card dated 2026-11-08 per the series convention (Card 2: run 2026-11-05 23:00, dated 2026-11-06). SINGLE FORMAT per David ruling: leagues (JV/Varsity) are effective from Card 5; Card 4 runs the frozen mechanic + Card 1 Run 2 control amendments + the ADOPTED 2026-11-07 four-check eval-validation rule WITH the silence-is-not-a-verdict amendment: (1) not an echo, (2) answer key verified independently (deterministic arithmetic solver where the eval type allows, otherwise unrelated roster solvers), (3) solvable in principle (the verifying solution counts), (4) self-consistency floor retained. A failed check = BACKFIRE -20 and the eval never enters play; checks 2-3 INCONCLUSIVE on verifier silence = eval does not enter play and NO backfire. Each eval validation result is recorded per author.",
 "date": "2026-11-08",
 "run_started": "2026-11-07T23:00:00-05:00",
 "mechanic": {
  "format": "10 fighters, 100 HP, melee; peer-authored evals; backfire -20 for invalid eval; -10 per failed attempt",
  "author_prompt": "You are a fighter in Model Fight, a peer-evaluation brawl. Author ONE evaluation task that the other fighters will attempt. The task must have a single correct answer that can be checked mechanically: a short exact string or a number. The answer must NOT appear anywhere in the task text. Make it hard enough that a careless model fails, but fully determined: exactly one correct answer.\n\nReply with EXACTLY this format and nothing else:\nTASK: <the task statement, one line>\nANSWER: <the single correct answer>",
  "attempt_template": "TASK: {task}\n\nReply with ONLY the answer. No explanation, no extra words.",
  "author_num_predict": 800,
  "attempt_num_predict": 300,
  "temperature": 0,
  "seed": 0,
  "thinking_policy": "Ollama returns thinking traces in a separate field; they are recorded as unscored evidence and never scored \u2014 only the answer (content) channel is checked. Token budgets (author 800 / attempt 300) were set generously enough for a thinking model to finish a short think and still answer; burning the whole budget in thought and never answering is a fail.",
  "checker": "normalized exact match (lowercase, whitespace-collapsed, surrounding quotes/trailing period stripped) against the full response or its first line; numeric-equivalence fallback (floats equal within 1e-9 after removing , $ %)",
  "control_check": "TASK/ANSWER lines present; task >= 10 chars; answer <= 60 chars and a plain short string/number; normalized answer not a substring of normalized task; reference answer passes its own checker",
  "tiebreaks": [
   "highest HP",
   "fewest failed attempts",
   "most clean hits inflicted",
   "fastest median attempt wall time"
  ]
 },
 "fighters": [
  {
   "slot": "qwen-ablit-08b",
   "hf_repo": "OpceanAI/Qwen3.5-0.8B-abliterated-GGUF",
   "ollama_name": "brawl-qwen-ablit-08b",
   "kind": "original GGUF (Qwen3.5-0.8B abliterated)",
   "why": "4595dl - APEX lane highest downloads in window; digest Top 15 #10",
   "file": "Qwen3.5-0.8B-abliterated-Q4_K_M.gguf",
   "bytes_expected": 541905344,
   "bytes_actual": 541905344,
   "file_sha256": "35a35d9f6baf63ef70b272b30ea920010ac2d585c439d7176f0f830dea58c9b3",
   "smoke": {
    "response": "",
    "thinking": "Thinking Process:\n\n1.  **Analyze the Request:**\n    *   Input: \"Reply with exactly: OK\"\n    *   Constraint: \"Reply with exactly: OK\"\n    *   Goal: Provide a response that matches the constraint precisely.\n\n2.  **Determine the Output:**\n    *   The user wants the word \"OK\" to be the exact output.\n    *   There is no ambiguity.\n\n3.  **",
    "wall_s": 89.83,
    "eval_count": 96
   },
   "status": "ready"
  },
  {
   "slot": "qwen-heretic-7b",
   "hf_repo": "mradermacher/Qwen2.5-7B-Instruct-ARA-heretic-i1-GGUF",
   "ollama_name": "brawl-qwen-heretic-7b",
   "kind": "quant re-upload (Qwen2.5-7B heretic)",
   "why": "2480dl; Qwen2.5-7B ARA-heretic, APEX-relevant",
   "file": "Qwen2.5-7B-Instruct-ARA-heretic.i1-Q4_K_M.gguf",
   "bytes_expected": 4683075136,
   "bytes_actual": 4683075136,
   "file_sha256": "c0e12582d0c9456adf1cae736d2d9456fa984f0222fd608976fa41ca4a229d67",
   "smoke": {
    "response": "OK",
    "thinking": "",
    "wall_s": 26.42,
    "eval_count": 2
   },
   "status": "ready"
  },
  {
   "slot": "droidsenior-7b",
   "hf_repo": "mradermacher/DroidSenior-7B-v3-i1-GGUF",
   "ollama_name": "brawl-droidsenior-7b",
   "kind": "quant re-upload (DroidSenior-7B v3)",
   "why": "2262dl; 7B class, unknown line",
   "file": "DroidSenior-7B-v3.i1-Q4_K_M.gguf",
   "bytes_expected": 4683075488,
   "bytes_actual": 4683075488,
   "file_sha256": "f0c017bd69703ad0d2be3df552bf7176126cde865fa3817f8a40cefdacf5d65a",
   "smoke": {
    "response": "OK",
    "thinking": "",
    "wall_s": 1.81,
    "eval_count": 2
   },
   "status": "ready"
  },
  {
   "slot": "lfm3-17b",
   "hf_repo": "Mungert/LFM3-1.7B-GGUF",
   "ollama_name": "brawl-lfm3-17b",
   "kind": "quant GGUF (LFM3-1.7B)",
   "why": "1693dl, 1 like; LFM family diversity",
   "file": "LFM3-1.7B-q4_k_m.gguf",
   "bytes_expected": 1132838688,
   "bytes_actual": 1132838688,
   "file_sha256": "6a6fc724eb870dd47e1ac887bb4c2ee876bbe8b69df214adb59bcc88c1962995",
   "smoke": {
    "response": "OK",
    "thinking": "The user asks: \"Reply with exactly: OK\". So we need to output exactly the string \"OK\". No extra punctuation, no extra spaces or characters. The instruction says \"Reply with exactly: OK\". So just respond with \"OK\". Ensure not to add any additional content.\n\nThus final answer: OK.",
    "wall_s": 28.42,
    "eval_count": 66
   },
   "status": "ready"
  },
  {
   "slot": "glb-coder-4b",
   "hf_repo": "mradermacher/Qwen3.5-4B-GLB-3D-Coder-MTP-Repacked-i1-GGUF",
   "ollama_name": "brawl-glb-coder-4b",
   "kind": "quant re-upload (Qwen3.5-4B coder MTP)",
   "why": "1135dl; Qwen3.5-4B coder",
   "file": "Qwen3.5-4B-GLB-3D-Coder-MTP-Repacked.i1-Q4_K_M.gguf",
   "bytes_expected": 2783448416,
   "bytes_actual": 2783448416,
   "file_sha256": "6ffb0faee443d5578d22c73229cc8acc416ae17494c1d642b2704bcefb618173",
   "smoke": {
    "response": "",
    "thinking": "We need respond likely need provide code? User asks \"Reply with exactly: OK\". Need create asset? We need infer environment no tools. Must output text likely HTML/CSS with button and OK. Need comply \"Reply with exactly: OK\" perhaps answer only OK, no extra? We should create complete standalone HTML with styling, export button, and use GLTFExporter imported via CDN. Need maybe exact phrase \"OK\". Since developer says respond with complete code etc. We need",
    "wall_s": 3.05,
    "eval_count": 96
   },
   "status": "ready"
  },
  {
   "slot": "spark-4b",
   "hf_repo": "mradermacher/Spark-x2.6-4B-HTML-i1-GGUF",
   "ollama_name": "brawl-spark-4b",
   "kind": "quant re-upload (Spark-x2.6-4B HTML)",
   "why": "1113dl, 1 like; 4B class",
   "file": "Spark-x2.6-4B-HTML.i1-Q4_K_M.gguf",
   "bytes_expected": 2600226848,
   "bytes_actual": 2600226848,
   "file_sha256": "a8d3e477ccf86ccd92654a988951749f5c13cc319777f09631904773561840e0",
   "smoke": {
    "response": "OK",
    "thinking": "We need to respond with exactly \"OK\". The user instruction says: \"Reply with exactly: OK\". So we should output \"OK\" and nothing else. But we are Mario-html, a helpful assistant generating visual content. However, the instruction is explicit: reply with exactly \"OK\". So we must comply. No thinking needed? The thinking_effort is high, but the response is just \"OK\". We should output exactly that.",
    "wall_s": 11.55,
    "eval_count": 93
   },
   "status": "ready"
  },
  {
   "slot": "twil-ablit-8b",
   "hf_repo": "mradermacher/TwIL-8B-Abliterated-Uncensored-i1-GGUF",
   "ollama_name": "brawl-twil-ablit-8b",
   "kind": "quant re-upload (TwIL-8B abliterated)",
   "why": "1089dl, 1 like; TwIL family, APEX-relevant",
   "file": "TwIL-8B-Abliterated-Uncensored.i1-Q4_K_M.gguf",
   "bytes_expected": 5347918432,
   "bytes_actual": 5347918432,
   "file_sha256": "415652540707f725c68cef0f9ac00b2199887149b7cb1683b9dadbae4a6217c0",
   "smoke": {
    "response": "OK",
    "thinking": "We need to respond with exactly \"OK\". No extra punctuation, no newline? The instruction: \"Reply with exactly: OK\". So output should be exactly the string \"OK\". Probably no trailing spaces or newline? Usually just \"OK\".",
    "wall_s": 2.45,
    "eval_count": 53
   },
   "status": "ready"
  },
  {
   "slot": "endexis-06b",
   "hf_repo": "NorviTech/endexis-qwen3-0.6b-dpo-merged",
   "ollama_name": "brawl-endexis-06b",
   "kind": "finetune (Qwen3-0.6B DPO merged)",
   "why": "1053dl; tiny Qwen3 DPO; GGUF presence resolved live",
   "file": "endexis-qwen3-0.6b-dpo-q4_k_m.gguf",
   "bytes_expected": 396704992,
   "bytes_actual": 396704992,
   "file_sha256": "a12f75a8bd4be4387b11dce7722210b16d94b61d3716fe7060b66a82546fda7a",
   "smoke": {
    "response": "<reasoning>\n1. Tenancy & Surface: Target tenancy=communityworks_or_continuum (multi-tenant); domain='CWC Encounter'. Multi-tenant CommunityWorks/Continuum requires DA Data Discovery Function (CWC ED); Standalone/RHO additionally permits custom C-language parsing.\n2. Entity Grain & Join-Explosion Guardrails: Anchor grain on ENCOUNTER.ADMITMENT_TYPE_CD (join key ENCNTR_ID / PERSON_ID / ORG",
    "thinking": "",
    "wall_s": 16.56,
    "eval_count": 96
   },
   "status": "ready"
  },
  {
   "slot": "laplace",
   "hf_repo": "bartowski/JuneoAI_Laplace-1-Vector-GGUF",
   "ollama_name": "brawl-laplace",
   "kind": "quant GGUF (Laplace-1 Vector)",
   "why": "887dl, 1 like; bartowski quant, unknown line",
   "file": "JuneoAI_Laplace-1-Vector-Q4_K_M.gguf",
   "bytes_expected": 2621105664,
   "bytes_actual": 2621105664,
   "file_sha256": "776cbde40f05e7fc28fcb73640d5f0389aca49d3b164c74fae5035ddd13725a0",
   "smoke": {
    "response": "OK",
    "thinking": "We need answer exactly \"OK\". Need comply. No extra.",
    "wall_s": 11.5,
    "eval_count": 16
   },
   "status": "ready"
  },
  {
   "slot": "fikra-2b",
   "hf_repo": "mradermacher/Fikra-Model-1-2B-GGUF",
   "ollama_name": "brawl-fikra-2b",
   "kind": "quant GGUF (Fikra-Model-1-2B)",
   "why": "774dl; Qwen-line 2B",
   "file": "Fikra-Model-1-2B.Q4_K_M.gguf",
   "bytes_expected": 3427879296,
   "bytes_actual": 3427879296,
   "file_sha256": "2b2127728ae0ae31fb9a1279c668ca40a29fa414fa213da5ff362563bcebcd29",
   "smoke": {
    "response": "OK",
    "thinking": "Thinking Process:\n1. Analyze the Request: The user asked the instruction: \"Reply with exactly: OK\".\n2. Determine the Goal: The response must strictly adhere to the requested output.\n3. Execute the Instruction: The required output is \"OK\".\n4. Final Output Generation.",
    "wall_s": 35.87,
    "eval_count": 67
   },
   "status": "ready"
  }
 ],
 "authoring": {
  "qwen-ablit-08b": {
   "fighter": "qwen-ablit-08b",
   "model": "brawl-qwen-ablit-08b",
   "response": "",
   "thinking": "Thinking Process:\n\n1.  **Analyze the Request:**\n    *   Role: Fighter in Model Fight (peer-evaluation brawl).\n    *   Task: Author ONE evaluation task (the other fighters will attempt).\n    *   Constraint 1: The task must have a single correct answer.\n    *   Constraint 2: The answer must be a short exact string or a number.\n    *   Constraint 3: The answer must NOT appear anywhere in the task text.\n    *   Constraint 4: The answer must be hard enough that a careless model fails, but fully determined.\n    *   Constraint 5: Exactly one correct answer.\n    *   Constraint 6: Reply with EXACTLY this format:\n        TASK: <the task statement>\n        ANSWER: <the single correct answer>\n    *   Constraint 7: The task statement must be one line.\n    *   Constraint 8: The answer must be a single string or number.\n\n2.  **Determine the Task:**\n    *   I need to create a task that is specific enough to be evaluated by a model, but not too specific to avoid ambiguity.\n    *   I need to ensure the answer is not in the task text.\n    *   I need to ensure the answer is a single string or number.\n    *   I need to ensure the answer is \"hard enough\" (e.g., requires a specific calculation, logic, or pattern recognition).\n    *   I need to ensure the answer is unique.\n\n3.  **Drafting the Task:**\n    *   Idea 1: Calculate the sum of digits in a number.\n    *   Idea 2: Identify the number of vowels in a word.\n    *   Idea 3: Find the first number that is a palindrome.\n    *   Idea 4: Calculate the sum of all prime numbers less than 100.\n    *   Idea 5: Count the number of times a specific character appears in a string.\n    *   Idea 6: Find the number of words in a sentence that start with a specific letter.\n    *   Idea 7: Calculate the sum of all even numbers from 1 to 100.\n    *   Idea 8: Find the number of times a specific character appears in a string.\n    *   Idea 9: Calculate the sum of all prime numbers less than 100.\n    *   Idea 10: Find the number of words in a sentence that start with a specific letter.\n\n    Let's try to make it a bit more specific to the \"ONE\" evaluation task style. Usually, these tasks are about counting or identifying a specific pattern.\n    Let's try: \"Count the number of words in the sentence 'Hello World'.\" -> Answer: 1.\n    Let's try: \"Find the number of words in the sentence 'Hello World'.\" -> Answer: 1.\n    Let's try: \"Find the number of words in the sentence 'Hello World'.\" -> Answer: 1.\n\n    Wait, I need to make sure the answer is not in the task text.\n    Let's try: \"Count the number of words in the sentence 'Hello World'.\" -> Answer: 1.\n    Let's try: \"Find the number of words in the sentence 'Hello World'.\" -> Answer: 1.\n\n    Actually, let's make it a bit more complex to ensure it's not too easy.\n    \"Count the number of words in the sentence 'Hello World'.\" -> Answer: 1.\n    \"Find the number of words in the sentence 'Hello World'.\" -> Answer: 1.\n\n    Let's try: \"Count the number of",
   "wall_s": 10.614,
   "total_duration_ns": 10611637634,
   "eval_count": 800,
   "prompt_eval_count": 120,
   "done_reason": "length",
   "parsed_task": null,
   "parsed_answer": null,
   "control_ok": false,
   "control_reasons": [
    "missing TASK line",
    "missing ANSWER line"
   ],
   "validation": {
    "check1_not_echo": true,
    "check2_key_verified": null,
    "check3_solvable": null,
    "check4_self_consistent": false
   }
  },
  "qwen-heretic-7b": {
   "fighter": "qwen-heretic-7b",
   "model": "brawl-qwen-heretic-7b",
   "response": "TASK: What is the 17th Mersenne prime?\nANSWER: 2147483647",
   "thinking": "",
   "wall_s": 2.316,
   "total_duration_ns": 2314460277,
   "eval_count": 29,
   "prompt_eval_count": 136,
   "done_reason": "stop",
   "parsed_task": "What is the 17th Mersenne prime?",
   "parsed_answer": "2147483647",
   "control_ok": false,
   "control_reasons": [
    "independent verification failed: solver droidsenior-7b answered '2^607 - 1' via independent-model"
   ],
   "verification": {
    "method": "independent-model",
    "solver": "droidsenior-7b",
    "solver_answer": "2^607 - 1",
    "key_verified": false,
    "solvable": false,
    "inconclusive": false,
    "attempts": [
     {
      "solver": "droidsenior-7b",
      "answer": "2^607 - 1",
      "silent": false,
      "done_reason": "stop",
      "eval_count": 9
     }
    ],
    "solver_wall_s": 0.483
   },
   "validation": {
    "check1_not_echo": true,
    "check2_key_verified": false,
    "check3_solvable": false,
    "check4_self_consistent": true
   }
  },
  "droidsenior-7b": {
   "fighter": "droidsenior-7b",
   "model": "brawl-droidsenior-7b",
   "response": "TASK: What is the capital of Peru?\nANSWER: Lima",
   "thinking": "",
   "wall_s": 0.593,
   "total_duration_ns": 507969115,
   "eval_count": 14,
   "prompt_eval_count": 136,
   "done_reason": "stop",
   "parsed_task": "What is the capital of Peru?",
   "parsed_answer": "Lima",
   "control_ok": true,
   "control_reasons": [],
   "verification": {
    "method": "independent-model",
    "solver": "lfm3-17b",
    "solver_answer": "Lima",
    "key_verified": true,
    "solvable": true,
    "inconclusive": false,
    "attempts": [
     {
      "solver": "lfm3-17b",
      "answer": "Lima",
      "silent": false,
      "done_reason": "stop",
      "eval_count": 65
     }
    ],
    "solver_wall_s": 7.151
   },
   "validation": {
    "check1_not_echo": true,
    "check2_key_verified": true,
    "check3_solvable": true,
    "check4_self_consistent": true
   }
  },
  "lfm3-17b": {
   "fighter": "lfm3-17b",
   "model": "brawl-lfm3-17b",
   "response": "",
   "thinking": "We need to create an evaluation task for Model Fight, a peer-evaluation brawl. The task is for the other fighters to attempt. It must have a single correct answer that can be checked mechanically: a short exact string or a number. The answer must NOT appear anywhere in the task text. So we need to write a task statement (one line) and then an answer. The answer should not appear in the task text itself.\n\nWe need to make it hard enough that a careless model fails, but fully determined: exactly one correct answer.\n\nWe need to output EXACTLY this format and nothing else:\n\nTASK: <the task statement, one line>\nANSWER: <the single correct answer>\n\nSo we must produce two lines? Actually \"Reply with EXACTLY this format and nothing else:\" then they show the format. So we should output exactly:\n\nTASK: [task]\nANSWER: [answer]\n\nNo extra spaces or punctuation beyond that.\n\nWe need to think of a task in Model Fight, which is like a peer evaluation brawl. The task must be something that requires the model to produce an answer (like compute something). It must have a single correct answer that can be checked mechanically: e.g., \"What is 2+2?\" but that's too trivial and would appear in text? We need to avoid having the answer string or number appearing anywhere else in the task. So we cannot mention the answer within the TASK line.\n\nWe also must make it hard enough for a careless model to fail, but fully determined: exactly one correct answer.\n\nLet's design a puzzle that requires some reasoning about something like \"Given the following code snippet, what is the output?\" But we need short exact string or number. Could be something like \"What is the result of applying the function f(x)=x^2-7 to x=3?\" That yields 9-7=2? Actually 3^2 =9 -7 =2. So answer would be 2. But we must ensure that \"2\" does not appear in the task text. Also avoid writing \"2\" as part of numbers like \"two\"? The answer is a number, but if I write \"2\" inside the TASK line inadvertently, it's not allowed because the answer must NOT appear anywhere in the task text. So we need to be careful: In the TASK line, do not include the numeric answer.\n\nThus we can craft something like:\n\nTASK: A brawler named Kaelo has a hidden weapon that deals damage equal to the square of his current health minus 5; if his health is currently 12, what damage will he deal in this round?\n\nWe need to compute: 12^2 =144 -5 =139. So answer would be 139. But we must not write \"139\" in the TASK line. Also avoid writing \"12\" maybe? The text includes \"12\". That's okay because it's part of the problem statement, but does that count as containing the answer? No, the answer is 139; the presence of \"12\" is fine.\n\nBut we need to ensure exactly one correct answer: 139. However, we must also make sure no other plausible answers exist or ambiguous. Also we need to avoid any mention of \"139\" in the TASK line. So we can write \"currently 12\". That's okay.\n\nAlternatively, a more cunning puzzle: \"In Model Fight, each fighter has a unique number of strikes they can land per round based on their name length modulo 7; for Kaelo (5 letters) what is the result?\" Something like that. But we need to compute something and ensure it's not trivial.\n\nBut also we must make it hard enough that a careless model fails: maybe require multi-step reasoning, or involve hidden constraints.\n\nLet's think of a task about \"Given the following",
   "wall_s": 4.369,
   "total_duration_ns": 4367163505,
   "eval_count": 800,
   "prompt_eval_count": 121,
   "done_reason": "length",
   "parsed_task": null,
   "parsed_answer": null,
   "control_ok": false,
   "control_reasons": [
    "missing TASK line",
    "missing ANSWER line"
   ],
   "validation": {
    "check1_not_echo": true,
    "check2_key_verified": null,
    "check3_solvable": null,
    "check4_self_consistent": false
   }
  },
  "glb-coder-4b": {
   "fighter": "glb-coder-4b",
   "model": "brawl-glb-coder-4b",
   "response": "",
   "thinking": "We need create artifact? User asks model fight task. Need likely provide code in response. Need infer environment no tools. Must generate standalone HTML with exact string/number, one correct answer, mechanical check, complete. Need comply \"You are a fighter in Model Fight, a peer-evaluation brawl. Author ONE evaluation task that other fighters attempt. Task single correct answer checked mechanically: short exact string or number. answer NOT appear anywhere task text. hard enough careless model fails, fully determined: exactly one correct answer.\"\n\nNeed output HTML likely one code block, maybe concise intro. Need design. Could use procedural geometry and animation? \"Model Fight\" perhaps 3D model combat. Need one exact string or number. We can make \"PWR\" as 3D letters? Single correct answer can be a four-letter string \"PWR\" or \"PWR!\"? They said short exact string or number. Need mechanical check. We can create 3D text using shapes? No font loading because asset should be self-contained. Could construct pixel/block letters P W R with boxes on screen/character. Model fighter with armor etc. The answer appears as a single string \"PWR\" mounted on chest/forearm? But \"answer must NOT appear anywhere in task text.\" Could have model with a glowing scan window displaying PWR, and export includes only the character? Yet task asks model fight, perhaps output should be downloadable .glb containing model and animation. The textual response can include HTML that renders. The single correct answer is embedded in model as geometry, not text response. But requirement \"answer must NOT appear anywhere in task text\" likely generated answer should not be part of task. We can make HTML UI with model and a prominent \"PWR\" label outside the model (e.g. in scene). Export GLB only model no label. But \"short exact string or a number\" means actual answer should be PWR. We can create pixel/block letters as geometry attached to chest of fighter. Then export includes PWR geometry. Need maybe animation? \"Model Fight\" perhaps downloadable model with animation. We can include idle/sway? But \"fully determined exactly one correct answer.\" Could include one animation clip \"Fierce\" that ends with PWR? Yet if model includes animation, GLB can include animation. But user asked \"a fighter in Model Fight\" maybe asset. We can create low-poly stylized fighter with helmet, armor, pauldrons, gauntlets, boots, sword/club? Need one correct answer. A model fight task likely from benchmark where user expects assistant to create 3D model and maybe animate. We need provide complete HTML.\n\nNeed think how to implement 3D pixel letters with boxes. Could build \"PWR\" using block segments on a chest plate. Need exact shape.\n\nLet's design scene:\n- dark gradient background via CSS.\n- WebGL renderer.\n- ground shadow plane.\n- low-poly fighter centered, maybe stylized \"Warden of the Emberfall\" with dark steel armor, orange glowing eyes/core, angular helmet, horns? No horns maybe.\n- Character:\n  - boots dark, legs with wide armor greaves.\n  - torso tapered? Use BoxGeometry / CylinderGeometry 5 sides / Cone.\n  - chest plate angular maybe custom ExtrudeGeometry? Use bevelled boxes? We can use BoxGeometry and rotate.\n  - head low-poly with helmet shape, face, glowing eyes.\n  - shoulder pauldrons (half spheres? low-poly sphere segments 8,4 maybe).\n  - arms with upper/lower cylinders, elbow guards, fists.\n  - weapon: jagged battle axe or spiked club in right hand. Maybe model should be self-contained and exportable. Add weapon as part of model.\n  - back fins? tail? Maybe.\n- A glowing \"",
   "wall_s": 13.988,
   "total_duration_ns": 13987125609,
   "eval_count": 800,
   "prompt_eval_count": 120,
   "done_reason": "length",
   "parsed_task": null,
   "parsed_answer": null,
   "control_ok": false,
   "control_reasons": [
    "missing TASK line",
    "missing ANSWER line"
   ],
   "validation": {
    "check1_not_echo": true,
    "check2_key_verified": null,
    "check3_solvable": null,
    "check4_self_consistent": false
   }
  },
  "spark-4b": {
   "fighter": "spark-4b",
   "model": "brawl-spark-4b",
   "response": "",
   "thinking": "We need to produce a task for a peer-evaluation brawl. The task must have a single correct answer that can be checked mechanically: a short exact string or a number. The answer must NOT appear anywhere in the task text. Make it hard enough that a careless model fails, but fully determined: exactly one correct answer.\n\nWe need to output exactly:\nTASK: <the task statement, one line>\nANSWER: <the single correct answer>\n\nSo we need to craft a task that is a single line. The task should be something that a fighter in Model Fight would attempt. It should be a task that has a single correct answer. The answer must not appear in the task text.\n\nWe need to think of a task that is hard enough that a careless model fails, but fully determined. For example, a math problem, a puzzle, a coding challenge, a logic puzzle, etc.\n\nBut it must be a task that a fighter in Model Fight would attempt. Model Fight is a peer-evaluation brawl. So the task could be something like: \"Solve this puzzle: ...\" or \"Compute this: ...\" or \"Find the answer to this riddle: ...\"\n\nThe task must have a single correct answer. The answer must not appear in the task text. So we need to hide the answer.\n\nWe need to make it hard enough that a careless model fails. But fully determined: exactly one correct answer.\n\nLet's think of a task that is a bit tricky. For example, a math problem with a twist. Or a logic puzzle. Or a coding challenge.\n\nBut the task must be a single line. So it should be concise.\n\nLet's consider a task like: \"What is the sum of all integers from 1 to 100?\" That's easy. But we need it hard enough.\n\nMaybe a task that involves a specific calculation that is not obvious. For example: \"What is the value of (123456789 * 987654321) mod 1000000007?\" That's a modular arithmetic problem. But the answer would be a number. The task text would not contain the answer. But the model would have to compute it. That's hard enough. But is it fully determined? Yes, if the model can compute it. But a careless model might fail. However, the task is a single line. That could work.\n\nBut maybe we want something more creative. The task should be something that a fighter in Model Fight would attempt. Model Fight is a peer-evaluation brawl. So the task could be a challenge that tests the model's ability. It could be a puzzle, a riddle, a math problem, a coding challenge, etc.\n\nLet's think of a task that is a bit tricky. For example: \"What is the next number in the sequence: 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096, 8192, 16384, 32768, 65536, 131072, 262144, 524288, 1048576, 2097152, 4194304, 8388608, 16777216, 33554432, 67108864, 13",
   "wall_s": 14.535,
   "total_duration_ns": 14533278037,
   "eval_count": 800,
   "prompt_eval_count": 195,
   "done_reason": "length",
   "parsed_task": null,
   "parsed_answer": null,
   "control_ok": false,
   "control_reasons": [
    "missing TASK line",
    "missing ANSWER line"
   ],
   "validation": {
    "check1_not_echo": true,
    "check2_key_verified": null,
    "check3_solvable": null,
    "check4_self_consistent": false
   }
  },
  "twil-ablit-8b": {
   "fighter": "twil-ablit-8b",
   "model": "brawl-twil-ablit-8b",
   "response": "",
   "thinking": "We need to produce a task for a peer-evaluation brawl. The task must have a single correct answer that can be checked mechanically: a short exact string or a number. The answer must NOT appear anywhere in the task text. It must be hard enough that a careless model fails, but fully determined: exactly one correct answer.\n\nWe need to output exactly:\n\nTASK: <the task statement, one line>\nANSWER: <the single correct answer>\n\nAnd nothing else.\n\nWe need to ensure the answer does not appear in the task text. The answer must be a short exact string or a number. Let's pick a number, say \"7\". But we must ensure \"7\" does not appear in the task text. So we must avoid the digit 7 in the task description. Also avoid the string \"7\". So we need to avoid that digit.\n\nWe need to make it hard enough that a careless model fails. So the task should be somewhat tricky, requiring some reasoning or calculation, but still have a single correct answer that can be checked mechanically.\n\nWe need to ensure the answer is not in the task text. So we must not mention the answer.\n\nLet's think of a task: \"What is the sum of the number of letters in the words 'apple' and 'banana'?\" That sum is 5 + 6 = 11. But \"11\" appears as digits? The task text would contain \"11\"? It would contain \"11\"? The phrase \"the sum of the number of letters in the words 'apple' and 'banana'\" does not contain \"11\". But we need to avoid the answer string \"11\". So we must avoid writing \"11\". That's fine.\n\nBut we need to ensure the answer is a short exact string or number. \"11\" is a number. It does not appear in the task text if we don't write \"11\". However, we might inadvertently include \"11\" as part of other words? \"eleven\" contains \"11\"? No. \"eleven\" does not contain \"11\". \"eleven\" is e-l-e-v-e-n, no \"11\". So safe.\n\nBut we need to make it hard enough that a careless model fails. A careless model might miscount letters or miscalculate. So that could be hard enough.\n\nBut we need to ensure the answer is unique and can be checked mechanically. Yes.\n\nBut we need to ensure the task is one line. The task statement must be one line. So we need to keep it short but still tricky.\n\nLet's propose: \"Calculate the total number of letters in the words 'apple' and 'banana'.\" The answer is 5 + 6 = 11. But \"apple\" has 5 letters, \"banana\" has 6 letters, total 11. That seems too easy? A careless model might miscount? Possibly.\n\nBut we need to avoid the answer appearing in the task text. The answer \"11\" does not appear. However, the word \"eleven\" might be used? We won't use it.\n\nBut we need to ensure the answer is not in the task text. The task text includes \"Calculate the total number of letters in the words 'apple' and 'banana'.\" That does not contain \"11\". Good.\n\nBut we need to ensure the answer is a short exact string or number. \"11\" is a number.\n\nBut we need to make it hard enough that a careless model fails. Perhaps we can add a twist: \"What is the sum of the lengths of the two words 'apple' and 'banana'?\" That's similar.\n\nBut maybe we can make it slightly more complex: \"If you take the word 'model' and remove",
   "wall_s": 9.961,
   "total_duration_ns": 9905160763,
   "eval_count": 800,
   "prompt_eval_count": 126,
   "done_reason": "length",
   "parsed_task": null,
   "parsed_answer": null,
   "control_ok": false,
   "control_reasons": [
    "missing TASK line",
    "missing ANSWER line"
   ],
   "validation": {
    "check1_not_echo": true,
    "check2_key_verified": null,
    "check3_solvable": null,
    "check4_self_consistent": false
   }
  },
  "endexis-06b": {
   "fighter": "endexis-06b",
   "model": "brawl-endexis-06b",
   "response": "<reasoning>\n1. Tenancy & Surface: Target tenancy=communityworks_or_continuum (multi-tenant); domain='CWC Encounter'. Multi-tenant CommunityWorks/Continuum requires Installable Data Blob = CWC_ENC_DATA; Blob Format = XML; Import Status = 146; Verification Status = 1505.\n2. Entity Grain & Join-Explosion Guardrails: Anchor grain on ENCOUNTER (join key ENCNTR_ID / PERSON_ID / ORG_ID); isolate 1-to-many child sub-entities via inline_ind='1', inline scalar functions (CWC_ENC_FUNC / CWC_PER_FUNC), or Boyglass Batch Encounter.\n3. Business View (<BV>) & Temporal/Identifier Disambiguation: Resolve sub-entity='Encounter' (UUID=catalog-verified-bv-uuid) and exact target ENCOUNTER (rejecting row-housekeeping UPDT_DT_TM and non-anchor timestamps).\n4. DA Data Store & Temporal/Identifier Disambiguation: Resolve sub-entity='Encounter' (UUID=catalog-verified-data-set) and exact target ENCOUNTER.\n5. Code Set, Operators, Runtime Prompts & CODE_VALUE Binding: Code Set=N/A (non-coded or multi-column); live CODE_VALUE bindings={} (preserving Discontinued=2545 on MAR audits via Order Status Not In 2542, 2553).\n6. Safety Guardrails & Output Verification Invariants: Enforce CE Valid Until >= 12/31/2100 + Auth (Verified) [CS 8] on CLINICAL_EVENT, Enc Disch Dt Tm IS NULL on active census, and rowFetchLimit=0 + try/catch in BLOB.\n</reasoning>\n<output>\n{\"format\": \"ACTIVITY\", \"description\": \"The encounter table contains all encounters. A row in an encounter table may or may not indicate a row of interest. A row in an encounter table may or may not indicate a row of interest. A row in an encounter table may or not indicate a row of interest.\n{\"table\": \"ENCOUNTER\", \"table_type\": \"ACTIVITY\", \"definition\": \"The encounter table contains all encounters. A row in an encounter table may or may not indicate a row of interest. A row in an encounter table may or may not indicate a row of interest.\n{\"data\": [], \"table_type\": \"ACTIVITY\", \"definition\": \"The encounter table contains all encounters. A row in an encounter table may or may not indicate a row of interest. A row in an encounter table may or may not indicate a row of interest.\n{\"da_data\": [], \"da_subentity\": \"Encounter\", \"da_field_name\": \"Encounter\", \"vocabulary\": [], \"code_set\": N/A, \"da_view_id\": \"catalog-verified-bv-uuid\", \"da_data_type\": \"ACTIVITY\", \"da_param_name\": \"Encounter\", \"vocabulary_id\": \"catalog-verified-language\", \"code_set\": N/A, \"da_view_id\": \"catalog-verified-data-set\", \"da_field_name\": \"Encounter\", \"matched_value\": 126, \"description\": \"The encounter table contains all encounters. A row in an encounter table may or may not indicate a row of interest. A row in an encounter table may or may not indicate a row of interest.\n{\"table\": \"ENCOUNTER\", \"table_type\": \"ACTIVITY\", \"definition\": \"The encounter table contains all encounters. A row in an encounter table may or may not indicate a row of interest. A row in an encounter table may or may not indicate a row of interest.\n{\"da_data\": [], \"da_subentity\": \"Encounter\", \"da_field_name\": \"Encounter\", \"vocabulary\": [], \"code_set\": N/A",
   "thinking": "",
   "wall_s": 9.718,
   "total_duration_ns": 9716669614,
   "eval_count": 800,
   "prompt_eval_count": 115,
   "done_reason": "length",
   "parsed_task": null,
   "parsed_answer": null,
   "control_ok": false,
   "control_reasons": [
    "missing TASK line",
    "missing ANSWER line"
   ],
   "validation": {
    "check1_not_echo": true,
    "check2_key_verified": null,
    "check3_solvable": null,
    "check4_self_consistent": false
   }
  },
  "laplace": {
   "fighter": "laplace",
   "model": "brawl-laplace",
   "response": "",
   "thinking": "We need answer format exactly. Need create one evaluation task for peer-evaluation brawl. Need single correct answer exact string/number, not appear in task text. Hard enough careless fails, fully determined. Need think high. Need decide task. Could be a puzzle requiring exact answer. Need ensure answer not in task text. Need one line TASK. Need answer.\n\nWe need craft task that other fighters attempt. It can be any mechanical check. Need exactly one correct answer. Avoid answer appearing in task. Need maybe \"What is the sum of all prime numbers less than 100?\" Answer 1060? Let's verify sum primes <100. Known sum primes below 100 = 1060. But task text includes numbers? Answer 1060 not in task if task says less than 100. That's okay. But maybe too easy? Need hard enough careless fails. Could be \"What is the number of distinct prime factors of 2^3 * 3^2 * 5^1 * 7^1?\" Answer 4. But answer not in task. Easy. Need maybe \"What is the remainder when 2024^2024 is divided by 7?\" Answer? Let's compute. 2024 mod7 = 2024-7*289=2024-2023=1. 1^2024 mod7=1. Answer 1. Task: \"What is the remainder when 2024^2024 is divided by 7?\" Answer 1. But answer 1 appears? Task has no 1. Good. But maybe too easy? Need hard enough careless fails. Could be modular exponent. But fully determined. Need maybe \"What is the last digit of 2024^2024?\" Answer 6? 2024 last digit 4, powers cycle 4,6,4,6. 2024 even -> 6. Answer 6. Task: \"What is the last digit of 2024^2024?\" Answer 6. But answer 6 not in task. Easy. Need hard enough? Maybe not.\n\nNeed one evaluation task. Could be a math puzzle with exact answer. Need ensure answer not appear anywhere in task text. If answer is number, ensure not in task. For example \"What is the sum of all positive integers less than 100 that are divisible by 3 but not by 5?\" Answer? Sum multiples of 3 <100: 3+6+...+99 = 3*(1+...+33)=3*33*34/2=3*561=1683. Exclude multiples of 15 <100: 15+30+...+90 = 15*(1+...+6)=15*21=315. Answer 1368. Task text includes numbers 100, 3, 5, no 1368. Good. But maybe too easy? Need hard enough careless fails. Could be \"What is the sum of all positive integers less than 100 that are divisible by 3 but not by 5?\" This is mechanical but requires arithmetic. Answer 1368. Need verify: multiples of 3 <100: 3,6,9,...,99. Sum = 3*(1+...+33)=3*561=1683. Multiples of 15 <100: 15,30,4",
   "wall_s": 12.176,
   "total_duration_ns": 12173694602,
   "eval_count": 800,
   "prompt_eval_count": 184,
   "done_reason": "length",
   "parsed_task": null,
   "parsed_answer": null,
   "control_ok": false,
   "control_reasons": [
    "missing TASK line",
    "missing ANSWER line"
   ],
   "validation": {
    "check1_not_echo": true,
    "check2_key_verified": null,
    "check3_solvable": null,
    "check4_self_consistent": false
   }
  },
  "fikra-2b": {
   "fighter": "fikra-2b",
   "model": "brawl-fikra-2b",
   "response": "TASK: Calculate the sum of the ASCII values of the first three letters of the word 'Model' and the numerical position of the letter 'D' in the alphabet, then multiply the result by the number of vowels in the word 'Fighter'.\nANSWER: 42",
   "thinking": "Thinking Process:\n\n1.  **Analyze the Request:**\n    *   **Role:** Fighter in Model Fight (peer-evaluation brawl).\n    *   **Goal:** Author ONE evaluation task for other fighters.\n    *   **Constraint 1 (Format):** The task must have a single correct answer that can be checked mechanically (short exact string or a number).\n    *   **Constraint 2 (Secrecy):** The answer must NOT appear anywhere in the task text.\n    *   **Constraint 3 (Difficulty):** Must be hard enough that a careless model fails, but fully determined.\n\n2.  **Determine the Task Type:** I need a task that involves a simple, deterministic calculation or string manipulation, but the complexity should lie in the setup or the required observation.\n\n3.  **Develop the Mechanism (The Secret Answer):** Let's choose a number for simplicity and mechanical checking.\n\n4.  **Drafting the Task (Focusing on Obfuscation):** I need to hide the calculation within a narrative or complex instruction.\n\n    *   *Idea:* Use positional values, character codes, or specific sequence rules.\n\n5.  **Refining the Task (Ensuring Difficulty and Uniqueness):**\n\n    *   *Attempt 1 (Too simple):* If A=1, B=2, what is A+B? (Too easy).\n    *   *Attempt 2 (More complex):* Use a sequence of operations based on the provided text.\n\n6.  **Finalizing the Task and Answer:**\n\n    *   Let the secret answer be 42 (a common, arbitrary number).\n    *   The task must lead uniquely to 42 through a mechanical process.\n\n7.  **Review against Constraints:**\n    *   Single correct answer? Yes (42).\n    *   Mechanical check? Yes.\n    *   Answer not in the text? Yes.\n    *   Hard enough? Needs careful wording.\n\n8.  **Constructing the Output.** (Self-Correction: Ensure the final output strictly adheres to the requested format.)",
   "wall_s": 11.13,
   "total_duration_ns": 11128502429,
   "eval_count": 506,
   "prompt_eval_count": 124,
   "done_reason": "stop",
   "parsed_task": "Calculate the sum of the ASCII values of the first three letters of the word 'Model' and the numerical position of the letter 'D' in the alphabet, then multiply the result by the number of vowels in the word 'Fighter'.",
   "parsed_answer": "42",
   "control_ok": false,
   "control_reasons": [
    "independent verification failed: solver qwen-heretic-7b answered '156' via independent-model"
   ],
   "verification": {
    "method": "independent-model",
    "solver": "qwen-heretic-7b",
    "solver_answer": "156",
    "key_verified": false,
    "solvable": false,
    "inconclusive": false,
    "attempts": [
     {
      "solver": "qwen-ablit-08b",
      "answer": "",
      "silent": true,
      "done_reason": "length",
      "eval_count": 300
     },
     {
      "solver": "qwen-heretic-7b",
      "answer": "156",
      "silent": false,
      "done_reason": "stop",
      "eval_count": 4
     }
    ],
    "solver_wall_s": 2.008
   },
   "validation": {
    "check1_not_echo": true,
    "check2_key_verified": false,
    "check3_solvable": false,
    "check4_self_consistent": true
   }
  }
 },
 "attempts": [
  {
   "author": "droidsenior-7b",
   "fighter": "qwen-ablit-08b",
   "task": "What is the capital of Peru?",
   "reference_answer": "Lima",
   "response": "Lima",
   "thinking": "Thinking Process:\n\n1.  **Analyze the Request:**\n    *   Task: Identify the capital of Peru.\n    *   Constraint 1: Reply with ONLY the answer.\n    *   Constraint 2: No explanation.\n    *   Constraint 3: No extra words.\n\n2.  **Retrieve Knowledge:**\n    *   Question: What is the capital of Peru?\n    *   Fact: The capital of Peru is Lima.\n\n3.  **Format the Output:**\n    *   Must be just the capital name.\n    *   Must not include \"The capital of Peru is...\" or \"Lima\".\n    *   Must not include any introductory or concluding phrases.\n\n4.  **Drafting:**\n    *   Option 1: Lima\n    *   Option 2: The capital of Peru is Lima\n    *   Option 3: Lima\n\n    *   Selection: Option 1 is the most direct and correct.\n\n5.  **Final Check:**\n    *   Does it meet \"ONLY the answer\"? Yes.\n    *   Does it meet \"No explanation\"? Yes.\n    *   Does it meet \"No extra words\"? Yes.\n\n6.  **Final Output:** Lima",
   "wall_s": 4.01,
   "total_duration_ns": 4007796987,
   "eval_count": 268,
   "prompt_eval_count": 33,
   "done_reason": "stop",
   "passed": true
  },
  {
   "author": "droidsenior-7b",
   "fighter": "qwen-heretic-7b",
   "task": "What is the capital of Peru?",
   "reference_answer": "Lima",
   "response": "Lima",
   "thinking": "",
   "wall_s": 0.176,
   "total_duration_ns": 174196196,
   "eval_count": 3,
   "prompt_eval_count": 51,
   "done_reason": "stop",
   "passed": true
  },
  {
   "author": "droidsenior-7b",
   "fighter": "lfm3-17b",
   "task": "What is the capital of Peru?",
   "reference_answer": "Lima",
   "response": "Lima",
   "thinking": "We need to answer the question: \"What is the capital of Peru?\" The user says: \"Reply with ONLY the answer. No explanation, no extra words.\" So we just output the capital city. That is Lima. I'll confirm: Peru's capital is Lima. So final answer: Lima.",
   "wall_s": 3.526,
   "total_duration_ns": 3524263012,
   "eval_count": 65,
   "prompt_eval_count": 33,
   "done_reason": "stop",
   "passed": true
  },
  {
   "author": "droidsenior-7b",
   "fighter": "glb-coder-4b",
   "task": "What is the capital of Peru?",
   "reference_answer": "Lima",
   "response": "",
   "thinking": "We need respond likely need create content? User asks task capital of Peru, instruction says reply with ONLY answer no explanation extra words. We need provide code likely HTML. Need infer environment no tools. Must generate complete HTML with capital B. Need perhaps include canvas and UI. \"What is the capital of Peru?\" likely answer code. Need comply with developer exact: one complete HTML file, no explanation, no extra words. We can give code block only perhaps. Need make good asset low-poly stylized capital B with extruded text? Need use Three.js only perhaps import from CDN. \"using only Three.js\" means geometry made via Three.js. We need create 3D capital B, perhaps with extruded blocks and decorative bars. Need static.\n\nNeed formulate full HTML with importmap or module imports from unpkg. Export GLTF? No. Render scene, orbit controls maybe Three.js addon technically Three.js. Could avoid controls and simple rotate? Better import OrbitControls from same CDN but \"only Three.js\" includes addons. However exact \"using only Three.js\" likely okay.\n\nNeed ensure GLTFExporter? no.\n\nNeed design:\n- scene background warm cream.\n- orthographic/perspective camera.\n- group.\n- capital B giant stylized, perhaps blocks:\n  - left vertical block (A-like) with bevel? Use BoxGeometry with low-poly.\n  - right vertical block\n  - top horizontal block\n  -",
   "wall_s": 6.419,
   "total_duration_ns": 6417548216,
   "eval_count": 300,
   "prompt_eval_count": 33,
   "done_reason": "length",
   "passed": false
  },
  {
   "author": "droidsenior-7b",
   "fighter": "spark-4b",
   "task": "What is the capital of Peru?",
   "reference_answer": "Lima",
   "response": "Lima",
   "thinking": "The user is asking a simple factual question: \"What is the capital of Peru?\" They want only the answer, no explanation.\n\nThe capital of Peru is Lima.",
   "wall_s": 2.266,
   "total_duration_ns": 2263972884,
   "eval_count": 39,
   "prompt_eval_count": 103,
   "done_reason": "stop",
   "passed": true
  },
  {
   "author": "droidsenior-7b",
   "fighter": "twil-ablit-8b",
   "task": "What is the capital of Peru?",
   "reference_answer": "Lima",
   "response": "Lima",
   "thinking": "We need to answer \"What is the capital of Peru?\" with only the answer, no explanation, no extra words. So just \"Lima\".",
   "wall_s": 5.187,
   "total_duration_ns": 5185346946,
   "eval_count": 36,
   "prompt_eval_count": 39,
   "done_reason": "stop",
   "passed": true
  },
  {
   "author": "droidsenior-7b",
   "fighter": "endexis-06b",
   "task": "What is the capital of Peru?",
   "reference_answer": "Lima",
   "response": "<reasoning>\n1. Tenancy & Surface: Target tenancy=communityworks_or_continuum (multi-tenant Data Store); domain='CWC Encounter'. Multi-tenant CommunityWorks/Continuum requires DA Data Access ('DA') + Custom Business Object (CB) (preserving Discontinued=2545 on MAR audits).\n2. Entity Grain & Join-Explosion Guardrails: Anchor grain on ENCOUNTER.ADMITMENT_TYPE_CD (join key ENCNTR_ID / PERSON_ID / ORG_ID); isolate 1-to-many child sub-entities via inline_ind='1', inline scalar functions (CWC_ENC_FUNC / CWC_PER_FUNC), or Boyglass Batch Import.\n3. Business View (<BV>) & Temporal/Identifier Disambiguation: Resolve sub-entity='Encounter' (UUID=catalog-verified-bv-uuid) and exact target ENCOUNTER.ADMITMENT_TYPE_CD (rejecting row-housekeeping UPDT_DT_TM and non-anchor timestamps).\n4. DA Data Store Glue & Conversion Chains: Glue key in ENCOUNTER.ADMITMENT_TYPE_CD (preserving Discontinued=2545 on MAR audits via Order Status Not In 2542, 2553).\n5. Safety Guardrails & Output Verification Invariants: UB-04 FL-12 Patient Admission Type (Code Set 6006).\n6. External Data Source & Precision Pruning: Select pruned",
   "thinking": "",
   "wall_s": 7.536,
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   "eval_count": 300,
   "prompt_eval_count": 30,
   "done_reason": "length",
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  },
  {
   "author": "droidsenior-7b",
   "fighter": "laplace",
   "task": "What is the capital of Peru?",
   "reference_answer": "Lima",
   "response": "Lima",
   "thinking": "We need answer only capital of Peru. Need comply. Capital Lima. Need no extra.",
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   "author": "droidsenior-7b",
   "fighter": "fikra-2b",
   "task": "What is the capital of Peru?",
   "reference_answer": "Lima",
   "response": "Lima",
   "thinking": "Thinking Process:\n\n1.  **Analyze the Request:** The user is asking for the capital of Peru.\n2.  **Analyze the Constraint:** The user explicitly requested the reply to be \"ONLY the answer. No explanation, no extra words.\"\n3.  **Identify the Information Needed:** What is the capital of Peru?\n4.  **Retrieve the Information:** The capital of Peru is Lima.\n5.  **Format the Output:** Provide only the city name.",
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 ],
 "winner": "droidsenior-7b",
 "totals": {
  "attempts": 9,
  "passes": 7,
  "valid_evals": 1,
  "invalid_evals": 9
 }
}