Publish approved Variant MXQ

README.md

@@ -6,14 +6,66 @@ base_model_relation: quantized
 tags:
 - mobilint
 ---
-<div align="center">
-  <a href="https://mobilint.com">
-    <img src="https://raw.githubusercontent.com/mobilint/.github/main/assets/Mobilint_Logo_Primary.png?raw=true" 
-         width="50%" 
-         alt="mobilint" />
-  </a>
-</div>
 
-# About
-This repository provides a model compiled and optimized for Mobilint NPU hardware.  
-The model is packaged for deployment on Mobilint’s acceleration stack and is intended to be used within that environment.
+# ViT_B_32_IMAGENET1K_V1
+
+`aries-rb/` holds the MXQ reproduced from the published arxiv folder (https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/ViT_B_32_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.
+
+It was evaluated with qbruntime 1.5.0 in `async` inference mode on imagenet (50000 samples): top1_accuracy 0.7583, top5_accuracy 0.92394. Only the evaluated core mode was measured.
+
+SHA-256: `16fad7d75cac30e25ae267d968d3666f3392ac5dcf4820b1561d5492d16476d0` (100707739 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.
+
+```json
+{
+  "schema_version": 2,
+  "model": "ViT_B_32_IMAGENET1K_V1",
+  "variant": "c0923-qronos",
+  "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": 0.7583
+    },
+    "secondary": {
+      "top5_accuracy": 0.92394
+    },
+    "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": 99.89198018758562
+  },
+  "content_sha256": "50dd7a426cb0044f81569cf06a5ad6fbca5abed2cc4991317fe471ebe16e1be1",
+  "attempt_id": "srcmodes8-vit-b-32-imagenet1k-v1-20261009t164855",
+  "superseded_attempt_ids": [],
+  "sha256": "16fad7d75cac30e25ae267d968d3666f3392ac5dcf4820b1561d5492d16476d0",
+  "format": "MXQv7",
+  "supported_modes": [
+    "single"
+  ],
+  "size": 100707739,
+  "ops_commits": {
+    "selection": "2505304b714b87f620665f0d55ac9ce99d6c57e6"
+  },
+  "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/ViT_B_32_IMAGENET1K_V1",
+  "publication": {
+    "status": "public",
+    "reason": "approved"
+  }
+}
+```

aries-rb/metadata.json

@@ -0,0 +1,49 @@
+{
+  "schema_version": 2,
+  "model": "ViT_B_32_IMAGENET1K_V1",
+  "variant": "c0923-qronos",
+  "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": 0.7583
+    },
+    "secondary": {
+      "top5_accuracy": 0.92394
+    },
+    "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": 99.89198018758562
+  },
+  "content_sha256": "50dd7a426cb0044f81569cf06a5ad6fbca5abed2cc4991317fe471ebe16e1be1",
+  "attempt_id": "srcmodes8-vit-b-32-imagenet1k-v1-20261009t164855",
+  "superseded_attempt_ids": [],
+  "sha256": "16fad7d75cac30e25ae267d968d3666f3392ac5dcf4820b1561d5492d16476d0",
+  "format": "MXQv7",
+  "supported_modes": [
+    "single"
+  ],
+  "size": 100707739,
+  "ops_commits": {
+    "selection": "2505304b714b87f620665f0d55ac9ce99d6c57e6"
+  },
+  "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/ViT_B_32_IMAGENET1K_V1",
+  "publication": {
+    "status": "public",
+    "reason": "approved"
+  }
+}

aries-rb/vit_b_32_IMAGENET1K_V1.mxq

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1fcae251df8b7588d865704ad242e5381af4e6c0d8cb0150defbeec2c6a41062
-size 103776194
+oid sha256:16fad7d75cac30e25ae267d968d3666f3392ac5dcf4820b1561d5492d16476d0
+size 100707739

aries/best_result.json

@@ -1 +0,0 @@
-{"acc": 0.7568, "timestamp": 1778628261, "checkpoint_dir_name": null, "done": true, "training_iteration": 1, "trial_id": "a0f376bf", "date": "2026-05-13_08-24-21", "time_this_iter_s": 895.5954036712646, "time_total_s": 895.5954036712646, "pid": 1606087, "hostname": "ae30e054f296", "node_ip": "172.17.0.3", "config": {"percentile": 0.010684118329063479, "topk": 0.007654810555446111}, "time_since_restore": 895.5954036712646, "iterations_since_restore": 1, "experiment_tag": "18_percentile=0.0107,topk=0.0077"}

aries/vit_b_32_IMAGENET1K_V1.mxq

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1fcae251df8b7588d865704ad242e5381af4e6c0d8cb0150defbeec2c6a41062
-size 103776194