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 RELEASE_MANIFEST.md
Browse files- RELEASE_MANIFEST.md +125 -0
RELEASE_MANIFEST.md
ADDED
|
@@ -0,0 +1,125 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Release Manifest
|
| 2 |
+
|
| 3 |
+
**Repository:** `Anish-lab-blip/SatQuery-AI` (public)
|
| 4 |
+
**Generated:** 2026-09-25T21:45:45+00:00
|
| 5 |
+
**Generator:** `release/tools/generate_release_manifest.py` (computed from disk, never typed)
|
| 6 |
+
|
| 7 |
+
**Files:** 42 · **Total size:** 8,400,869 bytes (8204.0 KiB)
|
| 8 |
+
|
| 9 |
+
Every file in this release, with its size and sha256. Verify a checkout with:
|
| 10 |
+
|
| 11 |
+
```bash
|
| 12 |
+
# for each row: echo '<sha256> <path>' | sha256sum -c -
|
| 13 |
+
```
|
| 14 |
+
|
| 15 |
+
| # | Path | Bytes | sha256 |
|
| 16 |
+
|---|---|---|---|
|
| 17 |
+
| 1 | `HF_RELEASE_VERIFICATION.md` | 6,281 | `cbfcf3fc7c887f2022fc74fb4bc8d8600a5350af872dd79ba0c5a7c6781127e0` |
|
| 18 |
+
| 2 | `MODEL_CARD.md` | 7,002 | `438c39820086ff3bd3977a3b62a51e82d3fa14b992c23232748ac6c7c8453f6a` |
|
| 19 |
+
| 3 | `README.md` | 86,336 | `ea953855bd393f9c046c0eaea22dfc7fa07e72251158e1d6ae715426bb140224` |
|
| 20 |
+
| 4 | `docs/ARCHITECTURE.md` | 7,672 | `60611ca515e98a96beeae7a39e150532b577561b144c964f4a9a9fd2d66e470d` |
|
| 21 |
+
| 5 | `docs/BENCHMARKS.md` | 55,999 | `97cfe327793443f60c98e6948c1080a4fecab0cf721252f119deb20cc6736c09` |
|
| 22 |
+
| 6 | `docs/CHANGELOG.md` | 9,619 | `811592fc4b094f9fd3f0c4bcdddeb296b40cae828fe27040daaf9b09d183a5fe` |
|
| 23 |
+
| 7 | `docs/DATASETS.md` | 67,723 | `1aa5dc9715be4c94eb357d1066c79a6cc5d4c59ae4d587f249e3f1e66c1f628f` |
|
| 24 |
+
| 8 | `docs/DEPLOYMENT.md` | 16,041 | `69be7f58ca2a818e9f5ce92a0d8b9a347ae21f0f99b75df08e9df7801c0bf3ac` |
|
| 25 |
+
| 9 | `docs/EVALUATION.md` | 111,672 | `f35020b7a051409f1f53b7a1464eaa87252dd1dee6ea5bc378492e396063b48a` |
|
| 26 |
+
| 10 | `docs/LIMITATIONS.md` | 8,356 | `70dd5d9c7425793c27549aacc947894c0b73a3aec728e9fb2c59d460e71e5a34` |
|
| 27 |
+
| 11 | `docs/MASTER_ARCHITECTURE_PLAN.md` | 65,304 | `64169e36069c777ad8d28501d7e6228af30fff5bd69d3b55806c38b11dc9365b` |
|
| 28 |
+
| 12 | `docs/MODELS.md` | 103,145 | `5a3b166035a2ee9ea53f5aa3a2f751045494562181bba8f8a85f7babba063d6f` |
|
| 29 |
+
| 13 | `docs/REPRODUCIBILITY.md` | 65,200 | `28caf713d81ca516d9a5537e80c55aed8188a35797cf8917823097c561c641a4` |
|
| 30 |
+
| 14 | `docs/RESEARCH_NOTES.md` | 11,513 | `e76d6008c11e3f97dab24522072db2f72242ec9bd69da3cedfdd874370102992` |
|
| 31 |
+
| 15 | `docs/TRAINING.md` | 90,697 | `7575748b37006b6353f511059ddf7c29cd210d84b47ec702b10eefc7297453f1` |
|
| 32 |
+
| 16 | `docs/architecture/01-system-overview.md` | 8,376 | `8df172840fcb5782b6d34665c32b061e4e345ce0957aa5804721340725c89913` |
|
| 33 |
+
| 17 | `docs/architecture/02-deployment-topology.md` | 85,979 | `0c7945e9bc1a54ba1982daae20dea40c79bd24544e7fba0b3fa42da61f37fb15` |
|
| 34 |
+
| 18 | `docs/architecture/03-request-lifecycle.md` | 130,175 | `cec5e819e40686158cbf86e864a63022a029fc5497c04afac5e2648c678e0815` |
|
| 35 |
+
| 19 | `docs/architecture/04-router.md` | 262,652 | `48fda335045b4396b97002fca2e3e46af9206cf70276fcb31fa9967c14363db3` |
|
| 36 |
+
| 20 | `docs/architecture/05-specialists.md` | 252,171 | `2966131b2adcbe7e07e0126508dff8d5c4eaa898c750b64e30fd44effe33b1b4` |
|
| 37 |
+
| 21 | `docs/architecture/06-evidence-and-confidence.md` | 108,044 | `8ea1fe799d9af0ef7abb1face1048633834e28903c0bb21e9788236b440a9daa` |
|
| 38 |
+
| 22 | `docs/architecture/07-configuration-freeze.md` | 106,023 | `d46b779fdebdbe73036eff8092b1336fd2f2974d47bd1fa3e14b11bbe5a231ff` |
|
| 39 |
+
| 23 | `docs/architecture/08-api-contract.md` | 127,341 | `357bfa8c518d2feead36252d8e9d46d183460497e87d68fe175cda2230ba310f` |
|
| 40 |
+
| 24 | `docs/architecture/09-frontend.md` | 78,287 | `8d38bd2f2208271c533695feb22e67ea00bd529ede9cf2b5eb928a52d9bb5760` |
|
| 41 |
+
| 25 | `docs/architecture/10-observability-and-ops.md` | 104,695 | `4e660a6358d7a317ed2d49f3370919bec6cd233305f2795254bc3f4944a2438a` |
|
| 42 |
+
| 26 | `models/checksums.sha256` | 642 | `f177e6fbc807868141378a75f36ca07cb01a8f859d9f80f1935fbf396ddf5380` |
|
| 43 |
+
| 27 | `models/manifest.json` | 4,458 | `ae1f55cf906095e089c769efb774a8461dc20b7076752e7fbae1091255f38eb0` |
|
| 44 |
+
| 28 | `screenshots/analyze-caption.png` | 890,381 | `428abb8edff78812f2e1cfb23965f00572e89d741f6fd56bf6c5f3d4d500293f` |
|
| 45 |
+
| 29 | `screenshots/analyze-change-vqa.png` | 694,618 | `0ddb4e6043443119db98ad4a70c637aacb27ec2404959f111bbe58c80c009e47` |
|
| 46 |
+
| 30 | `screenshots/analyze-change.png` | 445,200 | `a833e4e975c70659769f499525b6182a0bfb17f1fad3d213e9f303954a9ada87` |
|
| 47 |
+
| 31 | `screenshots/analyze-grounding-buildings.png` | 1,036,080 | `9714f51020b224271f22a3be44fedb94f7c3b532cca68ba32179debb7edcb604` |
|
| 48 |
+
| 32 | `screenshots/analyze-grounding-new-airport.png` | 1,042,892 | `5d5af7d23c9f8c1f3724cb7775f1873f199442d1afbfa3726a43495780052555` |
|
| 49 |
+
| 33 | `screenshots/analyze-grounding.png` | 1,035,183 | `b3199b55ea819d4955fcc713311c8fcb475f069aa99966e8fd577f21a16d184b` |
|
| 50 |
+
| 34 | `screenshots/analyze-optical-sar.png` | 131,330 | `6006c8b35217904bfe1042137c22de4d8765bc57b1efb418a131df9ce8477b94` |
|
| 51 |
+
| 35 | `screenshots/analyze-vqa.png` | 1,104,701 | `7ee1d95fa1fb29fce86cf4a3545a8fa8811dbe4c18af3acc7816838b1412ad62` |
|
| 52 |
+
| 36 | `tools/build_archive.py` | 8,351 | `73574bb0ec85d5f7505b51661021f844dfd43cd13fafc802f75aa3835dd6a1ae` |
|
| 53 |
+
| 37 | `tools/generate_model_manifest.py` | 6,868 | `f445a43c888a30fcd868d810f1cacf8e682e8ed331755c661de2c29fb8d59550` |
|
| 54 |
+
| 38 | `tools/generate_release_manifest.py` | 4,100 | `9facdcd4a3a5d23adbaccf34c4c7a89d661e1bed47e7da5dc6977181a8ac5884` |
|
| 55 |
+
| 39 | `tools/hf_verify.py` | 3,878 | `e6e59312bb9d20e103d7bd57b1924cc6fae0a4d1a552a2dd2fdbcce80885e86e` |
|
| 56 |
+
| 40 | `tools/readme_metrics_report.txt` | 4,027 | `25108a07f671b8a33e5c312a81ce9d18e7a9c06b4955fb137a0f62e20c5bb2dc` |
|
| 57 |
+
| 41 | `tools/verify_archive.py` | 4,946 | `babb44dbb60497172a70d0b3c4abc26520bd0e37ef06c215e3f016f0d25a1abf` |
|
| 58 |
+
| 42 | `tools/verify_readme_metrics.py` | 6,911 | `0ce1273aa5f847a56a38a4ca6601f50648d19cc1637394509ce5a9f1309ea388` |
|
| 59 |
+
|
| 60 |
+
## Machine-readable listing
|
| 61 |
+
|
| 62 |
+
```
|
| 63 |
+
cbfcf3fc7c887f2022fc74fb4bc8d8600a5350af872dd79ba0c5a7c6781127e0 HF_RELEASE_VERIFICATION.md
|
| 64 |
+
438c39820086ff3bd3977a3b62a51e82d3fa14b992c23232748ac6c7c8453f6a MODEL_CARD.md
|
| 65 |
+
ea953855bd393f9c046c0eaea22dfc7fa07e72251158e1d6ae715426bb140224 README.md
|
| 66 |
+
60611ca515e98a96beeae7a39e150532b577561b144c964f4a9a9fd2d66e470d docs/ARCHITECTURE.md
|
| 67 |
+
97cfe327793443f60c98e6948c1080a4fecab0cf721252f119deb20cc6736c09 docs/BENCHMARKS.md
|
| 68 |
+
811592fc4b094f9fd3f0c4bcdddeb296b40cae828fe27040daaf9b09d183a5fe docs/CHANGELOG.md
|
| 69 |
+
1aa5dc9715be4c94eb357d1066c79a6cc5d4c59ae4d587f249e3f1e66c1f628f docs/DATASETS.md
|
| 70 |
+
69be7f58ca2a818e9f5ce92a0d8b9a347ae21f0f99b75df08e9df7801c0bf3ac docs/DEPLOYMENT.md
|
| 71 |
+
f35020b7a051409f1f53b7a1464eaa87252dd1dee6ea5bc378492e396063b48a docs/EVALUATION.md
|
| 72 |
+
70dd5d9c7425793c27549aacc947894c0b73a3aec728e9fb2c59d460e71e5a34 docs/LIMITATIONS.md
|
| 73 |
+
64169e36069c777ad8d28501d7e6228af30fff5bd69d3b55806c38b11dc9365b docs/MASTER_ARCHITECTURE_PLAN.md
|
| 74 |
+
5a3b166035a2ee9ea53f5aa3a2f751045494562181bba8f8a85f7babba063d6f docs/MODELS.md
|
| 75 |
+
28caf713d81ca516d9a5537e80c55aed8188a35797cf8917823097c561c641a4 docs/REPRODUCIBILITY.md
|
| 76 |
+
e76d6008c11e3f97dab24522072db2f72242ec9bd69da3cedfdd874370102992 docs/RESEARCH_NOTES.md
|
| 77 |
+
7575748b37006b6353f511059ddf7c29cd210d84b47ec702b10eefc7297453f1 docs/TRAINING.md
|
| 78 |
+
8df172840fcb5782b6d34665c32b061e4e345ce0957aa5804721340725c89913 docs/architecture/01-system-overview.md
|
| 79 |
+
0c7945e9bc1a54ba1982daae20dea40c79bd24544e7fba0b3fa42da61f37fb15 docs/architecture/02-deployment-topology.md
|
| 80 |
+
cec5e819e40686158cbf86e864a63022a029fc5497c04afac5e2648c678e0815 docs/architecture/03-request-lifecycle.md
|
| 81 |
+
48fda335045b4396b97002fca2e3e46af9206cf70276fcb31fa9967c14363db3 docs/architecture/04-router.md
|
| 82 |
+
2966131b2adcbe7e07e0126508dff8d5c4eaa898c750b64e30fd44effe33b1b4 docs/architecture/05-specialists.md
|
| 83 |
+
8ea1fe799d9af0ef7abb1face1048633834e28903c0bb21e9788236b440a9daa docs/architecture/06-evidence-and-confidence.md
|
| 84 |
+
d46b779fdebdbe73036eff8092b1336fd2f2974d47bd1fa3e14b11bbe5a231ff docs/architecture/07-configuration-freeze.md
|
| 85 |
+
357bfa8c518d2feead36252d8e9d46d183460497e87d68fe175cda2230ba310f docs/architecture/08-api-contract.md
|
| 86 |
+
8d38bd2f2208271c533695feb22e67ea00bd529ede9cf2b5eb928a52d9bb5760 docs/architecture/09-frontend.md
|
| 87 |
+
4e660a6358d7a317ed2d49f3370919bec6cd233305f2795254bc3f4944a2438a docs/architecture/10-observability-and-ops.md
|
| 88 |
+
f177e6fbc807868141378a75f36ca07cb01a8f859d9f80f1935fbf396ddf5380 models/checksums.sha256
|
| 89 |
+
ae1f55cf906095e089c769efb774a8461dc20b7076752e7fbae1091255f38eb0 models/manifest.json
|
| 90 |
+
428abb8edff78812f2e1cfb23965f00572e89d741f6fd56bf6c5f3d4d500293f screenshots/analyze-caption.png
|
| 91 |
+
0ddb4e6043443119db98ad4a70c637aacb27ec2404959f111bbe58c80c009e47 screenshots/analyze-change-vqa.png
|
| 92 |
+
a833e4e975c70659769f499525b6182a0bfb17f1fad3d213e9f303954a9ada87 screenshots/analyze-change.png
|
| 93 |
+
9714f51020b224271f22a3be44fedb94f7c3b532cca68ba32179debb7edcb604 screenshots/analyze-grounding-buildings.png
|
| 94 |
+
5d5af7d23c9f8c1f3724cb7775f1873f199442d1afbfa3726a43495780052555 screenshots/analyze-grounding-new-airport.png
|
| 95 |
+
b3199b55ea819d4955fcc713311c8fcb475f069aa99966e8fd577f21a16d184b screenshots/analyze-grounding.png
|
| 96 |
+
6006c8b35217904bfe1042137c22de4d8765bc57b1efb418a131df9ce8477b94 screenshots/analyze-optical-sar.png
|
| 97 |
+
7ee1d95fa1fb29fce86cf4a3545a8fa8811dbe4c18af3acc7816838b1412ad62 screenshots/analyze-vqa.png
|
| 98 |
+
73574bb0ec85d5f7505b51661021f844dfd43cd13fafc802f75aa3835dd6a1ae tools/build_archive.py
|
| 99 |
+
f445a43c888a30fcd868d810f1cacf8e682e8ed331755c661de2c29fb8d59550 tools/generate_model_manifest.py
|
| 100 |
+
9facdcd4a3a5d23adbaccf34c4c7a89d661e1bed47e7da5dc6977181a8ac5884 tools/generate_release_manifest.py
|
| 101 |
+
e6e59312bb9d20e103d7bd57b1924cc6fae0a4d1a552a2dd2fdbcce80885e86e tools/hf_verify.py
|
| 102 |
+
25108a07f671b8a33e5c312a81ce9d18e7a9c06b4955fb137a0f62e20c5bb2dc tools/readme_metrics_report.txt
|
| 103 |
+
babb44dbb60497172a70d0b3c4abc26520bd0e37ef06c215e3f016f0d25a1abf tools/verify_archive.py
|
| 104 |
+
0ce1273aa5f847a56a38a4ca6601f50648d19cc1637394509ce5a9f1309ea388 tools/verify_readme_metrics.py
|
| 105 |
+
```
|
| 106 |
+
|
| 107 |
+
## Contents summary
|
| 108 |
+
|
| 109 |
+
| Area | What it is |
|
| 110 |
+
|---|---|
|
| 111 |
+
| `README.md` | the repository front page |
|
| 112 |
+
| `MODEL_CARD.md` | model card for the six trained artifacts |
|
| 113 |
+
| `docs/` | the research + engineering documentation set |
|
| 114 |
+
| `docs/architecture/` | the deep architecture reference (multi-part) |
|
| 115 |
+
| `models/manifest.json` | generated manifest of the six trained artifacts |
|
| 116 |
+
| `models/checksums.sha256` | generated checksums for the six trained artifacts |
|
| 117 |
+
| `screenshots/` | real live-run captures |
|
| 118 |
+
|
| 119 |
+
## What this release deliberately does NOT contain
|
| 120 |
+
|
| 121 |
+
- **Backbone weights.** They are fetched from the Hugging Face Hub, pinned by revision.
|
| 122 |
+
- **Secrets.** No tokens, keys, or environment files.
|
| 123 |
+
- **The private deployment repositories.** Their sources are not published here.
|
| 124 |
+
- **Datasets.** Acquisition procedures are documented; the data is not redistributed.
|
| 125 |
+
- **A licence file.** None has been selected yet — this is an OPEN item.
|