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  1. README.md +4 -4
  2. index.html +46 -19
README.md CHANGED
@@ -9,16 +9,16 @@ sdk_version: 2.0.0
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  short_description: Every tiny LM, same eval harness, transparent benchmarks
10
  ---
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- A community leaderboard for sub-100M parameter language models. Includes CompactAI-O models, SupraLabs, and any other tiny LM with verifiable benchmarks.
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  Data is pull-request driven. Open an issue or PR to add your model.
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  ## Methodology
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- All benchmarks use the CompactAI eval suite (sliding-window log-prob scoring). Methodology and reproduction scripts are linked from each model card.
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  ## Links
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- - [CompactAI-O on HF](https://huggingface.co/CompactAI-O)
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  - [lh-tech.de comparison](https://lh-tech.de/ai/compare-tiny-models.html) — independent community page
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- - [Submit a model](https://huggingface.co/spaces/CompactAI-O/Tiny-LM-Leaderboard/discussions)
 
9
  short_description: Every tiny LM, same eval harness, transparent benchmarks
10
  ---
11
 
12
+ A community leaderboard for sub-100M parameter language models. Includes Glint Research models, SupraLabs, and any other tiny LM with verifiable benchmarks.
13
 
14
  Data is pull-request driven. Open an issue or PR to add your model.
15
 
16
  ## Methodology
17
 
18
+ All benchmarks use the Glint Research eval suite (sliding-window log-prob scoring). Methodology and reproduction scripts are linked from each model card.
19
 
20
  ## Links
21
 
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+ - [Glint Research on HF](https://huggingface.co/Glint-Research)
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  - [lh-tech.de comparison](https://lh-tech.de/ai/compare-tiny-models.html) — independent community page
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+ - [Submit a model](https://huggingface.co/spaces/Glint-Research/Tiny-LM-Leaderboard/discussions)
index.html CHANGED
@@ -26,7 +26,7 @@
26
  --radius-sm: 8px;
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  --radius-xs: 6px;
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  --transition: 0.2s cubic-bezier(0.4, 0, 0.2, 1);
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- --compactai: #3fb950;
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  --supralabs: #58a6ff;
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  --axiomiclabs: #c2b6ff;
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  --mihaipopa: #93c6aa;
@@ -456,7 +456,7 @@ footer a:hover { text-decoration: underline; }
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  <div>
457
  <strong>Why this exists.</strong> The community deserves a single place to compare tiny LMs fairly.
458
  We include every model with verifiable benchmarks — ours, our competitors', yours.
459
- <a href="https://huggingface.co/spaces/CompactAI-O/Tiny-ML-Leaderboard/discussions" target="_blank">Submit a model via PR.</a>
460
  </div>
461
  </div>
462
  <div class="info-banner anim d2 clickable" id="unknown-banner" onclick="toggleUnknownBanner()">
@@ -584,7 +584,7 @@ footer a:hover { text-decoration: underline; }
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  </div>
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  </div>
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  <footer>
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- Tiny-ML Leaderboard by <a href="https://huggingface.co/CompactAI-O">Glint Research</a>.
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  Not affiliated with SupraLabs or LH-Tech-AI.
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  All benchmark data is self-reported by model authors unless otherwise noted.
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  </footer>
@@ -607,7 +607,7 @@ const models = [
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  },
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  {
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  name: "Glint-0.1",
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- org: "compactai",
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  params: "1M",
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  blimp: 46.7,
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  arc: 21,
@@ -615,7 +615,7 @@ const models = [
615
  tokens: "~100M",
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  releaseDate: "2026-03-09",
617
  links: {
618
- card: "https://huggingface.co/CompactAI-O/Glint-0.1"
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  }
620
  },
621
  {
@@ -633,7 +633,7 @@ const models = [
633
  },
634
  {
635
  name: "Glint-0.2",
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- org: "compactai",
637
  params: "1M",
638
  blimp: 49.8,
639
  arc: 27,
@@ -641,12 +641,12 @@ const models = [
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  tokens: "~100M",
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  releaseDate: "2026-03-22",
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  links: {
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- card: "https://huggingface.co/CompactAI-O/Glint-0.2"
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  }
646
  },
647
  {
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  name: "Glint-0.3",
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- org: "compactai",
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  params: "1M",
651
  blimp: 47.3,
652
  arc: 25.5,
@@ -654,7 +654,7 @@ const models = [
654
  tokens: "~100M",
655
  releaseDate: "2026-04-04",
656
  links: {
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- card: "https://huggingface.co/CompactAI-O/Glint-0.3"
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  }
659
  },
660
  {
@@ -672,7 +672,7 @@ const models = [
672
  },
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  {
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  name: "Glint-0.4",
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- org: "compactai",
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  params: "1M",
677
  blimp: 58.5,
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  arc: 31,
@@ -680,7 +680,7 @@ const models = [
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  tokens: "10B",
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  releaseDate: "2026-04-19",
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  links: {
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- card: "https://huggingface.co/CompactAI-O/Glint-0.4"
684
  }
685
  },
686
  {
@@ -724,7 +724,7 @@ const models = [
724
  },
725
  {
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  name: "Glint-1",
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- org: "compactai",
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  params: "1M",
729
  blimp: 61.2,
730
  arc: 32,
@@ -732,7 +732,7 @@ const models = [
732
  tokens: "100B",
733
  releaseDate: "2026-05-02",
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  links: {
735
- card: "https://huggingface.co/CompactAI-O/Glint-1"
736
  }
737
  },
738
  {
@@ -881,7 +881,7 @@ const models = [
881
  },
882
  {
883
  name: "Glint-1.3 (merged)",
884
- org: "compactai",
885
  params: "982K",
886
  blimp: 68.7,
887
  arc: 32.5,
@@ -889,7 +889,7 @@ const models = [
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  tokens: "100B",
890
  releaseDate: "2026-05-13",
891
  links: {
892
- card: "https://huggingface.co/CompactAI-O/Glint-1.3"
893
  }
894
  },
895
  {
@@ -1106,7 +1106,7 @@ const models = [
1106
  },
1107
  {
1108
  name: "Glimmer 1",
1109
- org: "compactai",
1110
  params: "11.9K",
1111
  blimp: 52.43,
1112
  arc: 25.46,
@@ -1157,11 +1157,38 @@ const models = [
1157
  card: "https://huggingface.co/Quazim0t0/Byrne-86M",
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  base: "https://huggingface.co/Quazim0t0/Byrne-86M-Base"
1159
  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1160
  }
1161
  ];
1162
 
1163
  const orgNameMap = {
1164
- compactai: 'Glint Research',
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  supralabs: 'SupraLabs',
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  axiomiclabs: 'Axiomic Labs',
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  mihaipopa: 'Mihai Popa',
@@ -1195,7 +1222,7 @@ const orgNameMap = {
1195
  };
1196
 
1197
  const colorMap = {
1198
- compactai: '#3fb950',
1199
  supralabs: '#58a6ff',
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  axiomiclabs: '#c2b6ff',
1201
  mihaipopa: '#93c6aa',
@@ -2037,7 +2064,7 @@ document.getElementById('modalAgreeBtn').addEventListener('click', function() {
2037
  document.getElementById('submitBtn').innerHTML = agreementText;
2038
  document.getElementById('submitBtn').onclick = null;
2039
  setTimeout(function() {
2040
- window.open('https://huggingface.co/spaces/CompactAI-O/Tiny-ML-Leaderboard/discussions', '_blank');
2041
  }, 1500);
2042
  });
2043
  document.getElementById('modalCancelBtn').addEventListener('click', closeModal);
 
26
  --radius-sm: 8px;
27
  --radius-xs: 6px;
28
  --transition: 0.2s cubic-bezier(0.4, 0, 0.2, 1);
29
+ --glintresearch: #3fb950;
30
  --supralabs: #58a6ff;
31
  --axiomiclabs: #c2b6ff;
32
  --mihaipopa: #93c6aa;
 
456
  <div>
457
  <strong>Why this exists.</strong> The community deserves a single place to compare tiny LMs fairly.
458
  We include every model with verifiable benchmarks — ours, our competitors', yours.
459
+ <a href="https://huggingface.co/spaces/Glint-Research/Tiny-ML-Leaderboard/discussions" target="_blank">Submit a model via PR.</a>
460
  </div>
461
  </div>
462
  <div class="info-banner anim d2 clickable" id="unknown-banner" onclick="toggleUnknownBanner()">
 
584
  </div>
585
  </div>
586
  <footer>
587
+ Tiny-ML Leaderboard by <a href="https://huggingface.co/Glint-Research">Glint Research</a>.
588
  Not affiliated with SupraLabs or LH-Tech-AI.
589
  All benchmark data is self-reported by model authors unless otherwise noted.
590
  </footer>
 
607
  },
608
  {
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  name: "Glint-0.1",
610
+ org: "glintresearch",
611
  params: "1M",
612
  blimp: 46.7,
613
  arc: 21,
 
615
  tokens: "~100M",
616
  releaseDate: "2026-03-09",
617
  links: {
618
+ card: "https://huggingface.co/Glint-Research/Glint-0.1"
619
  }
620
  },
621
  {
 
633
  },
634
  {
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  name: "Glint-0.2",
636
+ org: "glintresearch",
637
  params: "1M",
638
  blimp: 49.8,
639
  arc: 27,
 
641
  tokens: "~100M",
642
  releaseDate: "2026-03-22",
643
  links: {
644
+ card: "https://huggingface.co/Glint-Research/Glint-0.2"
645
  }
646
  },
647
  {
648
  name: "Glint-0.3",
649
+ org: "glintresearch",
650
  params: "1M",
651
  blimp: 47.3,
652
  arc: 25.5,
 
654
  tokens: "~100M",
655
  releaseDate: "2026-04-04",
656
  links: {
657
+ card: "https://huggingface.co/Glint-Research/Glint-0.3"
658
  }
659
  },
660
  {
 
672
  },
673
  {
674
  name: "Glint-0.4",
675
+ org: "glintresearch",
676
  params: "1M",
677
  blimp: 58.5,
678
  arc: 31,
 
680
  tokens: "10B",
681
  releaseDate: "2026-04-19",
682
  links: {
683
+ card: "https://huggingface.co/Glint-Research/Glint-0.4"
684
  }
685
  },
686
  {
 
724
  },
725
  {
726
  name: "Glint-1",
727
+ org: "glintresearch",
728
  params: "1M",
729
  blimp: 61.2,
730
  arc: 32,
 
732
  tokens: "100B",
733
  releaseDate: "2026-05-02",
734
  links: {
735
+ card: "https://huggingface.co/Glint-Research/Glint-1"
736
  }
737
  },
738
  {
 
881
  },
882
  {
883
  name: "Glint-1.3 (merged)",
884
+ org: "glintresearch",
885
  params: "982K",
886
  blimp: 68.7,
887
  arc: 32.5,
 
889
  tokens: "100B",
890
  releaseDate: "2026-05-13",
891
  links: {
892
+ card: "https://huggingface.co/Glint-Research/Glint-1.3"
893
  }
894
  },
895
  {
 
1106
  },
1107
  {
1108
  name: "Glimmer 1",
1109
+ org: "glintresearch",
1110
  params: "11.9K",
1111
  blimp: 52.43,
1112
  arc: 25.46,
 
1157
  card: "https://huggingface.co/Quazim0t0/Byrne-86M",
1158
  base: "https://huggingface.co/Quazim0t0/Byrne-86M-Base"
1159
  }
1160
+ },
1161
+ {
1162
+ name: "Blink-1-Base",
1163
+ org: "glintresearch",
1164
+ params: "1.09K",
1165
+ blimp: 52.84,
1166
+ arc: 26.60,
1167
+ wiki: 71.35,
1168
+ tokens: "100B",
1169
+ releaseDate: "2026-06-21",
1170
+ links: {
1171
+ card: "https://huggingface.co/Glint-Research/Blink-1-Base"
1172
+ }
1173
+ },
1174
+ {
1175
+ name: "Blink-1-Instruct",
1176
+ org: "glintresearch",
1177
+ params: "1.09K",
1178
+ blimp: 52.46,
1179
+ arc: 26.80,
1180
+ wiki: 70.44,
1181
+ tokens: "100B",
1182
+ releaseDate: "2026-06-21",
1183
+ links: {
1184
+ card: "https://huggingface.co/Glint-Research/Blink-1-Base",
1185
+ base: "https://huggingface.co/Glint-Research/Blink-1-Base"
1186
+ }
1187
  }
1188
  ];
1189
 
1190
  const orgNameMap = {
1191
+ glintresearch: 'Glint Research',
1192
  supralabs: 'SupraLabs',
1193
  axiomiclabs: 'Axiomic Labs',
1194
  mihaipopa: 'Mihai Popa',
 
1222
  };
1223
 
1224
  const colorMap = {
1225
+ glintresearch: '#3fb950',
1226
  supralabs: '#58a6ff',
1227
  axiomiclabs: '#c2b6ff',
1228
  mihaipopa: '#93c6aa',
 
2064
  document.getElementById('submitBtn').innerHTML = agreementText;
2065
  document.getElementById('submitBtn').onclick = null;
2066
  setTimeout(function() {
2067
+ window.open('https://huggingface.co/spaces/Glint-Research/Tiny-ML-Leaderboard/discussions', '_blank');
2068
  }, 1500);
2069
  });
2070
  document.getElementById('modalCancelBtn').addEventListener('click', closeModal);