Add peacebell-v1-148M (locally benchmarked, Base Bench 1.1 Elo 902) (#8)

- Add peacebell-v1-148M (locally benchmarked, Base Bench 1.1 Elo 902) (ba3595ca45b093633032500a593a7a535450e41e)


Co-authored-by: Wayne Workman <wayneworkman2012@users.noreply.huggingface.co>

matched-models.js

@@ -63,6 +63,7 @@ const MATCHED_ROWS = [
   ['NanoDex-1M','dedeprogames',1062272,'DedeProGames/NanoDex-1M',29.17,27.01,53.48,26.50,827,892,850,828,774,795,939,729],
   ['BananaMind-Sundae','bananamindresearch',20156544,'bananamind-research-community/BananaMind-Sundae',33.92,26.08,54.46,34.20,891,1167,789,874,928,785,920,831],
   ['BackKiyo-10M','dedebckp',9976832,'DedeBckp/BackKiyo-10M',35.40,28.08,55.66,35.10,924,1070,860,920,815,940,973,924],
+  ['peacebell-v1-148M','wayneworkman',148553302,'wayneworkman2012/peacebell-v1-148M',27.27,26.16,47.61,27.10,902,1035,826,929,954,774,891,924],
 ];
 
 const ORGANIZATION_ROWS = [
@@ -77,6 +78,7 @@ const ORGANIZATION_ROWS = [
   ['ucr','Universal Computing Research','UniversalComputingResearch','#87bde1'],['allura','Allura','allura-org','#d8aaf3'],
   ['codesoft','CodeSoft','CodeSoft','#c09d80'],['dalab','DALab Community','DALabCommunity','#91c49c'],
   ['dedeprogames','DedeProGames','DedeProGames','#fa9696'],['sz14','sz14','sz14','#83b7a6'],
+  ['wayneworkman','Wayne Workman','wayneworkman2012','#14b8a6'],
 ];
 for (const [id,name,repo,color] of ORGANIZATION_ROWS) {
   ORGS[id] = {name, logo:null, chartColor:color, chartBorder:color, url:`https://huggingface.co/${repo}`};
@@ -100,6 +102,7 @@ const LOCAL_RUNS = {
   'LowOnMind-5M':localRun(113,512), 'LowOnMind-1M':localRun(100,512),
   'LowOnMind-300k':localRun(93,512), 'NanoDex-Test-500K-200M':localRun(88,512),
   'NanoDex-1M':localRun(98,512), 'BananaMind-Sundae':localRun(134,1024), 'BackKiyo-10M':localRun(144,4096),
+  'peacebell-v1-148M':{contextWindow:16384, provenance:'Local official complete run · 2026-09-19 · 131 / 350 correct (bfloat16; float32 gives 127 / 350, Elo 893). ARC Easy, HellaSwag and PIQA: lm-eval 0.4.13 zero-shot acc_norm (float32). Arithmark 3: official script acc_norm (bfloat16). Domain-specific model: trained from scratch on World War II text only.'},
 };
 const RECOMMENDED_MODELS = new Set(['BananaMind-2-Pro','BananaMind-2-Medium','BananaMind-2-Mini',
   'SmolLM2-135M','SmolLM-135M','GPT-X2.5-135M','GPT-X2-125M','GPT-2','Kiyo-135M','Kiyo-65M',