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fix(models): use runtime device detection instead of hardcoded webgpu #74

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fix(models): use runtime device detection instead of hardcoded webgpu #74

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5 changes: 0 additions & 5 deletions next-vercel-ai-sdk/src/app/models.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,6 @@ export const MODELS: ModelConfig[] = [
{
id: "HuggingFaceTB/SmolLM2-360M-Instruct",
name: "SmolLM2 360M",
device: "webgpu",
dtype: "q4",
supportsWorker: true,
},
Expand All @@ -23,26 +22,22 @@ export const MODELS: ModelConfig[] = [
{
id: "onnx-community/Qwen3-0.6B-ONNX",
name: "Qwen3 0.6B",
device: "webgpu",
dtype: "q4f16",
supportsWorker: true,
},
{
id: "onnx-community/Llama-3.2-1B-Instruct-q4f16",
name: "Llama 3.2 1B",
device: "webgpu",
supportsWorker: true,
},
{
id: "onnx-community/DeepSeek-R1-Distill-Qwen-1.5B-ONNX",
name: "Deepseek R1 Distill 1.5B",
device: "webgpu",
dtype: "q4f16",
},
{
id: "HuggingFaceTB/SmolVLM-256M-Instruct",
name: "SmolVLM 256M (Vision)",
device: "webgpu",
dtype: "fp32",
isVisionModel: true,
supportsWorker: true,
Expand Down