Image-to-Text
PyTorch
Safetensors
PEFT
English
remote-sensing
satellite-imagery
earth-observation
change-detection
visual-grounding
image-captioning
visual-question-answering
optical-sar-fusion
sar
multimodal
lora
Instructions to use thundercode/SatQuery with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thundercode/SatQuery with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
release: add models/manifest.json
Browse files- models/manifest.json +102 -0
models/manifest.json
ADDED
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| 1 |
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{
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| 2 |
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"schema": "satquery_model_manifest_v1",
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"generated_utc": "2026-09-25T18:15:38+00:00",
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"generator": "release/tools/generate_model_manifest.py",
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"note": "Generated by reading the files. No byte count or hash is typed by hand. Backbones are NOT redistributed; they are fetched from the Hugging Face Hub, pinned by revision.",
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"config_hash": "78f1e3700da15aa1",
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"release_repo": "thundercode/SatQuery",
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"artifact_count": 6,
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"artifacts": [
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{
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"id": "change_head",
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"task": "change",
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"kind": "trained_head",
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"path": "artifacts/change/levir_change_v001/head.pt",
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"hf_path": "change/head.pt",
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"backbone": null,
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"architecture": "STANet-style Siamese change detector (ResNet-18 + PAM)",
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"source_metric_artifact": "artifacts/change/eval_test/eval_result.json",
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"config_hash": "78f1e3700da15aa1",
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"bytes": 63231009,
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| 21 |
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"sha256": "c5ef31277b67aa01a593aec0eac503eeaccc6d674349fda20ca44c9cc6f8e9fa",
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| 22 |
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"status": "PRESENT",
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| 23 |
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"parameters": null
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| 24 |
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},
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| 25 |
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{
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| 26 |
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"id": "change_vqa_head",
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| 27 |
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"task": "change_vqa",
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| 28 |
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"kind": "trained_head",
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| 29 |
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"path": "artifacts/change_vqa/run/head.pt",
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| 30 |
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"hf_path": "change_vqa/head.pt",
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| 31 |
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"backbone": "STANet change detector (frozen, backing the head's change features)",
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| 32 |
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"architecture": "change_vqa_head_v1",
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| 33 |
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"source_metric_artifact": "artifacts/change_vqa/run/PROMOTION.json",
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| 34 |
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"config_hash": "78f1e3700da15aa1",
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| 35 |
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"bytes": 5822809,
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| 36 |
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"sha256": "cfae5e43b97ca930f568dc5b8ae4f36b24e9ff717af226159802206ffd63a82a",
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| 37 |
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"status": "PRESENT",
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| 38 |
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"parameters": 1453912
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| 39 |
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},
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| 40 |
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{
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| 41 |
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"id": "optical_sar_fusion_head",
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| 42 |
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"task": "optical_sar",
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| 43 |
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"kind": "trained_head",
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| 44 |
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"path": "artifacts/optical_sar/fusion_head_production_v001/head.pt",
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| 45 |
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"hf_path": "optical_sar/head.pt",
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| 46 |
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"backbone": "antofuller/CROMA (CROMA_base.pt, revision 0dd28e3d633b)",
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| 47 |
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"architecture": "CROMA-base fusion head (input_dim 2318 -> hidden 512 -> 19 classes)",
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| 48 |
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"source_metric_artifact": "artifacts/optical_sar/fusion_head_production_v001/pre_registered_115_metric.json",
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| 49 |
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"config_hash": "78f1e3700da15aa1",
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| 50 |
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"bytes": 14427457,
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| 51 |
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"sha256": "785815729a3a39fc34dc41894efaf00d8739365d970a3f830a326e68ae888dab",
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| 52 |
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"status": "PRESENT",
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| 53 |
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"parameters": null
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| 54 |
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},
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| 55 |
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{
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| 56 |
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"id": "grounding_head",
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| 57 |
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"task": "grounding",
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| 58 |
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"kind": "trained_head",
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| 59 |
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"path": "artifacts/grounding/remoteclip_grounding_v001/head.pt",
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| 60 |
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"hf_path": "grounding/head.pt",
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| 61 |
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"backbone": "chendelong/RemoteCLIP (RemoteCLIP-ViT-B-32.pt, revision bf1d8a3ccf2d)",
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| 62 |
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"architecture": "RemoteCLIP ViT-B/32 grounding head (feature_dim 2048, hidden 512)",
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| 63 |
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"source_metric_artifact": "artifacts/grounding/remoteclip_grounding_v001/eval_result_canonical.json",
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| 64 |
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"config_hash": "78f1e3700da15aa1",
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| 65 |
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"bytes": 12639041,
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| 66 |
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"sha256": "93432f7034be91a8ffd9c1a84e3eeec00bed7832c043fe7f83d2be230284c6bb",
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| 67 |
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"status": "PRESENT",
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| 68 |
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"parameters": null
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| 69 |
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},
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| 70 |
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{
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| 71 |
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"id": "router_adapter",
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| 72 |
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"task": "router",
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| 73 |
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"kind": "trained_adapter",
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"path": "artifacts/router/router_adapter_v001/adapter.pt",
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"hf_path": "router/adapter.pt",
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| 76 |
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"backbone": "sentence-transformers/all-MiniLM-L6-v2 (revision 1110a243fdf4)",
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| 77 |
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"architecture": "task/modality adapter over frozen MiniLM embeddings (~50,822 params)",
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| 78 |
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"source_metric_artifact": "artifacts/router/threshold_sweep_val.json",
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| 79 |
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"config_hash": "78f1e3700da15aa1",
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| 80 |
+
"bytes": 211961,
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| 81 |
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"sha256": "8527c3ed28a293e13293d48601d48e3ceafa137b9acabddaf5de31a58a509b5c",
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| 82 |
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"status": "PRESENT",
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| 83 |
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"parameters": null
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| 84 |
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},
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| 85 |
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{
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| 86 |
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"id": "vlm_lora_adapter",
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"task": "vlm",
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"kind": "lora_adapter",
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| 89 |
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"path": ".scratch/phase6_real_adapter/phase6_adapter/adapter_model.safetensors",
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| 90 |
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"hf_path": "vlm/adapter_model.safetensors",
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| 91 |
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"backbone": "HuggingFaceTB/SmolVLM-500M-Instruct (revision a7da5b986cb5)",
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| 92 |
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"architecture": "PEFT LoRA (r=16, alpha=32, dropout=0.05) on text_model projections",
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| 93 |
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"source_metric_artifact": "artifacts/vlm/phase6_closure.json",
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| 94 |
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"acceptance": "ACCEPTANCE-REJECTED (metrics usable; not promoted)",
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| 95 |
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"config_hash": "78f1e3700da15aa1",
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| 96 |
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"bytes": 34798048,
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| 97 |
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"sha256": "07c76a75fa04624880ed7730590f5fdd7b145a8232e3c0af411c3c545a5adf5e",
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| 98 |
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"status": "PRESENT",
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| 99 |
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"parameters": null
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| 100 |
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}
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| 101 |
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]
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| 102 |
+
}
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