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Update tasks with new models and apps #1229

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Update tasks with new models and apps #1229

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merveenoyan
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cc @pcuenca @Vaibhavs10 when you get a bandwidth 🤝

@merveenoyan merveenoyan changed the title Update tasks with new models Update tasks with new models and apps Feb 26, 2025
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Nice! Thanks for the PR, left some suggestions and please revert the changes to hardware.ts

@@ -150,7 +150,7 @@ export const SKUS = {
},
"RTX 4090 Mobile": {
tflops: 32.98,
memory: [16]
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is this your linter? - maybe revert changes to this file or lint again?

},
{
description: "Strong image-text-to-text model focused on documents.",
id: "stepfun-ai/GOT-OCR2_0",
id: "allenai/olmOCR-7B-0225-preview",
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nice!

description: "Image-text-to-text model with reasoning capabilities.",
id: "Qwen/QVQ-72B-Preview",
description: "Image-text-to-text model with agentic capabilities.",
id: "microsoft/Magma-8B",
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Suggested change
id: "microsoft/Magma-8B",
id: "ibm-granite/granite-vision-3.2-2b",

Too much MSFT, showing variety in orgs is nice IMO

@@ -70,7 +70,7 @@ const taskData: TaskDataCustom = {
},
{
description: "A cutting-edge object detection application.",
id: "Ultralytics/YOLO11",
id: "sunsmarterjieleaf/yolov12",
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they are still making yolos lmao

@@ -76,7 +76,7 @@ const taskData: TaskDataCustom = {
},
{
description: "A very powerful model with reasoning capabilities.",
id: "PowerInfer/SmallThinker-3B-Preview",
id: "qihoo360/TinyR1-32B-Preview",
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bit dodgy - I'd skip this one and maybe keep the original one or use

Suggested change
id: "qihoo360/TinyR1-32B-Preview",
id: "simplescaling/s1.1-32B",

@@ -41,7 +41,7 @@ const taskData: TaskDataCustom = {
},
{
description: "A robust depth estimation model.",
id: "apple/DepthPro",
id: "apple/DepthPro-hf",
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oh yes!

@@ -27,6 +27,10 @@ const taskData: TaskDataCustom = {
description: "A robust keypoint detection model.",
id: "magic-leap-community/superpoint",
},
{
description: "A robust keypoint feature matching model.",
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Suggested change
description: "A robust keypoint feature matching model.",
description: "A robust keypoint matching model.",

},
{
description: "Fast and accurate object detection model trained on COCO and Object365 datasets.",
id: "PekingU/rtdetr_r18vd_coco_o365",
description: "Fast and accurate open-source object detection model.",
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dab-detr-resnet-50 is open source too, isn't it?

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3 participants