diff --git a/studio/frontend/src/config/training.ts b/studio/frontend/src/config/training.ts
index 362766e04b..1a8a58e095 100644
--- a/studio/frontend/src/config/training.ts
+++ b/studio/frontend/src/config/training.ts
@@ -1,6 +1,4 @@
 import type {
-  DatasetOption,
-  ModelOption,
   ModelType,
   StepConfig,
 } from "@/types/training";
@@ -66,132 +64,6 @@ export const MODEL_TYPES: ReadonlyArray<{
   },
 ];
 
-export const MODELS: ModelOption[] = [
-  // Vision models
-  {
-    id: "llava-1.6-7b",
-    name: "LLaVA 1.6 7B",
-    type: "vision",
-    params: "7B",
-    vram: "~6GB",
-    context: "4K",
-    hfRepo: "unsloth/llava-v1.6-mistral-7b",
-    recommended: true,
-  },
-  {
-    id: "llava-1.6-13b",
-    name: "LLaVA 1.6 13B",
-    type: "vision",
-    params: "13B",
-    vram: "~10GB",
-    context: "4K",
-    hfRepo: "unsloth/llava-v1.6-vicuna-13b",
-    recommended: true,
-  },
-  {
-    id: "qwen-vl-7b",
-    name: "Qwen-VL 7B",
-    type: "vision",
-    params: "7B",
-    vram: "~6GB",
-    context: "8K",
-    hfRepo: "Qwen/Qwen-VL-Chat",
-  },
-  // TTS models
-  {
-    id: "bark",
-    name: "Bark",
-    type: "tts",
-    params: "1B",
-    hfRepo: "suno/bark",
-    recommended: true,
-  },
-  {
-    id: "xtts-v2",
-    name: "XTTS v2",
-    type: "tts",
-    params: "500M",
-    hfRepo: "coqui/XTTS-v2",
-  },
-  // Embedding models
-  {
-    id: "bge-large",
-    name: "BGE Large",
-    type: "embeddings",
-    params: "335M",
-    recommended: true,
-  },
-  { id: "e5-large", name: "E5 Large", type: "embeddings", params: "335M" },
-  { id: "gte-large", name: "GTE Large", type: "embeddings", params: "335M" },
-  // Text models
-  {
-    id: "mistral-7b",
-    name: "Mistral 7B",
-    type: "text",
-    params: "7B",
-    vram: "~5GB",
-    context: "32K",
-    hfRepo: "unsloth/mistral-7b-v0.3",
-  },
-  {
-    id: "qwen2-7b",
-    name: "Qwen2 7B",
-    type: "text",
-    params: "7B",
-    vram: "~5GB",
-    context: "32K",
-  },
-  {
-    id: "phi-3-mini",
-    name: "Phi-3 Mini",
-    type: "text",
-    params: "3.8B",
-    vram: "~3GB",
-    context: "128K",
-  },
-];
-
-export const DATASETS: DatasetOption[] = [
-  {
-    id: "alpaca",
-    name: "Alpaca",
-    description: "Instruction following dataset",
-    size: "52K",
-    recommended: true,
-  },
-  {
-    id: "dolly-15k",
-    name: "Dolly 15K",
-    description: "Databricks instruction dataset",
-    size: "15K",
-    recommended: true,
-  },
-  {
-    id: "openorca",
-    name: "OpenOrca",
-    description: "Large-scale instruct dataset",
-    size: "4M",
-  },
-  {
-    id: "wizard-lm",
-    name: "WizardLM",
-    description: "Complex instruction dataset",
-    size: "196K",
-  },
-  {
-    id: "lima",
-    name: "LIMA",
-    description: "Curated high-quality dataset",
-    size: "1K",
-  },
-  {
-    id: "sharegpt",
-    name: "ShareGPT",
-    description: "Conversation dataset",
-    size: "90K",
-  },
-];
-
 export const CONTEXT_LENGTHS = [512, 1024, 2048, 4096, 8192, 16384, 32768];
 
 export const TARGET_MODULES = [
@@ -235,13 +107,6 @@ export const DEFAULT_HYPERPARAMS = {
   targetModules: TARGET_MODULES,
 };
 
-export function findModelById(id: string | null): ModelOption | undefined {
-  if (!id) {
-    return undefined;
-  }
-  return MODELS.find((m) => m.id === id || m.hfRepo === id);
-}
-
 export const MODEL_TYPE_TO_HF_TASK: Record<ModelType, PipelineType> = {
   text: "text-generation",
   vision: "image-text-to-text",
diff --git a/studio/frontend/src/features/export/export-page.tsx b/studio/frontend/src/features/export/export-page.tsx
index 8c242941cb..376a963169 100644
--- a/studio/frontend/src/features/export/export-page.tsx
+++ b/studio/frontend/src/features/export/export-page.tsx
@@ -13,7 +13,6 @@ import {
   TooltipContent,
   TooltipTrigger,
 } from "@/components/ui/tooltip";
-import { findModelById } from "@/config/training";
 import { useWizardStore } from "@/stores/training";
 import { isAdapterMethod } from "@/types/training";
 import { InformationCircleIcon, PackageIcon } from "@hugeicons/core-free-icons";
@@ -55,10 +54,6 @@ export function ExportPage() {
     })),
   );
   const isAdapter = isAdapterMethod(trainingMethod);
-  const modelInfo = useMemo(
-    () => findModelById(selectedModel),
-    [selectedModel],
-  );
 
   const checkpoints = useMemo(() => {
     if (isAdapter) {
@@ -110,7 +105,7 @@ export function ExportPage() {
     checkpoint &&
     exportMethod &&
     (exportMethod !== "gguf" || quantLevels.length > 0);
-  const baseModelName = modelInfo?.name ?? selectedModel ?? "—";
+  const baseModelName = selectedModel ?? "—";
 
   return (
     <div className="min-h-screen bg-background">
@@ -216,12 +211,6 @@ export function ExportPage() {
                       <span className="font-medium">{loraRank}</span>
                     </div>
                   )}
-                  {modelInfo?.params && (
-                    <div className="flex justify-between">
-                      <span className="text-muted-foreground">Params</span>
-                      <span className="font-medium">{modelInfo.params}</span>
-                    </div>
-                  )}
                 </div>
               </div>
             </div>
diff --git a/studio/frontend/src/types/training.ts b/studio/frontend/src/types/training.ts
index 0a286571e1..9d67439258 100644
--- a/studio/frontend/src/types/training.ts
+++ b/studio/frontend/src/types/training.ts
@@ -123,23 +123,4 @@ export interface StepConfig {
   title: string;
   subtitle: string;
   description: string;
-}
-
-export interface ModelOption {
-  id: string;
-  name: string;
-  type: ModelType;
-  params: string;
-  vram?: string;
-  context?: string;
-  hfRepo?: string;
-  recommended?: boolean;
-}
-
-export interface DatasetOption {
-  id: string;
-  name: string;
-  description: string;
-  size: string;
-  recommended?: boolean;
-}
+}
\ No newline at end of file