feat: integrate Ollama Registry, vLLM-style param estimation, and enhanced model info tooltips

data/providers.json

@@ -998,22 +998,22 @@
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@@ -1062,6 +1062,18 @@
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@@ -1106,18 +1118,6 @@
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@@ -1128,22 +1128,22 @@
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@@ -1155,20 +1155,19 @@
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@@ -1176,32 +1175,31 @@
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@@ -1241,27 +1239,29 @@
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@@ -1299,18 +1299,18 @@
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@@ -1396,17 +1396,16 @@
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@@ -1437,16 +1436,17 @@
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@@ -1472,80 +1472,66 @@
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@@ -1590,63 +1576,68 @@
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@@ -1674,6 +1665,15 @@
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@@ -1687,18 +1687,6 @@
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@@ -1736,6 +1724,18 @@
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@@ -1780,79 +1780,47 @@
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@@ -1882,7 +1850,7 @@
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@@ -1896,7 +1864,20 @@
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@@ -1910,35 +1891,42 @@
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@@ -1954,57 +1942,69 @@
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@@ -2064,6 +2064,31 @@
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@@ -2112,34 +2137,17 @@
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@@ -2155,45 +2163,37 @@
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@@ -2206,7 +2206,7 @@
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@@ -2219,83 +2219,83 @@
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@@ -2350,72 +2350,102 @@
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@@ -2445,32 +2475,44 @@
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@@ -2511,48 +2553,6 @@
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@@ -2636,6 +2636,15 @@
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@@ -2676,15 +2685,6 @@
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@@ -2771,7 +2771,7 @@
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@@ -2783,7 +2783,7 @@
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@@ -2791,7 +2791,7 @@
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@@ -2844,6 +2844,18 @@
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           "size_b": 753.9
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@@ -2884,18 +2896,6 @@
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@@ -2944,6 +2944,15 @@
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@@ -2958,25 +2967,15 @@
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@@ -3030,7 +3031,7 @@
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@@ -3043,7 +3044,7 @@
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@@ -3108,21 +3109,20 @@
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@@ -3164,18 +3164,6 @@
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@@ -3203,20 +3191,19 @@
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@@ -3225,11 +3212,11 @@
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@@ -3238,7 +3225,7 @@
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@@ -3268,7 +3255,7 @@
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@@ -3277,7 +3264,7 @@
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@@ -3294,33 +3281,20 @@
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@@ -3332,7 +3306,7 @@
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@@ -3369,25 +3343,16 @@
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@@ -3404,7 +3369,7 @@
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@@ -3417,16 +3382,15 @@
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@@ -3443,22 +3407,23 @@
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@@ -3472,6 +3437,41 @@
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+          "hf_private": true
+        },
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+          "currency": "USD",
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+        },
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+          "currency": "USD",
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+        },
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@@ -3499,7 +3499,7 @@
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@@ -3510,6 +3510,19 @@
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@@ -3523,7 +3536,7 @@
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@@ -3535,7 +3548,7 @@
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@@ -3547,20 +3560,20 @@
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+          "name": "anthropic/claude-sonnet-4-5",
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@@ -3569,11 +3582,11 @@
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@@ -3586,46 +3599,45 @@
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+          "name": "together/deepseek-ai/DeepSeek-R1",
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+          "size_b": 684.5
         },
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+          "name": "perplexity/sonar-pro",
           "type": "vision",
           "input_price_per_1m": 3,
           "output_price_per_1m": 15,
           "currency": "USD",
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@@ -3634,11 +3646,11 @@
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@@ -3647,19 +3659,20 @@
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@@ -3675,7 +3688,7 @@
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@@ -3688,7 +3701,7 @@
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@@ -3701,19 +3714,20 @@
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@@ -3722,25 +3736,11 @@
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@@ -3767,7 +3767,7 @@
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@@ -3780,7 +3780,7 @@
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@@ -3793,7 +3793,7 @@
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@@ -3806,7 +3806,7 @@
           "hf_private": true
         },
         {
-          "name": "anthropic/claude-opus-4-5",
+          "name": "vertex/claude-opus-4-5",
           "type": "vision",
           "input_price_per_1m": 5,
           "output_price_per_1m": 25,
@@ -3819,32 +3819,31 @@
           "hf_private": true
         },
         {
-          "name": "xai/grok-3",
-          "type": "chat",
+          "name": "openai/chatgpt-4o",
+          "type": "vision",
           "input_price_per_1m": 5,
-          "output_price_per_1m": 25,
+          "output_price_per_1m": 15,
           "currency": "USD",
-          "context_window": 131072,
           "capabilities": [
-            "tools"
+            "vision"
           ],
+          "context_window": 128000,
           "hf_private": true
         },
         {
-          "name": "vertex/claude-opus-4-6",
-          "type": "vision",
+          "name": "xai/grok-3",
+          "type": "chat",
           "input_price_per_1m": 5,
           "output_price_per_1m": 25,
           "currency": "USD",
+          "context_window": 131072,
           "capabilities": [
-            "vision",
-            "reasoning"
+            "tools"
           ],
-          "context_window": 1000000,
           "hf_private": true
         },
         {
-          "name": "vertex/claude-opus-4-5",
+          "name": "bedrock/claude-opus-4-5",
           "type": "vision",
           "input_price_per_1m": 5,
           "output_price_per_1m": 25,
@@ -3857,15 +3856,16 @@
           "hf_private": true
         },
         {
-          "name": "openai/chatgpt-4o",
+          "name": "bedrock/claude-opus-4-6",
           "type": "vision",
           "input_price_per_1m": 5,
-          "output_price_per_1m": 15,
+          "output_price_per_1m": 25,
           "currency": "USD",
           "capabilities": [
-            "vision"
+            "vision",
+            "reasoning"
           ],
-          "context_window": 128000,
+          "context_window": 1000000,
           "hf_private": true
         },
         {
@@ -3882,7 +3882,7 @@
           "hf_private": true
         },
         {
-          "name": "bedrock/claude-opus-4",
+          "name": "anthropic/claude-opus-4-1",
           "type": "vision",
           "input_price_per_1m": 15,
           "output_price_per_1m": 75,
@@ -3908,33 +3908,33 @@
           "hf_private": true
         },
         {
-          "name": "anthropic/claude-opus-4-1",
+          "name": "openai-responses/gpt-5-pro",
           "type": "vision",
           "input_price_per_1m": 15,
-          "output_price_per_1m": 75,
+          "output_price_per_1m": 120,
           "currency": "USD",
           "capabilities": [
             "vision",
             "reasoning"
           ],
-          "context_window": 200000,
+          "context_window": 400000,
           "hf_private": true
         },
         {
-          "name": "openai-responses/gpt-5-pro",
+          "name": "vertex/claude-opus-4-1",
           "type": "vision",
           "input_price_per_1m": 15,
-          "output_price_per_1m": 120,
+          "output_price_per_1m": 75,
           "currency": "USD",
           "capabilities": [
             "vision",
             "reasoning"
           ],
-          "context_window": 400000,
+          "context_window": 200000,
           "hf_private": true
         },
         {
-          "name": "vertex/claude-opus-4-1",
+          "name": "vertex/claude-opus-4",
           "type": "vision",
           "input_price_per_1m": 15,
           "output_price_per_1m": 75,
@@ -3947,10 +3947,10 @@
           "hf_private": true
         },
         {
-          "name": "vertex/claude-opus-4",
+          "name": "openai/o1",
           "type": "vision",
           "input_price_per_1m": 15,
-          "output_price_per_1m": 75,
+          "output_price_per_1m": 60,
           "currency": "USD",
           "capabilities": [
             "vision",
@@ -3960,10 +3960,10 @@
           "hf_private": true
         },
         {
-          "name": "openai/o1",
+          "name": "coding/claude-opus-4-20250514",
           "type": "vision",
           "input_price_per_1m": 15,
-          "output_price_per_1m": 60,
+          "output_price_per_1m": 75,
           "currency": "USD",
           "capabilities": [
             "vision",
@@ -3973,7 +3973,7 @@
           "hf_private": true
         },
         {
-          "name": "coding/claude-opus-4-20250514",
+          "name": "bedrock/claude-opus-4",
           "type": "vision",
           "input_price_per_1m": 15,
           "output_price_per_1m": 75,
@@ -4594,7 +4594,9 @@
           "currency": "USD",
           "capabilities": [
             "image-gen"
-          ]
+          ],
+          "size_b": 12,
+          "hf_id": "black-forest-labs/FLUX.1-dev"
         },
         {
           "name": "sdxl",
@@ -4886,7 +4888,8 @@
           "input_price_per_1m": 0.4,
           "output_price_per_1m": 2,
           "currency": "USD",
-          "api_endpoint": "devstral-medium-latest"
+          "api_endpoint": "devstral-medium-latest",
+          "ollama_id": "devstral-2"
         },
         {
           "name": "Devstral Small 2",
@@ -4910,7 +4913,8 @@
           "api_endpoint": "codestral-latest",
           "capabilities": [
             "tools"
-          ]
+          ],
+          "ollama_id": "codestral"
         },
         {
           "name": "Mistral Small 3.2",
@@ -9568,7 +9572,9 @@
           "input_price_per_1m": 0,
           "output_price_per_1m": 0,
           "currency": "USD",
-          "category": "FLUX.1"
+          "category": "FLUX.1",
+          "size_b": 12,
+          "hf_id": "black-forest-labs/FLUX.1-dev"
         },
         {
           "name": "flux-2-pro",
@@ -9582,7 +9588,7 @@
           "output_price_per_1m": 0,
           "currency": "USD",
           "category": "FLUX.2",
-          "size_b": 12,
+          "size_b": 32,
           "hf_id": "black-forest-labs/FLUX.2-pro"
         },
         {
@@ -9623,7 +9629,7 @@
           "output_price_per_1m": 0,
           "currency": "USD",
           "category": "FLUX.2",
-          "size_b": 12,
+          "size_b": 32,
           "hf_id": "black-forest-labs/FLUX.2-flex"
         },
         {
@@ -9677,7 +9683,7 @@
           "output_price_per_1m": 0,
           "currency": "USD",
           "category": "FLUX.2",
-          "size_b": 12,
+          "size_b": 32,
           "hf_id": "black-forest-labs/FLUX.2-max"
         },
         {

scripts/fetch-providers.js

@@ -53,7 +53,7 @@ function updateProviderModels(providers, providerName, models) {
     return false;
   }
 
-  // Smart merge: preserve existing metadata (size_b, hf_id, capabilities, hf_private) if missing in new data
+  // Smart merge: preserve existing metadata (size_b, hf_id, ollama_id, capabilities, hf_private) if missing in new data
   const existingMap = new Map((provider.models || []).map(m => [m.name, m]));
   
   provider.models = models.map(newModel => {
@@ -66,6 +66,7 @@ function updateProviderModels(providers, providerName, models) {
       // But preserve these if newModel doesn't have them
       size_b: newModel.size_b || existing.size_b,
       hf_id: newModel.hf_id || existing.hf_id,
+      ollama_id: newModel.ollama_id || existing.ollama_id,
       hf_private: newModel.hf_private ?? existing.hf_private,
       capabilities: (newModel.capabilities && newModel.capabilities.length > 0) 
         ? newModel.capabilities 
@@ -154,6 +155,26 @@ function findOrMatch(modelName, orIndex) {
   return null;
 }
 
+// Estimate parameters from config.json (vLLM style fallback)
+function estimateParams(config) {
+  if (!config) return null;
+  const h = config.hidden_size || config.d_model || config.n_embd;
+  const l = config.num_hidden_layers || config.n_layer;
+  const v = config.vocab_size;
+  const i = config.intermediate_size || config.d_ff;
+  
+  if (h && l && v) {
+    // Basic transformer param estimation: Layers * (Embedding + Attention + MLP)
+    // Embedding: v * h
+    // Attention: 4 * h^2
+    // MLP: 2 * h * i (or 8 * h^2 roughly if i missing)
+    const intermediate = i || (4 * h);
+    const params = (v * h) + l * (4 * (h * h) + 2 * (h * intermediate));
+    return params;
+  }
+  return null;
+}
+
 // Fetch total_parameters from Hugging Face Hub API (Metadata)
 async function fetchHFSize(hfId) {
   if (!hfId || hfId.includes(' ') || !hfId.includes('/')) return { error: 'Invalid ID' };
@@ -165,11 +186,18 @@ async function fetchHFSize(hfId) {
     
     // Check various common metadata locations for total parameters
     let params = data.safetensors?.total || data.config?.total_parameters || data.config?.model_type_params;
+    
+    // Fallback: cardData
     if (!params && data.cardData?.model_details?.parameters) {
       const match = data.cardData.model_details.parameters.match(/([\d.]+)\s*[Bb]/);
       if (match) params = parseFloat(match[1]) * 1_000_000_000;
     }
     
+    // Fallback: vLLM-style estimation from config
+    if (!params && data.config) {
+      params = estimateParams(data.config);
+    }
+    
     if (!params) return { error: 'No parameter data in Hub metadata' };
     
     const b = params / 1_000_000_000;
@@ -183,6 +211,34 @@ async function fetchHFSize(hfId) {
   }
 }
 
+// Fetch parameter info from Ollama Registry
+async function fetchOllamaMetadata(modelName) {
+  const slug = modelName.toLowerCase().replace(/[^a-z0-9]/g, '-').replace(/-+/g, '-');
+  const url = `https://registry.ollama.ai/v2/library/${slug}/manifests/latest`;
+  try {
+    const data = await getJson(url, { 
+      headers: { Accept: 'application/vnd.docker.distribution.manifest.v2+json' },
+      retries: 1 
+    });
+    if (!data.config?.digest) return null;
+    
+    // Fetch the config blob
+    const configUrl = `https://registry.ollama.ai/v2/library/${slug}/blobs/${data.config.digest}`;
+    const config = await getJson(configUrl, { retries: 1 });
+    
+    const info = config.model_info || {};
+    const count = info['general.parameter_count'] || info['parameter_count'];
+    if (count) {
+      const b = count / 1_000_000_000;
+      const size = b < 1 ? Math.round(b * 100) / 100 : Math.round(b * 10) / 10;
+      return { size, ollama_id: slug };
+    }
+    return { ollama_id: slug }; // Found model but no size
+  } catch (e) {
+    return null;
+  }
+}
+
 const EMBEDDER_KEYWORDS = ['embed', 'bge', 'gte', 'e5', 'stella', 'minilm', 'multilingual-mpnet'];
 
 // Link common models to their HF IDs when naming is non-standard
@@ -207,6 +263,7 @@ const MANUAL_HF_ID_MAP = {
   'qwen vl max': 'Qwen/Qwen2-VL-72B-Instruct',
   // FLUX detailed mappings
   'flux 1 dev': 'black-forest-labs/FLUX.1-dev',
+  'flux dev': 'black-forest-labs/FLUX.1-dev',
   'flux 2 dev': 'black-forest-labs/FLUX.2-dev',
   'flux 2 klein 4b': 'black-forest-labs/FLUX.2-klein-4B',
   'flux 2 klein 9b': 'black-forest-labs/FLUX.2-klein-9B',
@@ -219,12 +276,6 @@ const MANUAL_HF_ID_MAP = {
   'flux 1 1 pro ultra': 'black-forest-labs/FLUX.1-pro',
   'flux 1 fill pro': 'black-forest-labs/FLUX.1-pro',
   'flux 1 kontext max': 'black-forest-labs/FLUX.1-pro',
-  // Mistral mappings
-  'mistral large 2407': 'mistralai/Mistral-Large-Instruct-2407',
-  'mistral large latest': 'mistralai/Mistral-Large-Instruct-2407',
-  'mistral large 2': 'mistralai/Mistral-Large-Instruct-2407',
-  'mistral large 2411': 'mistralai/Mistral-Large-Instruct-2411',
-  'mistral large 3': 'mistralai/Mistral-Large-Instruct-2411',
 };
 
 const MANUAL_SIZE_MAP = {
@@ -272,9 +323,11 @@ async function propagateExtraData(data) {
   let propagatedSize = 0;
   let autoTagged = 0;
   let hfSizeFetched = 0;
+  let ollamaFetched = 0;
 
   // We'll collect models missing size that have a clear HF-id-like name
   const hfLookupQueue = [];
+  const ollamaLookupQueue = [];
 
   for (const provider of data.providers) {
     for (const model of provider.models || []) {
@@ -286,11 +339,13 @@ async function propagateExtraData(data) {
       }
 
       // 1. STRUCTURED LOOKUP: Match size by hf_id if available (Benchmark gold-standard)
-      if (!model.size_b && model.hf_id) {
+      if (model.hf_id) {
+        // High-confidence manual override (always overwrite even if size already exists)
         if (MANUAL_SIZE_MAP[model.hf_id]) {
           model.size_b = MANUAL_SIZE_MAP[model.hf_id];
           propagatedSize++;
-        } else {
+        } else if (!model.size_b) {
+          // Fallback to benchmarks if size missing
           const size = hfIdToSize.get(model.hf_id.toLowerCase());
           if (size) { model.size_b = size; propagatedSize++; }
         }
@@ -345,10 +400,13 @@ async function propagateExtraData(data) {
         else if (n.includes('gemma 2 2b') || n.includes('gemma2 2b')) { model.size_b = 2; propagatedSize++; }
       }
 
-      // 6. QUEUE: Still missing size? Try Hub API metadata lookup
-      // Skip models that we've previously marked as private/unauthorized
-      if (!model.size_b && !model.hf_private && (model.name.includes('/') || model.hf_id)) {
-        hfLookupQueue.push(model);
+      // 6. QUEUE: Still missing size? Try Hub API or Ollama
+      if (!model.size_b) {
+        if (!model.hf_private && (model.name.includes('/') || model.hf_id)) {
+          hfLookupQueue.push(model);
+        } else if (model.type === 'chat') {
+          ollamaLookupQueue.push(model);
+        }
       }
     }
   }
@@ -399,9 +457,37 @@ async function propagateExtraData(data) {
     console.log(`  ✓ Total ${hfSizeFetched} new sizes from HF metadata`);
   }
 
+  // 8. OLLAMA REGISTRY: Inspect parameter info (Final fallback for common models)
+  const uniqueOllama = [...new Set(ollamaLookupQueue.map(m => m.name.split('/').pop().replace(/:free$/, '')))].slice(0, 50);
+  if (uniqueOllama.length > 0) {
+    console.log(`\n  Ollama: inspecting registry for ${uniqueOllama.length} models...`);
+    const nameToOllama = new Map();
+    for (let i = 0; i < uniqueOllama.length; i++) {
+      const name = uniqueOllama[i];
+      process.stdout.write(`    [${i+1}/${uniqueOllama.length}] ${name.padEnd(50)} `);
+      const res = await fetchOllamaMetadata(name);
+      if (res) {
+        nameToOllama.set(name, res);
+        process.stdout.write(res.size ? `✓ ${res.size}B\n` : `✓ (exists)\n`);
+      } else {
+        process.stdout.write(`✗\n`);
+      }
+      await new Promise(r => setTimeout(r, 50));
+    }
+    for (const model of ollamaLookupQueue) {
+      const name = model.name.split('/').pop().replace(/:free$/, '');
+      const res = nameToOllama.get(name);
+      if (res) {
+        if (res.size && !model.size_b) { model.size_b = res.size; ollamaFetched++; }
+        if (res.ollama_id) model.ollama_id = res.ollama_id;
+      }
+    }
+    console.log(`  ✓ Total ${ollamaFetched} new sizes from Ollama`);
+  }
+
   if (autoTagged > 0) console.log(`Auto-tagged ${autoTagged} image-gen/embedding models.`);
   if (propagatedCaps > 0) console.log(`Propagated capabilities to ${propagatedCaps} models.`);
-  if (propagatedSize + hfSizeFetched > 0) console.log(`Enriched size data for ${propagatedSize + hfSizeFetched} models.`);
+  if (propagatedSize + hfSizeFetched + ollamaFetched > 0) console.log(`Enriched size data for ${propagatedSize + hfSizeFetched + ollamaFetched} models.`);
 }
 
 async function runFetcher(fetcher, data) {

src/App.css

@@ -86,12 +86,12 @@ header p {
   background-color: var(--white);
   cursor: pointer;
 }
-
 .table-container {
   background-color: var(--white);
   border-radius: 0.75rem;
   box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -1px rgba(0, 0, 0, 0.06);
-  overflow: hidden;
+  overflow-x: auto;
+  margin-bottom: 2rem;
   border: 1px solid var(--border-color);
 }
 
@@ -99,8 +99,10 @@ table {
   width: 100%;
   border-collapse: collapse;
   text-align: left;
+  min-width: 800px; /* Ensure table doesn't squash too much */
 }
 
+
 th {
   background-color: #f1f5f9;
   padding: 1rem;

src/App.tsx

@@ -17,6 +17,7 @@ interface Model {
   capabilities?: string[]
   display_name?: string
   hf_id?: string
+  ollama_id?: string
 }
 
 interface Provider {
@@ -76,10 +77,18 @@ interface BenchmarkEntry {
   aider_pass_rate?: number; // 0-1, first-pass success on 133 coding tasks
   // Artificial Analysis (artificialanalysis.ai)
   aa_id?: string;
+  aa_name?: string;
+  aa_slug?: string;
   aa_intelligence?: number; // 0-100 intelligence index
+  aa_coding?: number;       // 0-100 coding index
+  aa_math?: number;         // 0-100 math index
   aa_mmlu_pro?: number;
   aa_gpqa?: number;
   aa_livecodebench?: number;
+  aa_hle?: number;
+  aa_scicode?: number;
+  aa_math_500?: number;
+  aa_aime?: number;
   aa_tokens_per_s?: number;
   aa_latency_s?: number;
 }
@@ -154,6 +163,9 @@ function App() {
       if (b.lb_name) nameMap.set(normalizeName(b.lb_name), b);
       // Chatbot Arena display name
       if (b.arena_name) nameMap.set(normalizeName(b.arena_name), b);
+      // Artificial Analysis name and slug
+      if (b.aa_name) nameMap.set(normalizeName(b.aa_name), b);
+      if (b.aa_slug) nameMap.set(normalizeName(b.aa_slug), b);
     }
     return { nameMap, hfIdMap };
   }, [liveBenchmarks]);
@@ -535,6 +547,14 @@ function App() {
                               </a>
                             </div>
                           )}
+                          {model.ollama_id && (
+                            <div className="tooltip-row">
+                              <strong>Ollama:</strong> 
+                              <a href={`https://ollama.com/library/${model.ollama_id}`} target="_blank" rel="noopener noreferrer" className="hf-link">
+                                {model.ollama_id} ↗
+                              </a>
+                            </div>
+                          )}
                           {model.capabilities && model.capabilities.length > 0 && (
                             <div className="tooltip-row"><strong>Caps:</strong> {model.capabilities.join(', ')}</div>
                           )}