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script.js
CHANGED
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@@ -125,6 +125,12 @@ const ORGS = {
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chartBorder: "#22c55e",
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url: "https://huggingface.co/DedeProGames",
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},
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};
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const MODELS = [
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@@ -278,6 +284,57 @@ const MODELS = [
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code: 1052,
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links: { card: "https://huggingface.co/openai-community/gpt2" },
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},
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{
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name: "Archaea-74M-V1.1",
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org: "godelev",
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@@ -1013,6 +1070,18 @@ const TRAINING_TOKEN_METADATA = {
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source: "https://huggingface.co/AxiomicLabs/GPT-X2.5-135M",
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evidence: "Model card: Tokens 75B",
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},
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"SmolLM2-135M": {
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tokens: 2_000_000_000_000,
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display: "2T",
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chartBorder: "#22c55e",
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url: "https://huggingface.co/DedeProGames",
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},
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opencerebral: {
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name: "OpenCerebral",
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chartColor: "rgba(14, 165, 233, 0.70)",
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chartBorder: "#0ea5e9",
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url: "https://huggingface.co/opencerebral",
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},
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};
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const MODELS = [
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code: 1052,
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links: { card: "https://huggingface.co/openai-community/gpt2" },
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},
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{
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name: "Boris-250M",
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org: "opencerebral",
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params: 250_414_848,
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paramsDisplay: "250.4M",
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overall: 979,
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accuracy: 50.29,
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language: 1402,
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commonsense: 1072,
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knowledge: 997,
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context: 764,
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quantitative: 815,
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logic: 1031,
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code: 957,
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links: { card: "https://huggingface.co/opencerebral/Boris-250M" },
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},
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{
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name: "Boris-1.3-125M",
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org: "opencerebral",
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params: 124_475_904,
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paramsDisplay: "124.5M",
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overall: 962,
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accuracy: 49.14,
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language: 1468,
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commonsense: 951,
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knowledge: 1040,
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context: 840,
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quantitative: 837,
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logic: 1012,
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code: 834,
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excluded_token_comparison: 1,
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token_comparison_exclusion_reason:
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"model card has conflicting total-token figures",
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links: { card: "https://huggingface.co/opencerebral/Boris-1.3-125M" },
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},
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{
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name: "Boris-1.3-75M",
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org: "opencerebral",
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params: 77_431_680,
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paramsDisplay: "77.4M",
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overall: 986,
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accuracy: 49.71,
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language: 1331,
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commonsense: 942,
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knowledge: 1026,
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context: 835,
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quantitative: 967,
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logic: 997,
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code: 954,
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links: { card: "https://huggingface.co/opencerebral/Boris-1.3-75M" },
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},
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{
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name: "Archaea-74M-V1.1",
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org: "godelev",
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source: "https://huggingface.co/AxiomicLabs/GPT-X2.5-135M",
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evidence: "Model card: Tokens 75B",
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},
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"Boris-250M": {
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tokens: 5_010_000_000,
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display: "5.01B",
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source: "https://huggingface.co/opencerebral/Boris-250M",
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evidence: "Model card: trained on 5.01B tokens",
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},
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"Boris-1.3-75M": {
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tokens: 3_950_000_000,
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display: "3.95B",
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source: "https://huggingface.co/opencerebral/Boris-1.3-75M",
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evidence: "Model card: 1.55B base plus 2.4B continued-pretraining tokens",
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},
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"SmolLM2-135M": {
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tokens: 2_000_000_000_000,
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display: "2T",
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