mobilint / mblt-model-zoo

Повний розв'язаний набір залежностей із графа залежностей GitHub: 8 прямих і 15 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

Звірка сповіщень не відбулася для цього звіту: No resolved dependencies carried a version and a supported ecosystem

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          "body": "…#93)\n\n* feat: add MRoPE support for Qwen3-VL and refactor image processor\n\n- Add MobilintQwen3VLRotaryEmbedding with pre-computed position table\n  and 3-D (temporal/height/width) dimension masks for MRoPE\n- Integrate rotary embeddings into MobilintQwen3VLTextModel and pass\n  position_embeddings thr\n[…]\n) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: eungyung <eungyung@mobilint.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\nCo-authored-by: beomsu <beomsu@mobilint.com>",
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          "headline": "feat(qwen3-vl): MRoPE + dynamic vision 지원 및 transformers 4.x/5.x 호환 (…",
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          "body": "* feat: Add comprehensive SKILL.md and CLAUDE.md for Mobilint Model Zoo guidance\n\n* feat: Organize NYU Depth dataset and update related documentation for validation pairs\n\n* depth onnx update\n\n* ade organizer added\n\n* feat: expand vision model metadata\n\n* semantic segmentation ade20k update\n\n* inher\n[…]\nt(vision): validate baked semantic class IDs as finite, integral, and in-range before dtype conversion\n\n* feat(workflow): update code review workflow to include synchronize event and clean up comments",
          "is_bot": false,
          "headline": "feat(vision): add dense model workflows (#101)",
          "author_name": "Jinman Park",
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          "body": "* Add batch inference path for VLM\n\n* Refactor VLM tests\n\n* Update test for Qwen3VL Batch16\n\n* Add log\n\n* Add target_clusters expansion in target_cores getter\n\nWhen target_cores is not explicitly set, expand target_clusters into all\nfour cores per cluster so `target_clusters=[0, 1]` under single cor\n[…]\n[0] == aggregate across all four\nefficiency keys.\n\nCo-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat: Qwen3-VL 배치 추론 지원 및 tps CLI 정합성 개선 (#102)",
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          "body": "…#100)\n\nscale_coords computed its own inline letterbox padding with a fractional\nformula ((img1 - round(img0*gain)) / 2), while scale_boxes and scale_rboxes\nuse compute_ratio_pad (round(... - 0.1) = the integer pad copyMakeBorder\nactually applies in LetterBox). Keypoints were therefore un-letterboxe\n[…]\ntio/pad as the applied letterbox. Sub-pixel consistency fix; not\nrelated to the earlier pose regression (that was the NMS square-dispatch bug).\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
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          "headline": "fix(postprocess): align scale_coords pad with scale_boxes/letterbox (…",
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          "body": "…n LM head\"\n\nThis reverts commit 854f54b1979178941d91c45c14a6b565ea7aebf7.",
          "is_bot": false,
          "headline": "Revert \"feat(transformers): use all K logits from a static multi-toke…",
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          "body": "`_mxq_supports_all_logits()` answers \"is the output token axis dynamic\", and\nevery caller treats a False as \"last-token-only\". That collapses a real\ndistinction: a graph compiled with `logits_to_keep=K` has a *static* axis of K,\nso the probe reports False and the non-default request falls to the Pat\n[…]\n absolute\nposition into each row, so an off-by-one in the row/position mapping surfaces as\nNaN or a wrong position instead of a plausible number.\n\nCo-Authored-By: Claude Opus 5 <noreply@anthropic.com>",
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          "headline": "feat(transformers): use all K logits from a static multi-token LM head",
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          "body": "Updated pull request review types and adjusted permissions.",
          "is_bot": false,
          "headline": "Modify code review workflow settings",
          "author_name": "Jinman Park",
          "author_login": "parkjinman98",
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          "body": "* fix: normalize anchorless output layout\n\n* bump version",
          "is_bot": false,
          "headline": "fix: normalize anchorless output layout (#99)",
          "author_name": "Jinman Park",
          "author_login": "parkjinman98",
          "committed_at": "2026-07-24T08:24:51Z",
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          "oid": "7fad92d9fe56d5cecb2ca4379150317bedd61afb",
          "body": "… postprocessing methods (#98)",
          "is_bot": false,
          "headline": "feat: Enhance dual_topk function to support logits and update related…",
          "author_name": "Jinman Park",
          "author_login": "parkjinman98",
          "committed_at": "2026-07-16T09:09:15Z",
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          "oid": "1f23482689d11be45814af777658c7297572b051",
          "body": "…… (#97)\n\n* fix: Update CenterCrop to use a tuple for border value and enhance Resize docstring for clarity\n\n* fix: Update Resize class to improve type handling and error messages for input images",
          "is_bot": false,
          "headline": "fix: Update CenterCrop to use a tuple for border value and enhance Re…",
          "author_name": "Jinman Park",
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          "oid": "bc08965a4256f65f997df10eeb8fe07ff8740ff1",
          "body": "…… (#96)\n\n* feat: Default ONNX Runtime to CPU provider and update related documentation\n\n* fix: remove unused postprocess_kwargs in run_vision_inference and update related test\n\n* fix: update ONNX Runtime provider preference to default to CPUExecutionProvider in documentation",
          "is_bot": false,
          "headline": "feat: Default ONNX Runtime to CPU provider and update related documen…",
          "author_name": "Jinman Park",
          "author_login": "parkjinman98",
          "committed_at": "2026-07-15T07:04:46Z",
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          "oid": "3b0ed39e5720b7f78ac03b931c1011abe1f53f21",
          "body": "* fix: propagate prefill_chunk_size through text-only Mobilint LM generation\n\n텍스트 전용 Mobilint causal LM 클래스는 MRO 상 MobilintModelMixin이\nMobilintGenerationMixin보다 앞에 위치하기 때문에, generate()가 부르는\nprepare_inputs_for_generation이 GenerationMixin 구현을 타서\ncount_npu_time / prefill_chunk_size 등 벤치마크 kwargs가 llm_f\n[…]\nng the chunked and single-shot no-cache\nbranches.\n\nCo-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Fix runtime propagation of npu_prefill_chunk_size (2.2.1) (#95)",
          "author_name": "beomsu-mobilint",
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          "committed_at": "2026-07-15T05:02:27Z",
          "body_truncated": true,
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          "oid": "733918d711e81179bfa925d3f87e7fedce48b222",
          "body": "* feat: Add support for creating reproducible subsets in COCO, DOTAv1, and ImageNet organizers\n\n* feat: Update dataset organization scripts to create flat deterministic subsets for COCO, DOTAv1, and ImageNet\n\n* feat: Update model configuration files to adjust resize dimensions and add qbcompiler dep\n[…]\nmpatibility\n\n* feat: Refactor vision engine creation and enhance model path resolution; add face detection tests\n\n* feat: Enhance ONNX benchmark handling and improve result directory labeling in tests",
          "is_bot": false,
          "headline": "Jm/qbcompiler (#94)",
          "author_name": "Jinman Park",
          "author_login": "parkjinman98",
          "committed_at": "2026-07-14T08:52:05Z",
          "body_truncated": true,
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          "oid": "aa3e086f762c7ffba5c7afb9bccb5232b9c470dd",
          "body": "* feat: Enhance DOTAv1 dataset handling with Google Drive support\n\n- Added functionality to download DOTAv1 image and label archives from a Google Drive folder.\n- Implemented a method to construct the legacy DOTAv1 validation layout from downloaded archives.\n- Updated the dataset configuration to in\n[…]\nfeat: Enhance Google Drive archive handling in organizer with improved URL recognition and error management\n\n* feat: Enhance construct_dotav1_from_archives to preserve existing data on staging failure",
          "is_bot": false,
          "headline": "feat: Enhance DOTAv1 dataset handling with Google Drive support (#92)",
          "author_name": "Jinman Park",
          "author_login": "parkjinman98",
          "committed_at": "2026-07-13T05:03:40Z",
          "body_truncated": true,
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          "body": "…LI (#91)",
          "is_bot": false,
          "headline": "feat: add --e2e option for YOLO end-to-end postprocessing in vision C…",
          "author_name": "Jinman Park",
          "author_login": "parkjinman98",
          "committed_at": "2026-07-13T01:54:23Z",
          "body_truncated": false,
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          "oid": "b55eca3a6c5e6f38e9a470d391fc3d0ae5ec87cb",
          "body": "…… (#90)\n\n* feat: add support for nested list tensor types and enhance DFL-free detection/segmentation handling\n\n* test: add DFL-free detection and segmentation tests for batched outputs and reducemax handling\n\n* fix: exclude unused reducemax tensors from proto candidates in DFL-free segmentation",
          "is_bot": false,
          "headline": "feat: add support for nested list tensor types and enhance DFL-free d…",
          "author_name": "Jinman Park",
          "author_login": "parkjinman98",
          "committed_at": "2026-07-10T04:12:48Z",
          "body_truncated": false,
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          "oid": "210bce8f5bdc33baff720867f77b4864da51c765",
          "body": "* fix: trace measured tps runs\n\n* feat: add benchmark trace dir\n\n* fix: auto-detect VLM TPS task\n\n* feat: add per-target qbruntime trace to ASR benchmark\n\nMirrors the text-generation benchmark trace-dir wiring: registers\n--trace-dir on the ASR argument parser and wraps the measured-samples\nloop insi\n[…]\nmeasure. Warmup runs are excluded from the trace.\n\nCo-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix: TPS 측정 구간 전체 트레이스 수집 (#89)",
          "author_name": "beomsu-mobilint",
          "author_login": "beomsu-mobilint",
          "committed_at": "2026-07-09T05:59:17Z",
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          "oid": "32daa1bbc644e174d6e913127e2afcd625449a75",
          "body": "* feat: Add support for oriented bounding boxes (OBB) in YOLO models\n\n- Implemented YOLOAnchorlessOBBPost and YOLODFLFreeOBBPost classes for OBB postprocessing.\n- Enhanced results processing to handle OBB outputs, including plotting and evaluation.\n- Updated CLI validation to support OBB models with\n[…]\nenhance OBB support in vision CLI and evaluation scripts\n\n* fix: update DOTA evaluation and test cases for oriented bounding boxes\n\n* feat: add tests for OBB alias in task listing and model resolution",
          "is_bot": false,
          "headline": "Jm/obb (#88)",
          "author_name": "Jinman Park",
          "author_login": "parkjinman98",
          "committed_at": "2026-07-08T08:06:40Z",
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          "oid": "210d13d074d77314f5be07977eeccda106da3836",
          "body": "* fix: allow kanana llama config\n\n* fix: validate Kanana llama configs",
          "is_bot": false,
          "headline": "fix: allow kanana llama config (#87)",
          "author_name": "beomsu-mobilint",
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          "committed_at": "2026-07-07T10:09:25Z",
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          "oid": "b07f43440a43901bf1d4fdcf167b36a614c4ec0b",
          "body": "* fix(tests): skip qwen3-asr cache contract on incompatible qwen-asr/transformers\n\npytest.importorskip(\"qwen_asr\") only catches ImportError, but importing\nqwen_asr triggers a transitive class-body evaluation of its transformers\nbackend that calls @check_model_inputs() in factory form. On the top of\n\n[…]\noth\ntokens and route them to the same `w` bucket.\n\nCo-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Release 2.1.0: transformers version matrix runner + qwen3-asr fix (#86)",
          "author_name": "beomsu-mobilint",
          "author_login": "beomsu-mobilint",
          "committed_at": "2026-07-04T13:26:12Z",
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          "oid": "e2ea64e91c250326e0a348dee0e4943640c85347",
          "body": "* fix(hf_transformers): propagate NPU kwargs through from_pretrained\n\nAdd missing base_/draft_/fc_ dev_no and max_batch_size setters on\nMobilintEagle3ConfigMixin so those kwargs actually reach the NPU\nbackend instead of being silently dropped by PretrainedConfig.from_dict.\n\nAlso strip text_*/vision_\n[…]\n None for the subconfig core-mode payload fields.\n\nCo-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Fix NPU kwargs propagation and add core-mode fan-out to subconfigs (#85)",
          "author_name": "beomsu-mobilint",
          "author_login": "beomsu-mobilint",
          "committed_at": "2026-07-04T09:32:52Z",
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          "oid": "924818a8f3d8db5f070c02ddfd503eb3251b2c31",
          "body": "* feat(llm): add HF-style logits_to_keep to shared LLM inference core\n\nThreads `logits_to_keep: Union[int, torch.Tensor] = 1` through\n`llm_forward` and `_llm_forward_batch`, with a 3-way branch:\n\n* logits_to_keep == 1: unchanged fast path (default caller behavior).\n* MXQ with a dynamic token axis (d\n[…]\nvl_model()` needs it alongside `use_return_dict`.\n\nCo-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(llm): add HF-style logits_to_keep across LLM/VLM forwards (#84)",
          "author_name": "beomsu-mobilint",
          "author_login": "beomsu-mobilint",
          "committed_at": "2026-07-04T02:14:02Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "614b156027134e135daedf2f35b9a4b971133def",
          "body": "* test: harden CLI compat monkeypatches\n\n* test: pass whisper language via generate_kwargs\n\nThe ASR pipeline on transformers 4.54.1 does not forward unknown\nkwargs to generate, so top-level language=\"en\" raised TypeError.\nWrap it in generate_kwargs so the call works on both 4.54.x and\n>=4.55.\n\nCo-Au\n[…]\nackend detach/reattach and top-level field merge.\n\nCo-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Beomsu/fix pytests (#83)",
          "author_name": "beomsu-mobilint",
          "author_login": "beomsu-mobilint",
          "committed_at": "2026-07-01T08:40:34Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "575f0eba7f5b9d157240bfea435e21efebd0e809",
          "body": "* feat: add model filter\n\n* docs: improve prefill model filter\n\n* fix: require model filter values",
          "is_bot": false,
          "headline": "Beomsu/update script (#82)",
          "author_name": "beomsu-mobilint",
          "author_login": "beomsu-mobilint",
          "committed_at": "2026-06-22T08:44:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9879583b5b90b8663223491bfe87cbb29499620d",
          "body": "* fix: support tracker 1.0\n\n* test: cover NPU rail metrics CLI\n\n* fix: clarify tracker trace methods\n\n* fix: auto-detect compare task\n\n* feat: add ASR chart rebuild\n\n* fix: normalize compare model keys\n\n* fix: constrain compare owner stripping\n\n* fix: align compare task schema\n\n* refactor: share com\n[…]\nx: avoid partial energy totals\n\n* fix: recreate VLM phase trackers\n\n* docs: fix mblt tracker version\n\n* fix: use current vision energy\n\n* fix: isolate tps phase trackers\n\n* fix: aggregate sweep energy",
          "is_bot": false,
          "headline": "Improve benchmark tracker energy metrics (#81)",
          "author_name": "beomsu-mobilint",
          "author_login": "beomsu-mobilint",
          "committed_at": "2026-06-14T03:37:16Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "701defe282fecaa8da94a88df0cc2ebd23b96019",
          "body": null,
          "is_bot": false,
          "headline": "fix: stabilize vision val downloads (#80)",
          "author_name": "Jinman Park",
          "author_login": "parkjinman98",
          "committed_at": "2026-06-10T08:51:17Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "cda3b7edf257b4c5f3962e2b652efffa1fc16740",
          "body": null,
          "is_bot": false,
          "headline": "fix: guard qwen asr backend",
          "author_name": "beomsu",
          "author_login": "beomsu-mobilint",
          "committed_at": "2026-06-09T08:12:13Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3ebd0d99d01e90132224f1dddc5043d3de18de51",
          "body": "* Make beam search for whisper\n\n* refactor: remove whisper replay code\n\n* Refactor Beam Cache\n\n* Add beam search test\n\n* Fix BeamCache to not use load/dump\n\n* Fix qwen asr for beam cache\n\n* Send core mode to whisper in benchmark script\n\n* chore: add whisper beam tracing\n\n* test: align beam cache tes\n[…]\nts reuse\n\n* fix: isolate whisper cache by source\n\n* fix: group whisper beam sources\n\n* fix: keep whisper embeds path uncached\n\n* fix: isolate Qwen ASR beam cache\n\n* fix: preserve qwen asr beam sources",
          "is_bot": false,
          "headline": "Add Mobilint ASR beam cache tracing (#78)",
          "author_name": "beomsu-mobilint",
          "author_login": "beomsu-mobilint",
          "committed_at": "2026-06-09T07:53:33Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "64d7705d3333dc8b11fa85c96bcc3f59fa041894",
          "body": "* fix: unify vision model path\n\n* fix: preserve vision path semantics\n\n* fix: preserve legacy local path",
          "is_bot": false,
          "headline": "fix: unify vision model path (#79)",
          "author_name": "Jinman Park",
          "author_login": "parkjinman98",
          "committed_at": "2026-06-09T07:19:01Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5aac8d4ddedaee5a0a731db3a90f0d76ea263cdf",
          "body": "* Add initial ASR benchmark\n\n* Fix bugs & set num beams default as none\n\n* Add ASR compare & iterate all dataset\n\n* Remove warning for qwen asr\n\n* Fix legend warning\n\n* fix: improve asr benchmark defaults\n\n* fix: improve ASR benchmark compare\n\n* refactor: share ASR benchmark dataset utils\n\n* fix: re\n[…]\neserve ASR benchmark labels\n\n* fix: support generic ASR retries\n\n* fix: align eagle3 input device\n\n* test: fix eagle3 generate mocks\n\n* test: capture eagle3 warnings\n\n* fix: report effective ASR beams",
          "is_bot": false,
          "headline": "ASR 벤치마크에 빔 서치 및 정확도 지표 추가 (#77)",
          "author_name": "beomsu-mobilint",
          "author_login": "beomsu-mobilint",
          "committed_at": "2026-06-08T06:43:59Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "c17e07b9eed4e9d54e616f7646d0045448e4e656",
          "body": "* feat: add onnx vision inference\n\n* fix: complete onnx yolo support\n\n* feat: improve ONNX YOLO post-processing with metadata-aware scaling and robust tests\n\n* docs: update vision CLI guide with aliases and ONNX support\n\n* fix: make onnxruntime optional\n\n* fix: improve onnx compatibility and platfor\n[…]\npecific install guides\n\n* fix: robustly handle YOLO outputs and ONNX input layout normalization\n\n* feat: allow configuring ONNX Runtime execution providers\n\n* docs: expand ONNX support scope in README",
          "is_bot": false,
          "headline": "Jm/onnx (#76)",
          "author_name": "Jinman Park",
          "author_login": "parkjinman98",
          "committed_at": "2026-06-08T01:56:32Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "acebec3e60c4a999d92a2ce6644dcde6a68a7469",
          "body": null,
          "is_bot": false,
          "headline": "docs: add vision CLI guide (#75)",
          "author_name": "Jinman Park",
          "author_login": "parkjinman98",
          "committed_at": "2026-06-05T03:56:50Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "6c28ddabcba24e36c1888ca35a227fe77ea43efd",
          "body": "* fix: restore vision import compatibility\n\n* fix: decouple core mode helpers",
          "is_bot": false,
          "headline": "fix: restore vision import compatibility (#74)",
          "author_name": "Jinman Park",
          "author_login": "parkjinman98",
          "committed_at": "2026-06-04T00:57:12Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "8f0a7b0c41ee8da724e022082e56c696cca065c1",
          "body": "* refactor: migrate vision model definitions to YAML configuration files and remove legacy Python implementations\n\n* chore: migrate PyPI publishing to OIDC authentication and update Node runtime environment\n\n* temp update\n\n* refactor: align vision benchmark args\n\n* fix: tighten yolo postprocess typi\n[…]\nlds\n\n* feat: add yolo post overrides\n\n* refactor: unify yolo decode paths\n\n* fix: harden vision yaml migration\n\n* fix: restore DeiT and YOLO registry\n\n* fix: expose shufflenet x0 5\n\n* hotfix\n\n* hotrix",
          "is_bot": false,
          "headline": "Jm/yaml (#73)",
          "author_name": "Jinman Park",
          "author_login": "parkjinman98",
          "committed_at": "2026-06-02T09:08:07Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "bf60dc00e8baf876361b101d66d57659996110a1",
          "body": "* Implement EAGLE3\n\n* Refactor qwen2 eagle3\n\n* Refactor pytests\n\n* Fix qwen2 eagle3 generate\n\n* Remove dummy param\n\n* Fix multi-turn conversation for EAGLE3\n\n* Make stopping criteria work for EAGLE3 and add `count_npu_time`\n\n* Refactor EAGLE3\n\n* test: stabilize eagle3 cache and tps tests\n\n* Refactor\n[…]\nopts\n\n* docs: clarify eagle3 draft model\n\n* fix: support eagle3 core mode sweep\n\n* Fix pytest\n\n* Divide Qwen3 VL tests\n\n* fix: support eagle3 rope on tf520\n\n* fix: guard aya vision decode image inputs",
          "is_bot": false,
          "headline": "Beomsu/eagle3 (#72)",
          "author_name": "beomsu-mobilint",
          "author_login": "beomsu-mobilint",
          "committed_at": "2026-06-01T08:29:02Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "6312c5d16b5ae2a8c64bfb4bd03f1a275782fb5a",
          "body": "* Add Qwen3-VL-8B-Instruct\n\n* Fix wrappers\n\n* Fix VLM tps cli\n\n* Add MobilintDeepStackCache\n\n* Fix loop\n\n* Add fake prefill as result\n\n* Refactor benchmark scripts\n\n* Update README.md\n\n* feat: align transformer benchmarks\n\n* Update `mblt-tracker`\n\n* Add assert for num_of_chunks\n\n* Fix cli help sente\n[…]\n batched decode metrics\n\n* fix: write VLM TPS sweep plot\n\n* fix: preserve sweep durations\n\n* fix: set matplotlib backend early\n\n* fix: honor VLM measure prefill\n\n* Fix qwen3 tests\n\n* Remove python 3.9",
          "is_bot": false,
          "headline": "Beomsu/update benchmark (#71)",
          "author_name": "beomsu-mobilint",
          "author_login": "beomsu-mobilint",
          "committed_at": "2026-05-26T03:48:16Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "7443444176a7b365df37327a613cfd695339d6e5",
          "body": "`Transformers` sets `config.name_or_path = pretrained_model_name_or_path`\nonly after `from_dict` returns and right before `cls(config, ...)`. The\nexisting explicit propagation inside `MobilintVisionTextConfigMixin.from_dict`\nruns too early, so sub-configs end up with an empty `name_or_path`.\n\nWhen `\n[…]\ntches the assignment in\n`PreTrainedModel.from_pretrained` and keeps sub-configs in sync for any\nfuture vision-text Mobilint model.\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Propagate parent name_or_path to vision_config and text_config (#70)",
          "author_name": "Jiwook Hwang",
          "author_login": "phypan11",
          "committed_at": "2026-05-19T02:15:57Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "1f0f9157677b23348faf70494dc863286559a7bf",
          "body": "Add: HF ASR pipeline support and pytest for Qwen3-ASR",
          "is_bot": false,
          "headline": "Merge pull request #69 from mobilint/khh/fix-qwen3-asr",
          "author_name": "khh0303",
          "author_login": "khh0303",
          "committed_at": "2026-05-12T02:21:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "6618a3f45518d22a8dc5f57054914f1a088b54b2",
          "body": null,
          "is_bot": false,
          "headline": "Add: include Qwen3-ASR-0.6B in pytest model sweep",
          "author_name": "hyunghoon",
          "author_login": "khh0303",
          "committed_at": "2026-05-12T02:20:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ec39605c399d0a0479f08cd3988f2673d9c7b528",
          "body": "Guard against the case where super().generate() returns a plain tensor\n(standard transformers behaviour when return_dict_in_generate=False).\nToday upstream Qwen3-ASR hard-codes return_dict_in_generate=True so this\npath is unreachable, but the defensive branch keeps prefix stripping\ncorrect if upstream switches to the standard convention.",
          "is_bot": false,
          "headline": "Add: tensor branch in pipeline generate path for prefix stripping",
          "author_name": "hyunghoon",
          "author_login": "khh0303",
          "committed_at": "2026-05-11T02:01:42Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "8a1f5b65d9965728b67016ec7746ecbb2cd29402",
          "body": null,
          "is_bot": false,
          "headline": "Add: pytest covering Qwen3-ASR HF pipeline and transcribe paths",
          "author_name": "hyunghoon",
          "author_login": "khh0303",
          "committed_at": "2026-05-11T01:40:21Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "03f67cb23979fe11824d4b6b45170f7e9b6b6ca1",
          "body": "Route encoder_*/decoder_* kwargs to the nested audio/text NPU backends and\nregister the model in MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES so\ntransformers.pipeline('automatic-speech-recognition') exercises the\ngenerative path. Add a generate() override that synthesises the chat\ntemplate prompt and strips the language prefix when only audio is given.",
          "is_bot": false,
          "headline": "Add: HF ASR pipeline support for Qwen3-ASR",
          "author_name": "hyunghoon",
          "author_login": "khh0303",
          "committed_at": "2026-05-11T01:40:17Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f36ff293c65c76b712bb3ba2e4e05a6dd8e5be71",
          "body": null,
          "is_bot": false,
          "headline": "Chore: ignore venv directory",
          "author_name": "hyunghoon",
          "author_login": "khh0303",
          "committed_at": "2026-05-11T01:40:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "08455578556b8b5ef90dd439b9d2612df1ede2fa",
          "body": null,
          "is_bot": false,
          "headline": "Update: version 1.5.1",
          "author_name": "hyunghoon",
          "author_login": "khh0303",
          "committed_at": "2026-05-10T05:48:36Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3db14f293b6c34bb4a608b3493e63b3c8ffea776",
          "body": "기존 MobilintQwen3ASRTextModel 은 ASR text MXQ 가 3D `(1, S, hidden)`\n입력으로 컴파일되었기 때문에 부모 MobilintModelMixin.llm_forward\n(4D `(1, 1, S, hidden)` + BatchParam 가정) 를 못 쓰고 자체 3D 전용\n_llm_forward 를 유지해야 했다.\n\nqbcompiler 파서에서 set_attention_mask 패턴을 적용해 ASR text MXQ 도\n다른 LLM 들과 동일한 4D NHWC layout 으로 컴파일되었기 때문에 자체\n_llm_forward 가 더 이상 필요 없다. 부모 llm_forward 를 호출하도록\n교체하고 (attention_mask=None 으로 단일 batch path 사용), 56줄짜리\noverride 메서드와 import time 을 제거한다.",
          "is_bot": false,
          "headline": "Update: ASR text model uses parent llm_forward for 4D MXQ",
          "author_name": "hyunghoon",
          "author_login": "khh0303",
          "committed_at": "2026-05-08T10:11:40Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9fd0978bf737a29c1e658b3f42be22749ceb8b42",
          "body": null,
          "is_bot": false,
          "headline": "Bump version to 1.5.0",
          "author_name": "khh0303",
          "author_login": "khh0303",
          "committed_at": "2026-05-08T04:48:03Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "7ccc1ab1c7079d7cd429b45ab4b979729a263690",
          "body": "Add: Mobilint Qwen3-ASR integration for NPU inference",
          "is_bot": false,
          "headline": "Merge pull request #68 from mobilint/khh/qwen3-asr",
          "author_name": "khh0303",
          "author_login": "khh0303",
          "committed_at": "2026-05-08T04:29:50Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "011fb9ac0a96ecdff2640b0b3633d8f2f72b9bc2",
          "body": "The audio encoder zero-pads the final mel chunk to 100 frames and\nconcatenates the encoder's full 13-token output. When feature_lens is\nnot an exact multiple of 100, this emits more audio embeddings than the\nprocessor's audio_token_id placeholders allocated in the prompt: the\nupstream Qwen3-ASR form\n[…]\nract_output_lengths tail term (three stride-2\nconv stages applied to tail_frames). Mid-stream chunks remain at 13\ntokens, so the fixed-length fast path still holds for everything except\nthe EOS chunk.",
          "is_bot": false,
          "headline": "Fix: drop padded tail audio tokens to match placeholder count",
          "author_name": "hyunghoon",
          "author_login": "khh0303",
          "committed_at": "2026-05-08T03:59:55Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "36859b9f84b5a64d18ff0b62fbbe835178e01048",
          "body": "Mobilint Qwen3-ASR wrappers hard-import the external qwen-asr package,\nwhich is not bundled with the mblt_model_zoo[transformers] extra. Until\nthat package is installed, users hit a bare ModuleNotFoundError that\ngives no recovery hint, and proxy_qwen3_asr.py made it worse by\nsuggesting \"pip install \n[…]\nstall -U qwen-asr\" instruction. Tighten the proxy's\nfallback to only rewrite when mblt_model_zoo itself is missing, so the\nwrapper's actionable message propagates through trust_remote_code load\npaths.",
          "is_bot": false,
          "headline": "Update: guide users to install qwen-asr on missing-import error",
          "author_name": "hyunghoon",
          "author_login": "khh0303",
          "committed_at": "2026-05-08T03:34:39Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "2f190b8c415c09e7742969ed932db935d0d076ea",
          "body": null,
          "is_bot": false,
          "headline": "Chore: ignore .omc working directory",
          "author_name": "hyunghoon",
          "author_login": "khh0303",
          "committed_at": "2026-05-07T00:40:21Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "edd3ab4f8aaef255f866c9a3be13f0bb06497ea0",
          "body": "config / modeling / processing / proxy 5 파일 추가. 원본\nqwen_asr Qwen3ASRForConditionalGeneration 위에 Mobilint NPU\nsubclass 를 얹어 audio encoder (100-frame mel chunk) 와 text\ndecoder (chunked prefill + AR decode) 를 MXQ 로 처리한다.\nAutoModel / AutoModelForSpeechSeq2Seq register 포함.",
          "is_bot": false,
          "headline": "Add: Mobilint Qwen3-ASR integration for NPU inference",
          "author_name": "hyunghoon",
          "author_login": "khh0303",
          "committed_at": "2026-05-06T10:32:25Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f5aed0279766f6708f65937390d9d8aba848e63d",
          "body": "* Skip Qwen3 VL tests when transformers version is low\n\n* Fix test_cache.py\n\n* Fix Qwen VL nested config with transformers 5.0.0~5.3.0\n\n* Update proxy_whisper.py\n\n* Fix aya vision config\n\n* Fix Cohere2 Config with use_cache type\n\n* Update transformers version\n\n* Update fix version\n\n* Fix prepare_inp\n[…]\n the case of cache_position only input\n\n* Refactor whisper feature extractor name\n\n* Move test files into appropriate directories\n\n* Add whisper models in pytest\n\n* Rename test folders in transformers",
          "is_bot": false,
          "headline": "Skip Qwen3-VL tests for lower versions of `transformers` (#67)",
          "author_name": "beomsu-mobilint",
          "author_login": "beomsu-mobilint",
          "committed_at": "2026-04-27T03:45:34Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "e42cd18271cd0147534ce90940aa4be4052b616f",
          "body": "* Add trust_remote_code for auto classes\n\n* Add --full-matrix option for pytests\n\n* Set return_dict=False for tests\n\n* Add PretrainedOnlyMixin for WhisperForConditionalGeneration\n\n* Change deprecated attribute `use_return_dict` to `return_dict`\n\n* Set max new tokens to 32 when --full-matrix is not e\n[…]\nnt for batch/non-batch tests\n\n* Add transformers version warning for Qwen3 VL\n\n* Update fix version\n\n* Fix pytest to enable explicit model id selection eg. test_qwen3_vl[mobilint/Qwen3-VL-8B-Instruct]",
          "is_bot": false,
          "headline": "Refactor pytests for short sanity tests (#66)",
          "author_name": "beomsu-mobilint",
          "author_login": "beomsu-mobilint",
          "committed_at": "2026-04-23T09:05:41Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
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                "points": 26.3,
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                      "weeks": 38
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                "key": "commit_volume",
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                "key": "openssf_scorecard_maintained",
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          },
          {
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            "value": 100,
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              "mean_days_between_releases": 11.1
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            "components": [
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                "key": "ships_releases",
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                "key": "release_recency",
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                "key": "release_cadence",
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                "key": "openssf_scorecard_signed_releases",
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          {
            "key": "abandonment",
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            "note": null,
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            "value": 100,
            "inputs": {
              "cap": null,
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        ],
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      {
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        "weight": 0.17,
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            "note": null,
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            "inputs": {
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              "watchers": 2,
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            "components": [
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                "max_points": 60
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              {
                "key": "forks",
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                    "code": "forks",
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                "key": "watchers",
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                    "code": "watchers",
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          },
          {
            "key": "community_health",
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            "name": "Community health",
            "note": null,
            "notes": [],
            "value": 50,
            "inputs": {
              "has_readme": true,
              "has_license": true,
              "readme_badges": null,
              "has_contributing": false,
              "has_issue_template": false,
              "has_code_of_conduct": false,
              "readme_badge_services": [],
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            "components": [
              {
                "key": "readme",
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                "details": [],
                "max_points": 22.5
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              {
                "key": "license",
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                "detail": "recognized license (BSD-3-Clause)",
                "points": 22.5,
                "status": "met",
                "details": [
                  {
                    "code": "license_standard",
                    "params": {}
                  },
                  {
                    "code": "license_spdx",
                    "params": {
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                "max_points": 22.5
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              {
                "key": "contributing_guide",
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                "status": "missed",
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              },
              {
                "key": "code_of_conduct",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 13.5
              },
              {
                "key": "issue_template",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.2
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              {
                "key": "pr_template",
                "name": "PR template",
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      {
        "key": "governance",
        "band": "good",
        "name": "Sustainability & Governance",
        "value": 71,
        "weight": 0.23,
        "metrics": [
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            "key": "maintainer_resilience",
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            "note": null,
            "notes": [],
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            "inputs": {
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                "key": "bus_factor",
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                "key": "commit_distribution",
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                    "code": "top_contributor_share",
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              {
                "key": "openssf_scorecard_contributors",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
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            ]
          },
          {
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            "name": "Issue & PR responsiveness",
            "note": "Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
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                  "components": [
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              },
              {
                "code": "weights_renormalized",
                "params": {}
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            "value": 84,
            "inputs": {
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              "closed_issues": 1,
              "prs_merged_7d": null,
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            "components": [
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                "key": "issue_resolution",
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                "points": 42,
                "status": "met",
                "details": [
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                    "code": "issues_closed_share",
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                      "share": 100
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                "max_points": 42
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              {
                "key": "pr_acceptance",
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                "status": "partial",
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                    "code": "decided_prs_merged",
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                      "merged": 99,
                      "decided": 101
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                ],
                "max_points": 30
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              {
                "key": "newcomer_pr_acceptance",
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                    "code": "no_newcomer_prs",
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                "max_points": 13
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              {
                "key": "openssf_scorecard_code_review",
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                "points": 1.5,
                "status": "partial",
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                "max_points": 15
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            ]
          },
          {
            "key": "stewardship",
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            "note": null,
            "notes": [],
            "value": 61,
            "inputs": {
              "followers": 24,
              "owner_type": "Organization",
              "is_verified": null,
              "owner_login": "mobilint",
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              "account_age_days": 2055
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            "components": [
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                "key": "ownership_backing",
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                "status": "met",
                "details": [
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                    "code": "owner_organization",
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                ],
                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
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                "points": 0,
                "status": "missed",
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              },
              {
                "key": "owner_reach",
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                "details": [
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                ],
                "max_points": 25
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              {
                "key": "track_record",
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                  },
                  {
                    "code": "account_age_years",
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                ],
                "max_points": 25
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          },
          {
            "key": "package_maintenance",
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            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
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              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 0
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            "components": [
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                "key": "published_resolvable",
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                "detail": "1 package(s) on pypi",
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                "key": "publish_recency",
                "name": "Publish recency",
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                    "code": "publish_recency",
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                "max_points": 35
              },
              {
                "key": "version_history",
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                "details": [
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                ],
                "max_points": 20
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                "key": "not_deprecated",
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                "detail": "active, not deprecated or yanked",
                "points": 20,
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                "details": [
                  {
                    "code": "package_not_deprecated",
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                ],
                "max_points": 20
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            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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      {
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        "weight": 0.19,
        "metrics": [
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            "inputs": {
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                "key": "ci_workflows",
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                    "code": "ci_workflows",
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              },
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                "key": "linter_config",
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              },
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                "key": "pre_commit_hooks",
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              {
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                "key": "openssf_scorecard_ci_tests",
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          {
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            "notes": [],
            "value": 75,
            "inputs": {
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                "key": "repository_description",
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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        "key": "security",
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        "weight": 0.16,
        "metrics": [
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              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 53,
            "inputs": {
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              {
                "key": "branch_protection",
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                "key": "cii_best_practices",
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                "key": "code_review",
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              },
              {
                "key": "contributors",
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              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
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                "details": [],
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              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
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                "max_points": 5
              },
              {
                "key": "license",
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                "points": 2.5,
                "status": "met",
                "details": [],
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                "name": "Maintained",
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                "points": 7.5,
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                "details": [],
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                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
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                "key": "pinned_dependencies",
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                "points": 0,
                "status": "missed",
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                "status": "missed",
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              },
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                "key": "signed_releases",
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                "details": [
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                  }
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                "key": "token_permissions",
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                "status": "partial",
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              {
                "key": "vulnerabilities",
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                "detail": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
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                "max_points": 7.5
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            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "exceptional",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
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            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "commit_weight_rule": {
                "min_commits": 50,
                "min_commit_share": 0.1
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              "review_only_matches": 0,
              "below_threshold_exposures": [],
              "assessed_self_published_locations": 2
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
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      },
      {
        "key": "ai_readiness",
        "band": "moderate",
        "name": "AI Readiness",
        "value": 60,
        "weight": 0.04,
        "metrics": [
          {
            "key": "ai_agent_context",
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            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 85,
            "inputs": {
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              "agent_instruction_max_bytes": 15421
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            "components": [
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                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "AGENTS.md, CLAUDE.md",
                "points": 45,
                "status": "met",
                "details": [
                  {
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                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
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                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
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              },
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                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
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                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "weak",
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            "note": null,
            "notes": [],
            "value": 43,
            "inputs": {
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              "lockfiles": [],
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              "typed_language": false,
              "bootstrap_files": [],
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              "typecheck_configs": [],
              "agent_commit_share": 0.11,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
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            "components": [
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                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
              },
              {
                "key": "automated_tests",
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                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
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                "key": "lint_format_config",
                "name": "Lint / format config",
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                "points": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
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                "points": 10,
                "status": "met",
                "details": [
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                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
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                  }
                ],
                "max_points": 8
              },
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                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
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                "max_points": 10
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            ]
          },
          {
            "key": "ai_code_legibility",
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            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 53,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 167903,
              "source_files_sampled": 352,
              "oversized_source_files": 11
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
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                ],
                "max_points": 45
              },
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                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "11/352 source files over 60KB",
                "points": 53.3,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 352,
                      "oversized": 11
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
      }
    ],
    "classification": {
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        "library"
      ],
      "scores": {
        "library": 6
      },
      "primary": "library",
      "evidence": [
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          "tier": "distribution",
          "label": "library",
          "source": "registry:pypi",
          "weight": 6
        }
      ],
      "artifacts": [],
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      "host_extension": false,
      "runs_as_process": false,
      "consumed_by_code": true
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  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "deps.dev does not index pypi:mblt-model-zoo@2.3.0; advisories assessed against the repository dependency graph instead",
    "No resolved dependencies carried a version and a supported ecosystem"
  ],
  "report_type": "repository",
  "generated_at": "2026-08-01T04:48:02.895858Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/mobilint/mblt-model-zoo.svg",
  "full_name": "mobilint/mblt-model-zoo",
  "license_state": "standard",
  "license_spdx": "BSD-3-Clause"
}