Upload data.json

data.json

@@ -88,6 +88,46 @@
         }
       ]
     },
+    {
+      "id": "qwen",
+      "name": "Qwen",
+      "link": "https://huggingface.co/Qwen",
+      "color": "#C3ADE8",
+      "models": [
+        {
+          "id": "Qwen/Qwen2.5-Coder-0.5B-Instruct",
+          "name": "Qwen2.5-Coder-0.5B-Instruct",
+          "parameters": "0.5B",
+          "model_card_url": "https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B-Instruct",
+          "model_type": "creator_posttrained",
+          "evaluation_status": "evaluated",
+          "date_submitted": "2026-11-07",
+          "date_added": "2026-11-07",
+          "author_note": "An instruction-tuned Qwen2.5 Coder model evaluated on CogniRank reasoning, agentic, and programming benchmarks.",
+          "comment_source": "dotlabs",
+          "checkpoint_revision": "ea3f2471cf1b1f0db85067f1ef93848e38e88c25",
+          "scores": {
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+            "marc": 7.1875,
+            "procedural_pile": 13.450502730198362,
+            "smolcua": 6.7121,
+            "smolscript": 17.558830058830058
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+          "cognirank_index": 15.53334974443935,
+          "evaluation": {
+            "protocol": "cognirank2-v5-context-4096",
+            "requested_context": 4096,
+            "component_protocols": {
+              "reasoning": "cognirank2-v5-context-4096",
+              "smolcua": "SmolCUA v1.4",
+              "smolcua_subset": "smolcua-v1.4-three-passes",
+              "smolscript": "smolscript-full-350"
+            },
+            "source_file_sha256": "b5eed5fc69303033e8c364aa0de66f5f2169cc5e482ab65327bfecdd32b3dfba"
+          }
+        }
+      ]
+    },
     {
       "id": "liquidai",
       "name": "LiquidAI",
@@ -162,6 +202,109 @@
         }
       ]
     },
+    {
+      "id": "huggingface-tb",
+      "name": "HuggingFaceTB",
+      "link": "https://huggingface.co/HuggingFaceTB",
+      "color": "#F5D18C",
+      "models": [
+        {
+          "id": "HuggingFaceTB/SmolLM2-360M-Instruct",
+          "name": "SmolLM2-360M-Instruct",
+          "parameters": "360M",
+          "model_card_url": "https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct",
+          "model_type": "creator_posttrained",
+          "evaluation_status": "evaluated",
+          "date_submitted": "2026-11-07",
+          "date_added": "2026-11-07",
+          "author_note": "An instruction-tuned SmolLM2 checkpoint from its original creators, evaluated across all five CogniRank benchmarks.",
+          "comment_source": "dotlabs",
+          "checkpoint_revision": "a10cc1512eabd3dde888204e902eca88bddb4951",
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+            "component_protocols": {
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+              "smolcua": "SmolCUA v1.4",
+              "smolcua_subset": "smolcua-v1.4-three-passes",
+              "smolscript": "smolscript-full-350"
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+            "source_file_sha256": "3d5b2d29bacd10635c2e47bd97f7520503c865296141ada7162f5d7b851c76de"
+          }
+        },
+        {
+          "id": "HuggingFaceTB/SmolLM2-135M",
+          "name": "SmolLM2-135M",
+          "parameters": "135M",
+          "model_card_url": "https://huggingface.co/HuggingFaceTB/SmolLM2-135M",
+          "model_type": "pretrained",
+          "evaluation_status": "evaluated",
+          "date_submitted": "2026-11-04",
+          "date_added": "2026-11-04",
+          "author_note": "A small open foundation model designed to make language modeling accessible within a tight compute budget.",
+          "comment_source": "dotlabs",
+          "checkpoint_revision": "93efa2f097d58c2a74874c7e644dbc9b0cee75a2",
+          "scores": {
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+            "component_protocols": {
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+              "smolscript": "smolscript-0.5.0"
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+          }
+        },
+        {
+          "id": "HuggingFaceTB/SmolLM-135M",
+          "name": "SmolLM-135M",
+          "parameters": "135M",
+          "model_card_url": "https://huggingface.co/HuggingFaceTB/SmolLM-135M",
+          "model_type": "pretrained",
+          "evaluation_status": "evaluated",
+          "date_submitted": "2026-11-06",
+          "date_added": "2026-11-06",
+          "author_note": "A compact SmolLM foundation model pretrained on educational and web text, designed for accessible small-model experimentation.",
+          "comment_source": "dotlabs",
+          "checkpoint_revision": "1d461723eec654e65efdc40cf49301c89c0c92f4",
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+              "smolcua_scoring": "v2-outer-whitespace-insensitive"
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+            "smolcua_dataset_sha256": "74fb0a12a8dd75cbd8675d76e8bcf4a16e1b424668a195f4ff9a31da2becf065"
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+        }
+      ]
+    },
     {
       "id": "tiiuae",
       "name": "TII",
@@ -407,7 +550,7 @@
           "evaluation_status": "evaluated",
           "date_submitted": "2026-11-06",
           "date_added": "2026-11-06",
-          "author_note": "A 144M-parameter dense Boris 2 language-model checkpoint from a 100B-token pretraining run, evaluated with a 2K-token context.",
+          "author_note": "A 144M-parameter dense Boris 2 language-model checkpoint from a 100B-token pretraining run.",
           "comment_source": "dotlabs",
           "checkpoint_revision": "f2615d19c87b92b5d64a611030d7bbfb7c1da5b1",
           "scores": {
@@ -430,77 +573,6 @@
         }
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-      "name": "HuggingFaceTB",
-      "link": "https://huggingface.co/HuggingFaceTB",
-      "color": "#F5D18C",
-      "models": [
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-          "id": "HuggingFaceTB/SmolLM2-135M",
-          "name": "SmolLM2-135M",
-          "parameters": "135M",
-          "model_card_url": "https://huggingface.co/HuggingFaceTB/SmolLM2-135M",
-          "model_type": "pretrained",
-          "evaluation_status": "evaluated",
-          "date_submitted": "2026-11-04",
-          "date_added": "2026-11-04",
-          "author_note": "A small open foundation model designed to make language modeling accessible within a tight compute budget.",
-          "comment_source": "dotlabs",
-          "checkpoint_revision": "93efa2f097d58c2a74874c7e644dbc9b0cee75a2",
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-              "smolscript": "smolscript-0.5.0"
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-          "id": "HuggingFaceTB/SmolLM-135M",
-          "name": "SmolLM-135M",
-          "parameters": "135M",
-          "model_card_url": "https://huggingface.co/HuggingFaceTB/SmolLM-135M",
-          "model_type": "pretrained",
-          "evaluation_status": "evaluated",
-          "date_submitted": "2026-11-06",
-          "date_added": "2026-11-06",
-          "author_note": "A compact SmolLM foundation model pretrained on educational and web text, designed for accessible small-model experimentation.",
-          "comment_source": "dotlabs",
-          "checkpoint_revision": "1d461723eec654e65efdc40cf49301c89c0c92f4",
-          "scores": {
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-              "smolcua_scoring": "v2-outer-whitespace-insensitive"
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-    },
     {
       "id": "axiomic-labs",
       "name": "AxiomicLabs",
@@ -745,7 +817,7 @@
           "evaluation_status": "evaluated",
           "date_submitted": "2026-11-07",
           "date_added": "2026-11-07",
-          "author_note": "A 97.7M-parameter hybrid recurrent model combining Gated DeltaNet-2 and full attention, evaluated with a 4,096-token context extension beyond its declared 2,048-token window.",
+          "author_note": "A 97.7M-parameter hybrid recurrent model combining Gated DeltaNet-2 and full attention.",
           "comment_source": "dotlabs",
           "checkpoint_revision": "bd2dd851bcb14d0bff5b3a78ca58246b99c441f4",
           "scores": {
@@ -791,7 +863,7 @@
           "evaluation_status": "evaluated",
           "date_submitted": "2026-11-07",
           "date_added": "2026-11-07",
-          "author_note": "A 49.3M-parameter language model pretrained from scratch, evaluated with a 4,096-token context extension beyond its declared 1,024-token window.",
+          "author_note": "A 49.3M-parameter language model pretrained from scratch.",
           "comment_source": "dotlabs",
           "checkpoint_revision": "3f6e4f20bbf6d69dc43ab95ef9376925de8a3160",
           "scores": {
@@ -822,6 +894,46 @@
         }
       ]
     },
+    {
+      "id": "meta",
+      "name": "Meta",
+      "link": "https://huggingface.co/facebook",
+      "color": "#B5CCDF",
+      "models": [
+        {
+          "id": "facebook/MobileLLM-R1-140M",
+          "name": "MobileLLM-R1-140M",
+          "parameters": "140M",
+          "model_card_url": "https://huggingface.co/facebook/MobileLLM-R1-140M",
+          "model_type": "pretrained",
+          "evaluation_status": "evaluated",
+          "date_submitted": "2026-11-07",
+          "date_added": "2026-11-07",
+          "author_note": "A 140M-parameter MobileLLM-R1 checkpoint evaluated across the five CogniRank benchmarks.",
+          "comment_source": "dotlabs",
+          "checkpoint_revision": "df21db6bd739b9b82c2caf2647b724ed63b8521e",
+          "scores": {
+            "ttm": 38.7,
+            "marc": 3.125,
+            "procedural_pile": 0.017009287573051233,
+            "smolcua": 0.0,
+            "smolscript": 0.0
+          },
+          "cognirank_index": 5.549896692120643,
+          "evaluation": {
+            "protocol": "cognirank2-v5-context-4096",
+            "requested_context": 4096,
+            "component_protocols": {
+              "reasoning": "cognirank2-v5-context-4096",
+              "smolcua": "SmolCUA v1.4",
+              "smolcua_subset": "smolcua-v1.4-three-passes",
+              "smolscript": "smolscript-full-350"
+            },
+            "source_file_sha256": "34d4f01fded5e7bd8b49e93c16a59d123bf0144b6c208a9d02e67737ff46d758"
+          }
+        }
+      ]
+    },
     {
       "id": "algodriveai",
       "name": "AlgoDriveAI",
@@ -837,7 +949,7 @@
           "evaluation_status": "evaluated",
           "date_submitted": "2026-11-07",
           "date_added": "2026-11-07",
-          "author_note": "A 76.2M-parameter math-focused base language model trained by AlgoDriveAI, evaluated with a 4,096-token context extension beyond its declared 2,048-token window.",
+          "author_note": "A 76.2M-parameter math-focused base language model trained by AlgoDriveAI.",
           "comment_source": "dotlabs",
           "checkpoint_revision": "4b3de728668c6159529b63b2dc63a35d97095046",
           "scores": {