Manifest after toyadmos-autoencoder

MANIFEST.json

@@ -1,5 +1,5 @@
 {
-  "updated_at": "2026-10-19T18:45:49.220965+00:00",
+  "updated_at": "2026-11-06T21:00:40.508425+00:00",
   "models": [
     {
       "name": "resnet-50",
@@ -232,6 +232,129 @@
         "vad-carla-tiny_head.onnx",
         "vad-carla-tiny_head_no_prev.onnx"
       ]
+    },
+    {
+      "name": "bevformer-tiny",
+      "source": "https://github.com/fundamentalvision/BEVFormer",
+      "method": "manual",
+      "note": "mmdet3d + deformable attention custom op; use the BEVFormer TensorRT/ONNX export tooling",
+      "status": "skipped_manual"
+    },
+    {
+      "name": "sparsedrive",
+      "source": "https://github.com/swc-17/SparseDrive",
+      "method": "manual",
+      "note": "custom deformable-aggregation op; needs repo-specific export",
+      "status": "skipped_manual"
+    },
+    {
+      "name": "vad-original",
+      "source": "https://github.com/hustvl/VAD",
+      "method": "manual",
+      "note": "mmdet3d-based; repo-specific export",
+      "status": "skipped_manual"
+    },
+    {
+      "name": "efficientvit-sam",
+      "source": "mit-han-lab/efficientvit-sam",
+      "method": "manual",
+      "note": "use the efficientvit repo's ONNX export (encoder and decoder separately)",
+      "status": "skipped_manual"
+    },
+    {
+      "name": "sam2.1-hiera-tiny",
+      "source": "facebook/sam2.1-hiera-tiny",
+      "method": "manual",
+      "note": "export image encoder and mask decoder separately (sam2 repo / sam2-onnx tooling)",
+      "status": "skipped_manual"
+    },
+    {
+      "name": "smolvla-450m",
+      "source": "lerobot/smolvla_base",
+      "method": "manual",
+      "note": "lerobot policy; vision encoder, VLM backbone and action expert exported as separate graphs",
+      "status": "skipped_manual"
+    },
+    {
+      "name": "toyadmos-autoencoder",
+      "source": "https://raw.githubusercontent.com/mlcommons/tiny/4addd0fa08d216e20637637874e084895f289da4/benchmark/training/anomaly_detection/trained_models/ad01.h5",
+      "method": "mlperf-tiny",
+      "note": "Export and publish with convert_and_push.py --only toyadmos-autoencoder; see docs/toyadmos.md",
+      "revision": "4addd0fa08d216e20637637874e084895f289da4",
+      "status": "converted",
+      "files": [
+        "model.onnx"
+      ]
+    },
+    {
+      "name": "llama-3.1-8b",
+      "source": "meta-llama/Llama-3.1-8B",
+      "method": "original",
+      "note": "gated - request access first",
+      "status": "skipped_original"
+    },
+    {
+      "name": "qwen3.5-0.8b",
+      "source": "Qwen/Qwen3.5-0.8B",
+      "method": "original",
+      "note": null,
+      "status": "skipped_original"
+    },
+    {
+      "name": "qwen3.5-4b",
+      "source": "Qwen/Qwen3.5-4B",
+      "method": "original",
+      "note": null,
+      "status": "skipped_original"
+    },
+    {
+      "name": "qwen3-vl-2b",
+      "source": "Qwen/Qwen3-VL-2B-Instruct",
+      "method": "original",
+      "note": null,
+      "status": "skipped_original"
+    },
+    {
+      "name": "qwen3-vl-4b",
+      "source": "Qwen/Qwen3-VL-4B-Instruct",
+      "method": "original",
+      "note": null,
+      "status": "skipped_original"
+    },
+    {
+      "name": "qwen3-vl-8b",
+      "source": "Qwen/Qwen3-VL-8B-Instruct",
+      "method": "original",
+      "note": null,
+      "status": "skipped_original"
+    },
+    {
+      "name": "smolvlm2-256m",
+      "source": "HuggingFaceTB/SmolVLM2-256M-Video-Instruct",
+      "method": "original",
+      "note": null,
+      "status": "skipped_original"
+    },
+    {
+      "name": "smolvlm2-500m",
+      "source": "HuggingFaceTB/SmolVLM2-500M-Video-Instruct",
+      "method": "original",
+      "note": null,
+      "status": "skipped_original"
+    },
+    {
+      "name": "smolvlm2-2.2b",
+      "source": "HuggingFaceTB/SmolVLM2-2.2B-Instruct",
+      "method": "original",
+      "note": null,
+      "status": "skipped_original"
+    },
+    {
+      "name": "openvla-7b",
+      "source": "openvla/openvla-7b",
+      "method": "original",
+      "note": null,
+      "status": "skipped_original"
     }
   ]
 }