parkjinman98 commited on
Commit
76eabbf
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1 Parent(s): 47851fd

Publish approved Variant MXQ

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Files changed (3) hide show
  1. README.md +16 -10
  2. aries-rb/metadata.json +14 -8
  3. aries-rb/repvit_m1_1.mxq +2 -2
README.md CHANGED
@@ -11,11 +11,11 @@ base_model:
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  # RepViT_M1_1
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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/RepViT_M1_1). 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 0.80184, top5_accuracy 0.94956. Only the evaluated core mode was measured.
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- SHA-256: `a3853c86e367afcb08346d873664bd02f63ee0c3a89671b9d2c5448430731cc6` (8922342 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.
@@ -30,7 +30,7 @@ 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": {
@@ -43,8 +43,11 @@ The legacy aries/ directory was removed; mblt-model-zoo <= 2.12 must pin an olde
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  "top5_accuracy": 0.94956
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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"
@@ -53,16 +56,19 @@ The legacy aries/ directory was removed; mblt-model-zoo <= 2.12 must pin an olde
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  "top1_accuracy": 99.17134588270214
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  },
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  "content_sha256": "43d230c1a40291c0c792a6c64f0bb26d4f8dd5e3d0aafdc6c2836193d1a331c7",
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- "attempt_id": "RepViT_M1_1-jinman-20261017t113405-78bc8",
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  "superseded_attempt_ids": [],
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- "sha256": "a3853c86e367afcb08346d873664bd02f63ee0c3a89671b9d2c5448430731cc6",
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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": 8922342,
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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/RepViT_M1_1",
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  "publication": {
 
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  # RepViT_M1_1
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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/RepViT_M1_1). 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 0.80184, top5_accuracy 0.94956. Only the evaluated core mode was measured.
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+ SHA-256: `c22b4fd3503e7f8677f2fc238823bcc5289c185a7ffe98d2defd782f89bd8c06` (9655665 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.
21
  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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  "top5_accuracy": 0.94956
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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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  "top1_accuracy": 99.17134588270214
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  },
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  "content_sha256": "43d230c1a40291c0c792a6c64f0bb26d4f8dd5e3d0aafdc6c2836193d1a331c7",
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+ "attempt_id": "RepViT_M1_1-jinman-coreall-83a3cb991f8c",
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  "superseded_attempt_ids": [],
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+ "sha256": "c22b4fd3503e7f8677f2fc238823bcc5289c185a7ffe98d2defd782f89bd8c06",
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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": 9655665,
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  "ops_commits": {
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+ "selection": "417dd6508f5a1f5fce40ca68dbdf1cd0e9e2ccf5"
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  },
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  "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/RepViT_M1_1",
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  "publication": {
aries-rb/metadata.json CHANGED
@@ -7,7 +7,7 @@
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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": {
@@ -20,8 +20,11 @@
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  "top5_accuracy": 0.94956
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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"
@@ -30,16 +33,19 @@
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  "top1_accuracy": 99.17134588270214
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  },
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  "content_sha256": "43d230c1a40291c0c792a6c64f0bb26d4f8dd5e3d0aafdc6c2836193d1a331c7",
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- "attempt_id": "RepViT_M1_1-jinman-20261017t113405-78bc8",
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  "superseded_attempt_ids": [],
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- "sha256": "a3853c86e367afcb08346d873664bd02f63ee0c3a89671b9d2c5448430731cc6",
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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": 8922342,
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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/RepViT_M1_1",
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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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  "top5_accuracy": 0.94956
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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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  "top1_accuracy": 99.17134588270214
34
  },
35
  "content_sha256": "43d230c1a40291c0c792a6c64f0bb26d4f8dd5e3d0aafdc6c2836193d1a331c7",
36
+ "attempt_id": "RepViT_M1_1-jinman-coreall-83a3cb991f8c",
37
  "superseded_attempt_ids": [],
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+ "sha256": "c22b4fd3503e7f8677f2fc238823bcc5289c185a7ffe98d2defd782f89bd8c06",
39
  "format": "MXQv7",
40
  "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": 9655665,
47
  "ops_commits": {
48
+ "selection": "417dd6508f5a1f5fce40ca68dbdf1cd0e9e2ccf5"
49
  },
50
  "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/RepViT_M1_1",
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  "publication": {
aries-rb/repvit_m1_1.mxq CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:a3853c86e367afcb08346d873664bd02f63ee0c3a89671b9d2c5448430731cc6
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- size 8922342
 
1
  version https://git-lfs.github.com/spec/v1
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+ oid sha256:c22b4fd3503e7f8677f2fc238823bcc5289c185a7ffe98d2defd782f89bd8c06
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+ size 9655665