parkjinman98 commited on
Commit
d501dd8
·
verified ·
1 Parent(s): 903dc5c

Publish approved Variant MXQ

Browse files
README.md CHANGED
@@ -9,11 +9,11 @@ base_model_relation: quantized
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  # MNASNet1_3_IMAGENET1K_V1
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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/MNASNet1_3_IMAGENET1K_V1). 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 0.76318, top5_accuracy 0.93388. Only the evaluated core mode was measured.
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- SHA-256: `eb89e1788c8220f1e665e0c6358ead40120b402f24bd1c1b720eb6b434a66193` (7154586 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.
@@ -28,7 +28,7 @@ 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": {
@@ -41,8 +41,11 @@ The legacy aries/ directory was removed; mblt-model-zoo <= 2.12 must pin an olde
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  "top5_accuracy": 0.93388
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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"
@@ -51,16 +54,19 @@ The legacy aries/ directory was removed; mblt-model-zoo <= 2.12 must pin an olde
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  "top1_accuracy": 99.75165995712867
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  },
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  "content_sha256": "543af23f007758bfab9cc39f20025f0f70df0797676518f94dab10d299ceba1b",
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- "attempt_id": "srcmodes4r1-mnasnet1-3-imagenet1k-v1-20261008t195001",
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  "superseded_attempt_ids": [],
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- "sha256": "eb89e1788c8220f1e665e0c6358ead40120b402f24bd1c1b720eb6b434a66193",
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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": 7154586,
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  "ops_commits": {
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- "selection": "66d2f03be3d5af292a3bd707a630737ad5631488"
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  },
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  "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/MNASNet1_3_IMAGENET1K_V1",
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  "publication": {
 
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  # MNASNet1_3_IMAGENET1K_V1
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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/MNASNet1_3_IMAGENET1K_V1). 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 0.76318, top5_accuracy 0.93388. Only the evaluated core mode was measured.
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+ SHA-256: `b6ac7da6ccdea78797225401b17b57a54a6b37e2168946cfd89157f9ba5c2b3d` (7956537 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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  "top5_accuracy": 0.93388
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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": 99.75165995712867
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  },
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  "content_sha256": "543af23f007758bfab9cc39f20025f0f70df0797676518f94dab10d299ceba1b",
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+ "attempt_id": "MNASNet1_3_IMAGENET1K_V1-jinman-coreall-a48333eeb163",
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  "superseded_attempt_ids": [],
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+ "sha256": "b6ac7da6ccdea78797225401b17b57a54a6b37e2168946cfd89157f9ba5c2b3d",
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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": 7956537,
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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/MNASNet1_3_IMAGENET1K_V1",
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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": 0.93388
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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": 99.75165995712867
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  },
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  "content_sha256": "543af23f007758bfab9cc39f20025f0f70df0797676518f94dab10d299ceba1b",
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- "attempt_id": "srcmodes4r1-mnasnet1-3-imagenet1k-v1-20261008t195001",
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  "superseded_attempt_ids": [],
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- "sha256": "eb89e1788c8220f1e665e0c6358ead40120b402f24bd1c1b720eb6b434a66193",
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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": 7154586,
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  "ops_commits": {
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- "selection": "66d2f03be3d5af292a3bd707a630737ad5631488"
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  },
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  "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/MNASNet1_3_IMAGENET1K_V1",
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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": 0.93388
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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": 99.75165995712867
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  },
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  "content_sha256": "543af23f007758bfab9cc39f20025f0f70df0797676518f94dab10d299ceba1b",
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+ "attempt_id": "MNASNet1_3_IMAGENET1K_V1-jinman-coreall-a48333eeb163",
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  "superseded_attempt_ids": [],
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+ "sha256": "b6ac7da6ccdea78797225401b17b57a54a6b37e2168946cfd89157f9ba5c2b3d",
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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": 7956537,
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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/MNASNet1_3_IMAGENET1K_V1",
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  "publication": {
aries-rb/mnasnet1_3_IMAGENET1K_V1.mxq CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:eb89e1788c8220f1e665e0c6358ead40120b402f24bd1c1b720eb6b434a66193
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- size 7154586
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:b6ac7da6ccdea78797225401b17b57a54a6b37e2168946cfd89157f9ba5c2b3d
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+ size 7956537