tooltip + range devices

frontend/src/pages/LeaderboardPage/components/Leaderboard/constants/quickFilters.js

@@ -1,19 +1,29 @@
 export const QUICK_FILTER_PRESETS = [
+  {
+    id: 'edge_device',
+    label: 'Edge Device Models',
+    shortDescription: 'Up to 3B parameters',
+    description: 'Lightweight models optimized for edge devices with limited resources. Ideal for mobile deployment or edge computing environments.',
+    filters: {
+      paramsRange: [0, 3],
+      selectedBooleanFilters: ['is_for_edge_devices']
+    }
+  },
   {
     id: 'small_models',
-    label: 'Small Models',
-    shortDescription: '1.7B-7B parameters',
-    description: 'Lightweight models optimized for devices with limited resources. Ideal for mobile deployment or edge computing environments.',
+    label: 'SmolLMs',
+    shortDescription: 'Up to 7B parameters',
+    description: 'Lightweight models optimized for consumer hardware with up to one GPU. Ideal for private consumer hardware.',
     filters: {
-      paramsRange: [1.7, 7],
+      paramsRange: [0, 7],
       selectedBooleanFilters: ['is_for_edge_devices']
     }
   },
   {
     id: 'medium_models',
-    label: 'Medium Models',
-    shortDescription: '7B-70B parameters',
-    description: 'Good balance between performance and required resources. Recommended for most use cases and standard server deployments.',
+    label: 'Middle ground models',
+    shortDescription: '7B-65B parameters',
+    description: 'Overall balance between performance and required resources.',
     filters: {
       paramsRange: [7, 70],
       selectedBooleanFilters: []
@@ -21,11 +31,11 @@ export const QUICK_FILTER_PRESETS = [
   },
   {
     id: 'large_models',
-    label: 'Large Models',
-    shortDescription: '70B+ parameters',
-    description: 'Large-scale models offering the best performance but requiring significant resources. Ideal for applications requiring high accuracy with adapted infrastructure.',
+    label: 'GPU-rich Models',
+    shortDescription: '65B+ parameters',
+    description: 'Large-scale models offering (in theory) the best performance but requiring significant resources. Requires adapted infrastructure.',
     filters: {
-      paramsRange: [70, 140],
+      paramsRange: [85, 140],
       selectedBooleanFilters: []
     }
   },

frontend/src/pages/LeaderboardPage/components/Leaderboard/constants/tooltips.js

@@ -324,20 +324,25 @@ export const UI_TOOLTIPS = {
     },
   ]),
   QUICK_FILTERS: createTooltipContent(
-    "Filter models based on their size and capabilities:",
+    "Filter models based on their size and applicable hardware:",
     [
       {
-        label: "Small Models (1.7B-7B)",
+        label: "Edge devices (Up to 3BB)",
+        description:
+          "Efficient models for edge devices, optimized for blazing fast inference.",
+      },
+      {
+        label: "Smol Models (1.7B-7B)",
         description:
           "Efficient models for consumer hardware and edge devices, optimized for fast inference.",
       },
       {
-        label: "Medium Models (7B-70B)",
+        label: "Middle ground models (7B-65B)",
         description:
-          "Balanced performance and resource usage, ideal for most production use cases.",
+          "A bit of everything here, with overall balanced performance and resource usage around 30B.",
       },
       {
-        label: "Large Models (70B+)",
+        label: "GPU-rich models (65B+)",
         description:
           "State-of-the-art performance for complex tasks, requires significant computing power.",
       },