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
|
Download RELEASE_MANIFEST.md from thundercode/SatQuery: direct link, hf CLI and curl.
- Browser
- Download file 12.5 kB
-
https://huggingface.co/thundercode/SatQuery/resolve/6df4c6ebaa2cfee7087723ec06fe4dee190b5634/RELEASE_MANIFEST.md
- Command line
-
hf download hf://thundercode/SatQuery@6df4c6ebaa2cfee7087723ec06fe4dee190b5634/RELEASE_MANIFEST.md
-
curl -L -o RELEASE_MANIFEST.md https://huggingface.co/thundercode/SatQuery/resolve/6df4c6ebaa2cfee7087723ec06fe4dee190b5634/RELEASE_MANIFEST.md
12.5 kB
| # Release Manifest | |
| **Repository:** `Anish-lab-blip/SatQuery-AI` (public) | |
| **Generated:** 2026-09-25T22:47:35+00:00 | |
| **Generator:** `release/tools/generate_release_manifest.py` (computed from disk, never typed) | |
| **Files:** 53 · **Total size:** 9,366,709 bytes (9147.2 KiB) | |
| Every file in this release, with its size and sha256. Verify a checkout with: | |
| ```bash | |
| # for each row: echo '<sha256> <path>' | sha256sum -c - | |
| ``` | |
| | # | Path | Bytes | sha256 | | |
| |---|---|---|---| | |
| | 1 | `HF_RELEASE_VERIFICATION.md` | 6,443 | `1d87487c2e9db5fb86781076c5061e2090077dbe90f8728f848eab0c615cf43e` | | |
| | 2 | `MODEL_CARD.md` | 57,166 | `d1ef979aa5cacd2271ebcafef343bd193f8bb2c201db79b0beb305de1b042d42` | | |
| | 3 | `README.md` | 88,433 | `87d0ad3fd4078613ab5ecad7e8949836a728371619095f16cb241ab9e222cbd6` | | |
| | 4 | `docs/API_CONTRACT.md` | 48,709 | `8a5f4d8635ee0d2149db491e3283cab14a55cadeb637ad5fb4f734eff4654fc9` | | |
| | 5 | `docs/ARCHITECTURE.md` | 7,672 | `60611ca515e98a96beeae7a39e150532b577561b144c964f4a9a9fd2d66e470d` | | |
| | 6 | `docs/BENCHMARKS.md` | 55,999 | `97cfe327793443f60c98e6948c1080a4fecab0cf721252f119deb20cc6736c09` | | |
| | 7 | `docs/CHANGELOG.md` | 36,879 | `c2bfa8609db63801af2c46c7b8ecffae26c1685f22bcbb5e8b458d541c8a8309` | | |
| | 8 | `docs/DATASETS.md` | 67,723 | `1aa5dc9715be4c94eb357d1066c79a6cc5d4c59ae4d587f249e3f1e66c1f628f` | | |
| | 9 | `docs/DATA_PIPELINE.md` | 66,285 | `24a543fd4ac270d0d58976dff1ab247610c4be7698a15f9380dbdf27c0f92c8b` | | |
| | 10 | `docs/DEPLOYMENT.md` | 45,603 | `ff2c9291dcc2eca7c0723eb3e6a8da3bd2da1f1c084a18b941414301a379bcdf` | | |
| | 11 | `docs/DEVELOPMENT.md` | 69,355 | `52731bd5b187b911ee09ba03b17937096c1c1562cd6e3592ccacefe7b4881bbb` | | |
| | 12 | `docs/EVALUATION.md` | 111,672 | `f35020b7a051409f1f53b7a1464eaa87252dd1dee6ea5bc378492e396063b48a` | | |
| | 13 | `docs/FRONTEND.md` | 73,926 | `bb2f8b2fb7388329c526f9e2e3fa23dff9df21f86ef2751867d045b50dc6e9d4` | | |
| | 14 | `docs/GEOSPATIAL.md` | 92,888 | `ff2753fa10b5db4971ae949c828b7ecb5909b8ad9ed6bed287864ab23d7f0d6c` | | |
| | 15 | `docs/GLOSSARY.md` | 40,998 | `81f1a86d721e6517893bb56e5408b4315dd38a6b214e0f79f840b5ea9f8fc754` | | |
| | 16 | `docs/LIMITATIONS.md` | 40,805 | `1205aab110bc0f34140d314ea6c2e723f37c973313d86339f8f7275a2bbed170` | | |
| | 17 | `docs/MASTER_ARCHITECTURE_PLAN.md` | 65,304 | `64169e36069c777ad8d28501d7e6228af30fff5bd69d3b55806c38b11dc9365b` | | |
| | 18 | `docs/MODELS.md` | 103,145 | `5a3b166035a2ee9ea53f5aa3a2f751045494562181bba8f8a85f7babba063d6f` | | |
| | 19 | `docs/OPERATIONS.md` | 62,268 | `53ab5d5cb1686ba0e43abdde163dc2912b0fb860dc6e8081d192a01d7f184016` | | |
| | 20 | `docs/PERFORMANCE.md` | 52,946 | `5c079ac08b7dc765af82a3dbf95e067b8797c8f9a30d23df9977252087c7fdee` | | |
| | 21 | `docs/REPRODUCIBILITY.md` | 65,200 | `28caf713d81ca516d9a5537e80c55aed8188a35797cf8917823097c561c641a4` | | |
| | 22 | `docs/RESEARCH_NOTES.md` | 41,248 | `321226af9aaa903135730ea7a8a4e18a8d1999bdf30ff67b19417e34ab453651` | | |
| | 23 | `docs/SECURITY.md` | 114,342 | `7841f002f14a7b341dbebf10a46dfa7c6ff3e12918e29cb619e5411b88407e3f` | | |
| | 24 | `docs/SERVING.md` | 75,797 | `cd590b26c3f085dae29fa4f91b5f9ce93337f0b8a5a31d4f2ccad895babe0896` | | |
| | 25 | `docs/TESTING.md` | 96,897 | `18745a84e1d98fcfa5498c586c9af1cc9dc8688351ac37ca4f8c11a1be9550e5` | | |
| | 26 | `docs/TRAINING.md` | 90,697 | `7575748b37006b6353f511059ddf7c29cd210d84b47ec702b10eefc7297453f1` | | |
| | 27 | `docs/architecture/01-system-overview.md` | 8,376 | `8df172840fcb5782b6d34665c32b061e4e345ce0957aa5804721340725c89913` | | |
| | 28 | `docs/architecture/02-deployment-topology.md` | 85,979 | `0c7945e9bc1a54ba1982daae20dea40c79bd24544e7fba0b3fa42da61f37fb15` | | |
| | 29 | `docs/architecture/03-request-lifecycle.md` | 130,175 | `cec5e819e40686158cbf86e864a63022a029fc5497c04afac5e2648c678e0815` | | |
| | 30 | `docs/architecture/04-router.md` | 262,652 | `48fda335045b4396b97002fca2e3e46af9206cf70276fcb31fa9967c14363db3` | | |
| | 31 | `docs/architecture/05-specialists.md` | 252,171 | `2966131b2adcbe7e07e0126508dff8d5c4eaa898c750b64e30fd44effe33b1b4` | | |
| | 32 | `docs/architecture/06-evidence-and-confidence.md` | 108,044 | `8ea1fe799d9af0ef7abb1face1048633834e28903c0bb21e9788236b440a9daa` | | |
| | 33 | `docs/architecture/07-configuration-freeze.md` | 106,023 | `d46b779fdebdbe73036eff8092b1336fd2f2974d47bd1fa3e14b11bbe5a231ff` | | |
| | 34 | `docs/architecture/08-api-contract.md` | 127,341 | `357bfa8c518d2feead36252d8e9d46d183460497e87d68fe175cda2230ba310f` | | |
| | 35 | `docs/architecture/09-frontend.md` | 78,287 | `8d38bd2f2208271c533695feb22e67ea00bd529ede9cf2b5eb928a52d9bb5760` | | |
| | 36 | `docs/architecture/10-observability-and-ops.md` | 104,695 | `4e660a6358d7a317ed2d49f3370919bec6cd233305f2795254bc3f4944a2438a` | | |
| | 37 | `models/checksums.sha256` | 642 | `f177e6fbc807868141378a75f36ca07cb01a8f859d9f80f1935fbf396ddf5380` | | |
| | 38 | `models/manifest.json` | 4,458 | `ae1f55cf906095e089c769efb774a8461dc20b7076752e7fbae1091255f38eb0` | | |
| | 39 | `screenshots/analyze-caption.png` | 890,381 | `428abb8edff78812f2e1cfb23965f00572e89d741f6fd56bf6c5f3d4d500293f` | | |
| | 40 | `screenshots/analyze-change-vqa.png` | 694,618 | `0ddb4e6043443119db98ad4a70c637aacb27ec2404959f111bbe58c80c009e47` | | |
| | 41 | `screenshots/analyze-change.png` | 445,200 | `a833e4e975c70659769f499525b6182a0bfb17f1fad3d213e9f303954a9ada87` | | |
| | 42 | `screenshots/analyze-grounding-buildings.png` | 1,036,080 | `9714f51020b224271f22a3be44fedb94f7c3b532cca68ba32179debb7edcb604` | | |
| | 43 | `screenshots/analyze-grounding-new-airport.png` | 1,042,892 | `5d5af7d23c9f8c1f3724cb7775f1873f199442d1afbfa3726a43495780052555` | | |
| | 44 | `screenshots/analyze-grounding.png` | 1,035,183 | `b3199b55ea819d4955fcc713311c8fcb475f069aa99966e8fd577f21a16d184b` | | |
| | 45 | `screenshots/analyze-optical-sar.png` | 131,330 | `6006c8b35217904bfe1042137c22de4d8765bc57b1efb418a131df9ce8477b94` | | |
| | 46 | `screenshots/analyze-vqa.png` | 1,104,701 | `7ee1d95fa1fb29fce86cf4a3545a8fa8811dbe4c18af3acc7816838b1412ad62` | | |
| | 47 | `tools/build_archive.py` | 8,351 | `73574bb0ec85d5f7505b51661021f844dfd43cd13fafc802f75aa3835dd6a1ae` | | |
| | 48 | `tools/generate_model_manifest.py` | 6,868 | `f445a43c888a30fcd868d810f1cacf8e682e8ed331755c661de2c29fb8d59550` | | |
| | 49 | `tools/generate_release_manifest.py` | 4,100 | `9facdcd4a3a5d23adbaccf34c4c7a89d661e1bed47e7da5dc6977181a8ac5884` | | |
| | 50 | `tools/hf_verify.py` | 3,878 | `e6e59312bb9d20e103d7bd57b1924cc6fae0a4d1a552a2dd2fdbcce80885e86e` | | |
| | 51 | `tools/readme_metrics_report.txt` | 4,027 | `25108a07f671b8a33e5c312a81ce9d18e7a9c06b4955fb137a0f62e20c5bb2dc` | | |
| | 52 | `tools/verify_archive.py` | 4,946 | `babb44dbb60497172a70d0b3c4abc26520bd0e37ef06c215e3f016f0d25a1abf` | | |
| | 53 | `tools/verify_readme_metrics.py` | 6,911 | `0ce1273aa5f847a56a38a4ca6601f50648d19cc1637394509ce5a9f1309ea388` | | |
| ## Machine-readable listing | |
| ``` | |
| 1d87487c2e9db5fb86781076c5061e2090077dbe90f8728f848eab0c615cf43e HF_RELEASE_VERIFICATION.md | |
| d1ef979aa5cacd2271ebcafef343bd193f8bb2c201db79b0beb305de1b042d42 MODEL_CARD.md | |
| 87d0ad3fd4078613ab5ecad7e8949836a728371619095f16cb241ab9e222cbd6 README.md | |
| 8a5f4d8635ee0d2149db491e3283cab14a55cadeb637ad5fb4f734eff4654fc9 docs/API_CONTRACT.md | |
| 60611ca515e98a96beeae7a39e150532b577561b144c964f4a9a9fd2d66e470d docs/ARCHITECTURE.md | |
| 97cfe327793443f60c98e6948c1080a4fecab0cf721252f119deb20cc6736c09 docs/BENCHMARKS.md | |
| c2bfa8609db63801af2c46c7b8ecffae26c1685f22bcbb5e8b458d541c8a8309 docs/CHANGELOG.md | |
| 1aa5dc9715be4c94eb357d1066c79a6cc5d4c59ae4d587f249e3f1e66c1f628f docs/DATASETS.md | |
| 24a543fd4ac270d0d58976dff1ab247610c4be7698a15f9380dbdf27c0f92c8b docs/DATA_PIPELINE.md | |
| ff2c9291dcc2eca7c0723eb3e6a8da3bd2da1f1c084a18b941414301a379bcdf docs/DEPLOYMENT.md | |
| 52731bd5b187b911ee09ba03b17937096c1c1562cd6e3592ccacefe7b4881bbb docs/DEVELOPMENT.md | |
| f35020b7a051409f1f53b7a1464eaa87252dd1dee6ea5bc378492e396063b48a docs/EVALUATION.md | |
| bb2f8b2fb7388329c526f9e2e3fa23dff9df21f86ef2751867d045b50dc6e9d4 docs/FRONTEND.md | |
| ff2753fa10b5db4971ae949c828b7ecb5909b8ad9ed6bed287864ab23d7f0d6c docs/GEOSPATIAL.md | |
| 81f1a86d721e6517893bb56e5408b4315dd38a6b214e0f79f840b5ea9f8fc754 docs/GLOSSARY.md | |
| 1205aab110bc0f34140d314ea6c2e723f37c973313d86339f8f7275a2bbed170 docs/LIMITATIONS.md | |
| 64169e36069c777ad8d28501d7e6228af30fff5bd69d3b55806c38b11dc9365b docs/MASTER_ARCHITECTURE_PLAN.md | |
| 5a3b166035a2ee9ea53f5aa3a2f751045494562181bba8f8a85f7babba063d6f docs/MODELS.md | |
| 53ab5d5cb1686ba0e43abdde163dc2912b0fb860dc6e8081d192a01d7f184016 docs/OPERATIONS.md | |
| 5c079ac08b7dc765af82a3dbf95e067b8797c8f9a30d23df9977252087c7fdee docs/PERFORMANCE.md | |
| 28caf713d81ca516d9a5537e80c55aed8188a35797cf8917823097c561c641a4 docs/REPRODUCIBILITY.md | |
| 321226af9aaa903135730ea7a8a4e18a8d1999bdf30ff67b19417e34ab453651 docs/RESEARCH_NOTES.md | |
| 7841f002f14a7b341dbebf10a46dfa7c6ff3e12918e29cb619e5411b88407e3f docs/SECURITY.md | |
| cd590b26c3f085dae29fa4f91b5f9ce93337f0b8a5a31d4f2ccad895babe0896 docs/SERVING.md | |
| 18745a84e1d98fcfa5498c586c9af1cc9dc8688351ac37ca4f8c11a1be9550e5 docs/TESTING.md | |
| 7575748b37006b6353f511059ddf7c29cd210d84b47ec702b10eefc7297453f1 docs/TRAINING.md | |
| 8df172840fcb5782b6d34665c32b061e4e345ce0957aa5804721340725c89913 docs/architecture/01-system-overview.md | |
| 0c7945e9bc1a54ba1982daae20dea40c79bd24544e7fba0b3fa42da61f37fb15 docs/architecture/02-deployment-topology.md | |
| cec5e819e40686158cbf86e864a63022a029fc5497c04afac5e2648c678e0815 docs/architecture/03-request-lifecycle.md | |
| 48fda335045b4396b97002fca2e3e46af9206cf70276fcb31fa9967c14363db3 docs/architecture/04-router.md | |
| 2966131b2adcbe7e07e0126508dff8d5c4eaa898c750b64e30fd44effe33b1b4 docs/architecture/05-specialists.md | |
| 8ea1fe799d9af0ef7abb1face1048633834e28903c0bb21e9788236b440a9daa docs/architecture/06-evidence-and-confidence.md | |
| d46b779fdebdbe73036eff8092b1336fd2f2974d47bd1fa3e14b11bbe5a231ff docs/architecture/07-configuration-freeze.md | |
| 357bfa8c518d2feead36252d8e9d46d183460497e87d68fe175cda2230ba310f docs/architecture/08-api-contract.md | |
| 8d38bd2f2208271c533695feb22e67ea00bd529ede9cf2b5eb928a52d9bb5760 docs/architecture/09-frontend.md | |
| 4e660a6358d7a317ed2d49f3370919bec6cd233305f2795254bc3f4944a2438a docs/architecture/10-observability-and-ops.md | |
| f177e6fbc807868141378a75f36ca07cb01a8f859d9f80f1935fbf396ddf5380 models/checksums.sha256 | |
| ae1f55cf906095e089c769efb774a8461dc20b7076752e7fbae1091255f38eb0 models/manifest.json | |
| 428abb8edff78812f2e1cfb23965f00572e89d741f6fd56bf6c5f3d4d500293f screenshots/analyze-caption.png | |
| 0ddb4e6043443119db98ad4a70c637aacb27ec2404959f111bbe58c80c009e47 screenshots/analyze-change-vqa.png | |
| a833e4e975c70659769f499525b6182a0bfb17f1fad3d213e9f303954a9ada87 screenshots/analyze-change.png | |
| 9714f51020b224271f22a3be44fedb94f7c3b532cca68ba32179debb7edcb604 screenshots/analyze-grounding-buildings.png | |
| 5d5af7d23c9f8c1f3724cb7775f1873f199442d1afbfa3726a43495780052555 screenshots/analyze-grounding-new-airport.png | |
| b3199b55ea819d4955fcc713311c8fcb475f069aa99966e8fd577f21a16d184b screenshots/analyze-grounding.png | |
| 6006c8b35217904bfe1042137c22de4d8765bc57b1efb418a131df9ce8477b94 screenshots/analyze-optical-sar.png | |
| 7ee1d95fa1fb29fce86cf4a3545a8fa8811dbe4c18af3acc7816838b1412ad62 screenshots/analyze-vqa.png | |
| 73574bb0ec85d5f7505b51661021f844dfd43cd13fafc802f75aa3835dd6a1ae tools/build_archive.py | |
| f445a43c888a30fcd868d810f1cacf8e682e8ed331755c661de2c29fb8d59550 tools/generate_model_manifest.py | |
| 9facdcd4a3a5d23adbaccf34c4c7a89d661e1bed47e7da5dc6977181a8ac5884 tools/generate_release_manifest.py | |
| e6e59312bb9d20e103d7bd57b1924cc6fae0a4d1a552a2dd2fdbcce80885e86e tools/hf_verify.py | |
| 25108a07f671b8a33e5c312a81ce9d18e7a9c06b4955fb137a0f62e20c5bb2dc tools/readme_metrics_report.txt | |
| babb44dbb60497172a70d0b3c4abc26520bd0e37ef06c215e3f016f0d25a1abf tools/verify_archive.py | |
| 0ce1273aa5f847a56a38a4ca6601f50648d19cc1637394509ce5a9f1309ea388 tools/verify_readme_metrics.py | |
| ``` | |
| ## Contents summary | |
| | Area | What it is | | |
| |---|---| | |
| | `README.md` | the repository front page | | |
| | `MODEL_CARD.md` | model card for the six trained artifacts | | |
| | `docs/` | the research + engineering documentation set | | |
| | `docs/architecture/` | the deep architecture reference (multi-part) | | |
| | `models/manifest.json` | generated manifest of the six trained artifacts | | |
| | `models/checksums.sha256` | generated checksums for the six trained artifacts | | |
| | `screenshots/` | real live-run captures | | |
| ## What this release deliberately does NOT contain | |
| - **Backbone weights.** They are fetched from the Hugging Face Hub, pinned by revision. | |
| - **Secrets.** No tokens, keys, or environment files. | |
| - **The private deployment repositories.** Their sources are not published here. | |
| - **Datasets.** Acquisition procedures are documented; the data is not redistributed. | |
| - **A licence file.** None has been selected yet — this is an OPEN item. | |