parkjinman98 commited on
Commit
dec40be
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1 Parent(s): a367eb8

Publish approved Variant MXQ

Browse files
README.md CHANGED
@@ -11,11 +11,11 @@ base_model:
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  # ViT_Base_Patch32_224
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- `aries-rb/` holds the MXQ reproduced from the published arxiv folder (https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/ViT_Base_Patch32_224). 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.
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- It was evaluated with qbruntime 1.5.0 in `async` inference mode on imagenet (50000 samples): top1_accuracy 0.80634, top5_accuracy 0.9555. Only the evaluated core mode was measured.
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- SHA-256: `e276863fe0a391f1e457df78357689aa334c6aa5376d90433d2b077fa865ba21` (100961774 bytes). Verify a download with `sha256sum <file>.mxq` and compare the digest with this value and with `aries-rb/metadata.json`.
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  aries-rb/best_result.json contains legacy build values and is retained for mblt-vision-python compile defaults.
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  The legacy aries/ directory was removed; mblt-model-zoo <= 2.12 must pin an older revision.
@@ -30,39 +30,45 @@ The legacy aries/ directory was removed; mblt-model-zoo <= 2.12 must pin an olde
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  "compile": {
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  "image_tag": "1.4-cuda12.8.1-ubuntu22.04",
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  "image_digest": "sha256:7910f1661605b82eb9616f6ac99fd6461dbb865dcadaa810cce22c638ceffd44",
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- "inference_scheme": "single",
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  "device": "gpu"
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  },
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  "evaluation": {
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  "dataset": "imagenet",
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  "sample_count": 50000,
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  "primary": {
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- "top1_accuracy": 0.80634
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  },
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  "secondary": {
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- "top5_accuracy": 0.9555
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  },
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  "protocol": null,
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- "eval_data_identity": null,
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- "identity_audit": "absent",
 
 
 
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  "inference_mode": "async",
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  "image_tag": "1.4-cpu-ubuntu22.04",
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  "image_digest": "sha256:62b5bc714571dffd94fb561275767ca80d15337a433630a3ae7936305d531a7b"
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  },
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  "retention_percent": {
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- "top1_accuracy": 99.89593399241804
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  },
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  "content_sha256": "81cf997e91a429e5bdab10af4ae4eff79995a86e9747f6983e2b30d6087e7db2",
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- "attempt_id": "srcmodes8-vit-base-patch32-224-20261009t164855",
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  "superseded_attempt_ids": [],
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- "sha256": "e276863fe0a391f1e457df78357689aa334c6aa5376d90433d2b077fa865ba21",
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  "format": "MXQv7",
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  "supported_modes": [
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- "single"
 
 
 
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  ],
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- "size": 100961774,
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  "ops_commits": {
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- "selection": "2505304b714b87f620665f0d55ac9ce99d6c57e6"
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  },
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  "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/ViT_Base_Patch32_224",
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  "publication": {
 
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  # ViT_Base_Patch32_224
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+ `aries-rb/` holds the MXQ reproduced from the published arxiv folder (https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/ViT_Base_Patch32_224). 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 all`, so it supports the core mode(s) `single`, `multi`, `global4`, `global8` only.
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+ It was evaluated with qbruntime 1.5.0 in `async` inference mode on imagenet (50000 samples): top1_accuracy 0.80616, top5_accuracy 0.95562. Only the evaluated core mode was measured.
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+ SHA-256: `729c013c5df25a4b3667e9df0d7bb711e23942d202884ecc1580bd1a878d5e6b` (104601164 bytes). Verify a download with `sha256sum <file>.mxq` and compare the digest with this value and with `aries-rb/metadata.json`.
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  aries-rb/best_result.json contains legacy build values and is retained for mblt-vision-python compile defaults.
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  The legacy aries/ directory was removed; mblt-model-zoo <= 2.12 must pin an older revision.
 
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  "compile": {
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  "image_tag": "1.4-cuda12.8.1-ubuntu22.04",
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  "image_digest": "sha256:7910f1661605b82eb9616f6ac99fd6461dbb865dcadaa810cce22c638ceffd44",
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+ "inference_scheme": "all",
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  "device": "gpu"
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  },
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  "evaluation": {
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  "dataset": "imagenet",
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  "sample_count": 50000,
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  "primary": {
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+ "top1_accuracy": 0.80616
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  },
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  "secondary": {
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+ "top5_accuracy": 0.95562
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  },
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  "protocol": null,
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+ "eval_data_identity": {
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+ "annotation_sha256": "f00550c10ff1d4110abc683786b6cc09d5082dadd3cee1568f5cfa1dad962960",
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+ "sample_list_sha256": "54446819dced83110352e5a0361ff05b19c331c5a9802dcb0222e6d1e44a0547"
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+ },
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+ "identity_audit": "verified",
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  "inference_mode": "async",
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  "image_tag": "1.4-cpu-ubuntu22.04",
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  "image_digest": "sha256:62b5bc714571dffd94fb561275767ca80d15337a433630a3ae7936305d531a7b"
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  },
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  "retention_percent": {
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+ "top1_accuracy": 99.87363413365048
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  },
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  "content_sha256": "81cf997e91a429e5bdab10af4ae4eff79995a86e9747f6983e2b30d6087e7db2",
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+ "attempt_id": "ViT_Base_Patch32_224-jinman-coreall-6cc9a15acc17",
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  "superseded_attempt_ids": [],
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+ "sha256": "729c013c5df25a4b3667e9df0d7bb711e23942d202884ecc1580bd1a878d5e6b",
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  "format": "MXQv7",
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  "supported_modes": [
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+ "single",
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+ "multi",
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+ "global4",
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+ "global8"
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  ],
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+ "size": 104601164,
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  "ops_commits": {
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+ "selection": "6cc61b6c4600f8afef654f68ee851d2b65ebac1e"
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  },
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  "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/ViT_Base_Patch32_224",
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  "publication": {
aries-rb/metadata.json CHANGED
@@ -7,39 +7,45 @@
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  "compile": {
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  "image_tag": "1.4-cuda12.8.1-ubuntu22.04",
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  "image_digest": "sha256:7910f1661605b82eb9616f6ac99fd6461dbb865dcadaa810cce22c638ceffd44",
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- "inference_scheme": "single",
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  "device": "gpu"
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  },
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  "evaluation": {
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  "dataset": "imagenet",
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  "sample_count": 50000,
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  "primary": {
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- "top1_accuracy": 0.80634
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  },
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  "secondary": {
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- "top5_accuracy": 0.9555
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  },
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  "protocol": null,
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- "eval_data_identity": null,
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- "identity_audit": "absent",
 
 
 
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  "inference_mode": "async",
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  "image_tag": "1.4-cpu-ubuntu22.04",
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  "image_digest": "sha256:62b5bc714571dffd94fb561275767ca80d15337a433630a3ae7936305d531a7b"
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  },
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  "retention_percent": {
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- "top1_accuracy": 99.89593399241804
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  },
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  "content_sha256": "81cf997e91a429e5bdab10af4ae4eff79995a86e9747f6983e2b30d6087e7db2",
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- "attempt_id": "srcmodes8-vit-base-patch32-224-20261009t164855",
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  "superseded_attempt_ids": [],
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- "sha256": "e276863fe0a391f1e457df78357689aa334c6aa5376d90433d2b077fa865ba21",
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  "format": "MXQv7",
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  "supported_modes": [
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- "single"
 
 
 
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  ],
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- "size": 100961774,
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  "ops_commits": {
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- "selection": "2505304b714b87f620665f0d55ac9ce99d6c57e6"
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  },
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  "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/ViT_Base_Patch32_224",
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  "publication": {
 
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  "compile": {
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  "image_tag": "1.4-cuda12.8.1-ubuntu22.04",
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  "image_digest": "sha256:7910f1661605b82eb9616f6ac99fd6461dbb865dcadaa810cce22c638ceffd44",
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+ "inference_scheme": "all",
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  "device": "gpu"
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  },
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  "evaluation": {
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  "dataset": "imagenet",
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  "sample_count": 50000,
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  "primary": {
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+ "top1_accuracy": 0.80616
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  },
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  "secondary": {
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+ "top5_accuracy": 0.95562
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  },
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  "protocol": null,
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+ "eval_data_identity": {
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+ "annotation_sha256": "f00550c10ff1d4110abc683786b6cc09d5082dadd3cee1568f5cfa1dad962960",
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+ "sample_list_sha256": "54446819dced83110352e5a0361ff05b19c331c5a9802dcb0222e6d1e44a0547"
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+ },
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+ "identity_audit": "verified",
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  "inference_mode": "async",
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  "image_tag": "1.4-cpu-ubuntu22.04",
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  "image_digest": "sha256:62b5bc714571dffd94fb561275767ca80d15337a433630a3ae7936305d531a7b"
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  },
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  "retention_percent": {
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+ "top1_accuracy": 99.87363413365048
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  },
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  "content_sha256": "81cf997e91a429e5bdab10af4ae4eff79995a86e9747f6983e2b30d6087e7db2",
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+ "attempt_id": "ViT_Base_Patch32_224-jinman-coreall-6cc9a15acc17",
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  "superseded_attempt_ids": [],
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+ "sha256": "729c013c5df25a4b3667e9df0d7bb711e23942d202884ecc1580bd1a878d5e6b",
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  "format": "MXQv7",
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  "supported_modes": [
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+ "single",
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+ "multi",
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+ "global4",
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+ "global8"
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  ],
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+ "size": 104601164,
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  "ops_commits": {
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+ "selection": "6cc61b6c4600f8afef654f68ee851d2b65ebac1e"
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  },
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  "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/ViT_Base_Patch32_224",
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  "publication": {
aries-rb/vit_base_patch32_224.mxq CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
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- oid sha256:e276863fe0a391f1e457df78357689aa334c6aa5376d90433d2b077fa865ba21
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- size 100961774
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:729c013c5df25a4b3667e9df0d7bb711e23942d202884ecc1580bd1a878d5e6b
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+ size 104601164