ONNX
GGUF
counter-strike
cs2
cheat-detection
imatrix
conversational
MagicNoThief commited on
Commit
b0cb267
·
verified ·
1 Parent(s): 7facc6a

Judge v4: fast kills counted; detector reference to match

Browse files
.gitattributes CHANGED
@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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  judge/judge-v3.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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  judge/judge-v3.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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+ judge/judge-v4.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -22,7 +22,7 @@ to fetch them by hand.
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  |---|---|
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  | `detector/scorer.onnx` | a 1D CNN that scores each kill's aim trajectory (136 KB) |
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  | `detector/scorer.json` | its architecture and the frozen clean-player reference a score is read against |
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- | `judge/judge-v3.Q4_K_M.gguf` | Qwen3.5-4B fine-tuned (QLoRA) to write a verdict from the evidence, Q4_K_M |
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  ## What they are for
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@@ -37,11 +37,13 @@ kills in the training data; it is evidence to examine, not proof.
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  per-player ROC-AUC 0.93 in match-grouped cross-validation. Line of sight comes
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  from ray casts against each map's collision mesh, not the game's spotting flag,
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  which is biased against snipers.
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- - **Judge (v3):** fine-tuned on generated verdicts whose targets depend only on
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  evidence shown in the text (never on the ban label), with clean players' 95th
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- and 99th percentiles printed beside every measurement. On held-out cases it
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- matches its targets 87% of the time, accuses 1.9% of clean players, and cited
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- no number absent from the evidence in 206 answers.
 
 
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  ## Credits and licences
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  |---|---|
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  | `detector/scorer.onnx` | a 1D CNN that scores each kill's aim trajectory (136 KB) |
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  | `detector/scorer.json` | its architecture and the frozen clean-player reference a score is read against |
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+ | `judge/judge-v4.Q4_K_M.gguf` | Qwen3.5-4B fine-tuned (QLoRA) to write a verdict from the evidence, Q4_K_M |
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  ## What they are for
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  per-player ROC-AUC 0.93 in match-grouped cross-validation. Line of sight comes
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  from ray casts against each map's collision mesh, not the game's spotting flag,
39
  which is biased against snipers.
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+ - **Judge (v4):** fine-tuned on generated verdicts whose targets depend only on
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  evidence shown in the text (never on the ban label), with clean players' 95th
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+ and 99th percentiles printed beside every measurement. On 206 held-out cases it
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+ matches its targets 92% of the time, convicts 29% of banned players, accuses
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+ 2.8% of clean-labelled ones (each where the evidence itself is past the clean
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+ 99th percentile), and cites no number absent from the evidence. On 341 pro
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+ players from 35 HLTV matches it accused none.
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  ## Credits and licences
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detector/scorer.json CHANGED
@@ -133,7 +133,7 @@
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  "corrections_mean": 1.4285714285714286,
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  "wall_aim_share": 0.12626262626262627,
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  "visible_share": 0.8205128205128205,
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- "reaction_ms_min": 250.0,
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  "angle_at_first_visible_median": 3.9900760650634766,
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  "snap_max": 63.369140625,
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  "zero_motion_share": 0.31338862559241704,
@@ -157,9 +157,9 @@
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  0.38680926916221037,
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  0.06666666666666667
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  ],
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- "reaction_ms_min": [
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- 15.625,
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- 0.0
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  ],
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  "angle_at_first_visible_median": [
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  1.6944282054901123,
 
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  "corrections_mean": 1.4285714285714286,
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  "wall_aim_share": 0.12626262626262627,
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  "visible_share": 0.8205128205128205,
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+ "fast_kills": 0.0,
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  "angle_at_first_visible_median": 3.9900760650634766,
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  "snap_max": 63.369140625,
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  "zero_motion_share": 0.31338862559241704,
 
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  0.38680926916221037,
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  0.06666666666666667
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  ],
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+ "fast_kills": [
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+ 1.0,
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+ 3.0
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  ],
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  "angle_at_first_visible_median": [
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  1.6944282054901123,
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