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alt.freeweights.vision / fairface_age_image_detection
From: dima806 <huggingface.co/dima806>Newsgroups: alt.freeweights.visionSubject:

fairface_age_image_detection

Date: 2026-11-15Commit: 4e02ab8Signed: 2DC28CC7B26A283B ✓

Image classification model with 86M parameters. Safetensors weights, 4.46 GB in all. Published by dima806 under Apache-2.0.

86M params4.46GBfairface_age_image_detectionsafetensorspermissive
FactsParams86MSize4.46 GBFormatssafetensorsTaskimage classificationLicenseApache-2.0From sourcepermissive
$ fw get dima806/fairface_age_image_detection
# manifest sha256 0c4410357d9b… · 4.46 GB · 38 files
$ fw verify ./fairface_age_image_detection dima806/fairface_age_image_detection
From sourceHosted (signed)dima806/fairface_age_image_detectionLast check: 2026-11-15 02:29 UTC
Get help

Get help: custom fine-tune or private deploy. We review your setup before we quote.

Fine-tune of vit-base-patch16-224-in21k.

Runs withBentoMLCTranslate2ExLlamaV2LitServeLocalAItinygradTransformersTriton Inference ServerFine-tune withAccelerateDeepSpeedJAXKerasPyTorch Lightningsd-scriptsSimpleTunerConvert withCore ML ToolsExecuTorchOliveONNXOptimum QuantoOptimumsafetensorstorchaoScan withModelScanpicklescan
OverviewModel cardFilesUse itLicenseProvenanceModel tree

Overview

Size
4.46 GB
Weights
1.72 GB (safetensors)
Parameters
86M
Formats
safetensors
Task
image classification
License
Apache-2.0 (permissive)
Files
38, each with a sha256
Publisher
dima806
Added
2026-11-15
Section
alt.freeweights.vision
Lineage

Original release from the publisher.

Base model: google/vit-base-patch16-224-in21k

Where these bytes come from
Publisher at the pinned commit→You

Sources are tried in order. A file counts only when its size and sha256 match the manifest. Sources are checked when you ask for them, not on a timer.

Sources
BadgeHostLast checkResult
From sourcehuggingface.co2026-11-15 02:29 UTCpassed

Model card

From the publisher at commit 4e02ab8. Shown as plain text with links; images open at the publisher.

Detects age group with about 59% accuracy based on an image.

See https://www.kaggle.com/code/dima806/age-group-image-classification-vit for details.

Image: image/png

Classification report:

              precision    recall  f1-score   support

         0-2     0.7803    0.7500    0.7649       180
         3-9     0.7998    0.7998    0.7998      1249
       10-19     0.5361    0.4236    0.4733      1086
       20-29     0.6402    0.7221    0.6787      3026
       30-39     0.4935    0.5083    0.5008      2099
       40-49     0.4848    0.4386    0.4606      1238
       50-59     0.5000    0.4814    0.4905       725
       60-69     0.4497    0.4685    0.4589       286
more than 70     0.6897    0.1802    0.2857       111

    accuracy                         0.5892     10000
   macro avg     0.5971    0.5303    0.5459     10000
weighted avg     0.5863    0.5892    0.5844     10000

Files

38 files · 4.46 GBWeights 1.72 GB (safetensors). Sizes and sha256 from the signed manifest.
Show all 38 files with their sha256
FileSizesha256
.gitattributes1.52 KB11ad7efa24975ee4b0c3c3a38ed18737f0658a5f75a0a96787b576a78a023361
README.md1.20 KB182dd440f8ae894f83f3751fd8edba28b6f6a3599134fe784dd7b8d57daae0fe
checkpoint-32/config.json967 B1ce878a77395b4a6a4da291a09b2b627d7d9b31bbe3be1fb1a37ad4d63f1a7e2
checkpoint-32/model.safetensors343 MB8c2e34c076a38920a0faa6bd6d28ab3c256de02211af98588a84de50a3fcbf61
checkpoint-32/optimizer.pt687 MBecf20baba72b0625f4b93c33924e6dbdc7864803fe84800ca6d7684d763d07c5
checkpoint-32/preprocessor_config.json351 B445c77049d082004aa07593344d5e1f521f1198228bf586196f70ce7ae021414
checkpoint-32/rng_state.pth14.2 KB6b3ee827a7a00012c0a116546df467feee35e70376d81a7a85b1a70eb90414d3
checkpoint-32/scheduler.pt1.06 KB56eec20d0c973eb7e7f22bff0d2cd051e8d4c98231e7961894dc75b33a3a36fe
checkpoint-32/trainer_state.json1.34 KB801640a73e77af3d9dcc690f59aac126d7fef3e026ea6cd5e7622f3ae4b6707c
checkpoint-32/training_args.bin5.30 KB28ebf2b6dbb08045128c07625eb89924fd949f0c3794edd35784a5c320305df8
checkpoint-4688/config.json967 B1ce878a77395b4a6a4da291a09b2b627d7d9b31bbe3be1fb1a37ad4d63f1a7e2
checkpoint-4688/model.safetensors343 MB1f6f3b28c3de06bcedbae8b985363f2df21de98524d8165e2c6cc7f998d98c57
checkpoint-4688/optimizer.pt687 MB8791320f4d583baaa89f9cc262a7a6bbf539b9f9a9e4914e6837a32bd47a7d98
checkpoint-4688/preprocessor_config.json351 B445c77049d082004aa07593344d5e1f521f1198228bf586196f70ce7ae021414
checkpoint-4688/rng_state.pth14.2 KB6b3ee827a7a00012c0a116546df467feee35e70376d81a7a85b1a70eb90414d3
checkpoint-4688/scheduler.pt1.06 KBb93e187257ca6fe0f5b0bc88b5e29ad4936be1b98b0acb5f887bb184be713f3d
checkpoint-4688/trainer_state.json2.92 KB84567a57e48340c448d63f9bf4527c0473a2ae4a2acefc0276e289139c635ac8
checkpoint-4688/training_args.bin5.30 KB28ebf2b6dbb08045128c07625eb89924fd949f0c3794edd35784a5c320305df8
checkpoint-8752/config.json967 B1ce878a77395b4a6a4da291a09b2b627d7d9b31bbe3be1fb1a37ad4d63f1a7e2
checkpoint-8752/model.safetensors343 MBcd3a725b1119d48b89118403515c77428316605407f871bbc7bba7fb50b32305
checkpoint-8752/optimizer.pt687 MB087e51816b138512d362a1022cf69ae38505cd21144fa8057f954593880b9011
checkpoint-8752/preprocessor_config.json351 B445c77049d082004aa07593344d5e1f521f1198228bf586196f70ce7ae021414
checkpoint-8752/rng_state.pth14.2 KB48ee9b73399c28d7e668360bf1d5a4d11095c4738bf96c13f7bb6fbff59f8ccb
checkpoint-8752/scheduler.pt1.06 KB197fc8dcfe2b6e4805b14a2ff8529c35795cc2f0491c4b5a6bd2783753725f19
checkpoint-8752/trainer_state.json4.86 KB0df643cc61edb1e71679370bb1ca859a528146930b16a1fd1525b92aeca1aa4a
checkpoint-8752/training_args.bin5.30 KBe97ef976af56a6fd0395073925187744ad7c56829cffa99ff2332a90f94307b2
checkpoint-9376/config.json967 B1ce878a77395b4a6a4da291a09b2b627d7d9b31bbe3be1fb1a37ad4d63f1a7e2
checkpoint-9376/model.safetensors343 MB1265d8e5a8a363a615898be873c224aebc6f310654bf23b1745da0975a7b7555
checkpoint-9376/optimizer.pt687 MBdb14e1baf0fce1ab79882476b9e400854724970e5adf6d8b17ef6d264fad3b22
checkpoint-9376/preprocessor_config.json351 B445c77049d082004aa07593344d5e1f521f1198228bf586196f70ce7ae021414
checkpoint-9376/rng_state.pth14.2 KB48ee9b73399c28d7e668360bf1d5a4d11095c4738bf96c13f7bb6fbff59f8ccb
checkpoint-9376/scheduler.pt1.06 KB162830a25651b28da57d4375090a0500b22eb117bbfd79d4a2bf61dd85a56833
checkpoint-9376/trainer_state.json5.02 KBad612c625bda067bb4dff82622f24c6a991374b64ad1a182f740d6941645af6d
checkpoint-9376/training_args.bin5.30 KB5ba8df84fa27b6ce1aa5fc9dad74c0fa9ee6fdec46d72d1f00235b986d4684db
config.json967 B1ce878a77395b4a6a4da291a09b2b627d7d9b31bbe3be1fb1a37ad4d63f1a7e2
model.safetensors343 MB1265d8e5a8a363a615898be873c224aebc6f310654bf23b1745da0975a7b7555
preprocessor_config.json351 B445c77049d082004aa07593344d5e1f521f1198228bf586196f70ce7ae021414
training_args.bin5.30 KB5ba8df84fa27b6ce1aa5fc9dad74c0fa9ee6fdec46d72d1f00235b986d4684db
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
4e02ab8057 pinned now2026-11-15 02:29 UTC38 files · 4.46 GB

Use it

$ fw get dima806/fairface_age_image_detection
# manifest sha256 0c4410357d9b… · 4.46 GB · 38 files
$ fw verify ./fairface_age_image_detection dima806/fairface_age_image_detection
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/dima806/fairface_age_image_detection.json --dir ./fairface_age_image_detection $ python3 fw.py verify ./fairface_age_image_detection ./dima806__fairface_age_image_detection.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download dima806/fairface_age_image_detection --revision 4e02ab8057ea7fd74b1670940995c5dfda3e6ec0 --local-dir ./fairface_age_image_detection

License

Name
Apache License 2.0
Id
Apache-2.0
Class
Permissive
Redistribution
yes
Listing
Hosted (signed)
Decided
License as declared by the publisher. No person read it. 2026-11-15
Text in
README.md
Text sha256
182dd440f8ae894f83f3751fd8edba28b6f6a3599134fe784dd7b8d57daae0fe
Terms gate
No extra terms beyond the license.

Read the license text

Licenses are checked against the license table. A custom license passes only after a person reads it.

Provenance

From: dima806 <huggingface.co/dima806>Newsgroups: alt.freeweights.visionSubject: fairface_age_image_detectionDate: 2026-11-15Commit: 4e02ab8Signed: 2DC28CC7B26A283B ✓
Upstream
dima806/fairface_age_image_detection
Pinned commit
4e02ab8057ea7fd74b1670940995c5dfda3e6ec0
Manifest
fairface_age_image_detection.json · .minisig
Manifest sha256
0c4410357d9b4e9c8d7998598c13a61e9d805fceee81e56d5860abeb6d2bd22d
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 02:29 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/dima806/fairface_age_image_detection.json $ curl -O https://freeweights.allternit.com/manifests/dima806/fairface_age_image_detection.json.minisig $ minisign -Vm fairface_age_image_detection.json -P RWQ7KGqyx4zCLXtUFOqvfv8L3g+8fpKJ1FsuxPyOYMF+4KufbUxKq1Oq $ shasum -a 256 <file> # compare with the Files tab

A manifest whose signature fails must be rejected. A file whose size or sha256 does not match must be discarded. Verify a download

Model tree

Parent

google/vit-base-patch16-224-in21k · this model is a finetune of it

1 model in the catalog name this one as their parent.

Quantizations
1
Quantizations 1
Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download dima806/fairface_age_image_detection
Open in Freeweights Studio

Pull, verify and run it in the Allternit app on Desktop, web or phone.

Signed manifest
minisign, key 2DC28CC7B26A283B. fairface_age_image_detection.json. Provenance. Takedown history: none.
Source
huggingface.co/dima806/fairface_age_image_detection

Variants

1 quantized or adapter build of fairface_age_image_detection. Each has its own license check and page.

SubjectSizeParamsLicenseDate
fairface_age_image_detection-ONNXHosted (signed) From: onnx-community in alt.freeweights.vision935 MB—Permissive2026-11-15

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