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 Manifest
Repository: Anish-lab-blip/SatQuery-AI (public)
Generated: 2026-09-25T23:09:39+00:00
Generator: release/tools/generate_release_manifest.py (computed from disk, never typed)
Files: 52 · Total size: 9,320,442 bytes (9102.0 KiB)
Every file in this release, with its size and sha256. Verify a checkout with:
# for each row: echo '<sha256> <path>' | sha256sum -c -
| # | Path | Bytes | sha256 |
|---|---|---|---|
| 1 | HF_RELEASE_VERIFICATION.md |
6,443 | 1d87487c2e9db5fb86781076c5061e2090077dbe90f8728f848eab0c615cf43e |
| 2 | MODEL_CARD.md |
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| 3 | README.md |
90,925 | a4e0f99f215bb1daf8533593ad049a7f4c4458e52d4b3807c7c5abe8fc2e1a17 |
| 4 | docs/BENCHMARKS.md |
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| 5 | docs/CHANGELOG.md |
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| 6 | docs/DATASETS.md |
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| 7 | docs/DATA_PIPELINE.md |
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| 8 | docs/DEPLOYMENT.md |
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| 9 | docs/DEVELOPMENT.md |
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| 10 | docs/EVALUATION.md |
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| 11 | docs/FRONTEND.md |
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| 12 | docs/GEOSPATIAL.md |
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| 13 | docs/GLOSSARY.md |
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| 14 | docs/LIMITATIONS.md |
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| 15 | docs/MASTER_ARCHITECTURE_PLAN.md |
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| 16 | docs/MODELS.md |
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| 17 | docs/OPERATIONS.md |
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| 18 | docs/PERFORMANCE.md |
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| 19 | docs/REPRODUCIBILITY.md |
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| 20 | docs/RESEARCH_NOTES.md |
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| 21 | docs/SECURITY.md |
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| 22 | docs/SERVING.md |
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| 23 | docs/TESTING.md |
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| 24 | docs/TRAINING.md |
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| 25 | docs/architecture/01-system-overview.md |
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| 26 | docs/architecture/02-deployment-topology.md |
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| 27 | docs/architecture/03-request-lifecycle.md |
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| 28 | docs/architecture/04-router.md |
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| 29 | docs/architecture/05-specialists.md |
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| 30 | docs/architecture/06-evidence-and-confidence.md |
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| 31 | docs/architecture/07-configuration-freeze.md |
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| 32 | docs/architecture/08-api-contract.md |
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| 33 | docs/architecture/09-frontend.md |
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| 34 | docs/architecture/10-observability-and-ops.md |
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| 35 | docs/architecture/README.md |
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| 36 | models/checksums.sha256 |
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| 37 | models/manifest.json |
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| 43 | screenshots/analyze-grounding.png |
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| 44 | screenshots/analyze-optical-sar.png |
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| 46 | tools/build_archive.py |
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| 47 | tools/generate_model_manifest.py |
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| 49 | tools/hf_verify.py |
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| 50 | tools/readme_metrics_report.txt |
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Machine-readable listing
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f2ab54a69886eecce8f55c1969715d03082133b939745dba71fd4896d8e17d2b MODEL_CARD.md
a4e0f99f215bb1daf8533593ad049a7f4c4458e52d4b3807c7c5abe8fc2e1a17 README.md
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1aa5dc9715be4c94eb357d1066c79a6cc5d4c59ae4d587f249e3f1e66c1f628f docs/DATASETS.md
24a543fd4ac270d0d58976dff1ab247610c4be7698a15f9380dbdf27c0f92c8b docs/DATA_PIPELINE.md
df1264b5da664e909dbc7553ac9992721b9b2a9d7f931e81e0064304bbb038fe docs/DEPLOYMENT.md
313622536676062725a1c5eb96143bd675fd181fe0d258d6dce636f9e8689f22 docs/DEVELOPMENT.md
f35020b7a051409f1f53b7a1464eaa87252dd1dee6ea5bc378492e396063b48a docs/EVALUATION.md
fcb81e084c04e0bcf814d6edcc8d797cc3ad29c709bd565c053586a0d30c6d68 docs/FRONTEND.md
ff2753fa10b5db4971ae949c828b7ecb5909b8ad9ed6bed287864ab23d7f0d6c docs/GEOSPATIAL.md
81f1a86d721e6517893bb56e5408b4315dd38a6b214e0f79f840b5ea9f8fc754 docs/GLOSSARY.md
1205aab110bc0f34140d314ea6c2e723f37c973313d86339f8f7275a2bbed170 docs/LIMITATIONS.md
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5a3b166035a2ee9ea53f5aa3a2f751045494562181bba8f8a85f7babba063d6f docs/MODELS.md
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7e3cdcc57e56e5a99a1095df326cd65253ed873d80020b6095318f336a2ec726 docs/REPRODUCIBILITY.md
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92186b7b247647adf18229a4f6f97b6c36f82fb5cc931a7a0c6b76e0d329bed5 docs/SERVING.md
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7575748b37006b6353f511059ddf7c29cd210d84b47ec702b10eefc7297453f1 docs/TRAINING.md
01b5a88b0bc77c1d8ea5439a70ab2fbbc55ce56840415f22d66af412f0bc9492 docs/architecture/01-system-overview.md
f2448816c7f9b5c2995ae32c99052249c908be17a3c22b12393f13dfe20effde docs/architecture/02-deployment-topology.md
be9edb87d8d86f923d13bbf15989af0f5b71d43be70b43dce8f4f8349eb37f6a docs/architecture/03-request-lifecycle.md
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f36dbb5d8d4f481cdbe46bf289915100ce3f5a36ecdbee1a5a0abb3a6391bffc docs/architecture/08-api-contract.md
a7343a07bc962f953764ddf818b730fad9303a3377f2c3cea0593a34e0dc78ae docs/architecture/09-frontend.md
2df09eaab10c5b05b98d4909e439f74e1378022ab77c86c192526464cb686197 docs/architecture/10-observability-and-ops.md
b366886a648de3244174bf3c8a1a798d8c3b41af6f842d345d61f3149e97b0ec docs/architecture/README.md
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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.