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mobilint/RegNet_X_8GF.tv2_in1k
RegNet_X_8GF.tv2_in1k is a image classification model from mobilint. Use it when you need a label for an image. It is set up for mobilint. The card lists the license as bsd-3-clause.
aries-rb/ holds the MXQ reproduced from the published arxiv folder (https://github.com/mobilint/mblt-model-arxiv/tree/main/models/imageclassification/RegNetX8GFIMAGENET1KV2). It was compiled by qbcompiler 1.4.0 in the…
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From the Hugging Face model README
aries-rb/ holds the MXQ reproduced from the published arxiv folder (https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/RegNet_X_8GF_IMAGENET1K_V2). It was compiled by qbcompiler 1.4.0 in the image mobilint/qbcompiler:1.4-cuda12.8.1-ubuntu22.04 (sha256:7910f1661605b82eb9616f6ac99fd6461dbb865dcadaa810cce22c638ceffd44) with --inference-scheme single, so it supports the core mode(s) single only.
It was evaluated with qbruntime 1.5.0 in async inference mode on imagenet (50000 samples): top1_accuracy 0.81462, top5_accuracy 0.95572. Only the evaluated core mode was measured.
SHA-256: 6847eca8713903a9d663a5b9ceec58607d5e5c219af51cf6e17ffe65bbd64d5a (143525768 bytes). Verify a download with sha256sum <file>.mxq and compare the digest with this value and with aries-rb/metadata.json.
aries-rb/best_result.json contains legacy build values and is retained for mblt-vision-python compile defaults. The legacy aries/ directory was removed; mblt-model-zoo <= 2.12 must pin an older revision.
{
"schema_version": 2,
"model": "RegNet_X_8GF_IMAGENET1K_V2",
"variant": "c0923-gptq",
"qbcompiler": "1.4.0",
"qbruntime": "1.5.0",
"compile": {
"image_tag": "1.4-cuda12.8.1-ubuntu22.04",
"image_digest": "sha256:7910f1661605b82eb9616f6ac99fd6461dbb865dcadaa810cce22c638ceffd44",
"inference_scheme": "single",
"device": "gpu"
},
"evaluation": {
"dataset": "imagenet",
"sample_count": 50000,
"primary": {
"top1_accuracy": 0.81462
},
"secondary": {
"top5_accuracy": 0.95572
},
"protocol": null,
"eval_data_identity": null,
"identity_audit": "absent",
"inference_mode": "async",
"image_tag": "1.4-cpu-ubuntu22.04",
"image_digest": "sha256:62b5bc714571dffd94fb561275767ca80d15337a433630a3ae7936305d531a7b"
},
"retention_percent": {
"top1_accuracy": 99.70624954101491
},
"content_sha256": "48f5e223bbc267c2ccdc41276bee4c970f5b24f100313ee4247caa7cf019383e",
"attempt_id": "srcmodes7-regnet-x-8gf-imagenet1k-v2-20261008t201213",
"superseded_attempt_ids": [],
"sha256": "6847eca8713903a9d663a5b9ceec58607d5e5c219af51cf6e17ffe65bbd64d5a",
"format": "MXQv7",
"supported_modes": [
"single"
],
"size": 143525768,
"ops_commits": {
"selection": "2505304b714b87f620665f0d55ac9ce99d6c57e6"
},
"arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/RegNet_X_8GF_IMAGENET1K_V2",
"publication": {
"status": "public",
"reason": "approved"
}
}