NVIDIA-NeMo / Automodel

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Installing pypi:nemo-automodel@0.5.0 pulls in 131 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

{
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        "llm",
        "vlm",
        "finetuning",
        "gemma3",
        "llama",
        "llama3",
        "mistral",
        "openai",
        "qwen3",
        "gpt-oss",
        "qwen3-next",
        "glm",
        "kimi-k2",
        "deepseek-v3-2",
        "minimax-m2",
        "gemma4",
        "qwen3-6",
        "deepseek-v4",
        "agent"
      ],
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      "has_wiki": true,
      "homepage": "https://docs.nvidia.com/nemo/automodel/nightly/index.html",
      "languages": {
        "C++": 29610,
        "Shell": 194689,
        "Python": 18786139,
        "Makefile": 377,
        "Dockerfile": 13189,
        "JavaScript": 2542,
        "Standard ML": 19356,
        "Jupyter Notebook": 38342
      },
      "pushed_at": "2026-07-25T06:36:04Z",
      "created_at": "2025-05-21T21:45:47Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-25T06:36:08Z",
      "description": "🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support",
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": "Apache-2.0",
      "default_branch": "main",
      "license_spdx_raw": "Apache-2.0",
      "primary_language": "Python",
      "significant_languages": [
        "Python"
      ]
    },
    "owner": {
      "blog": "https://nvidia.com/",
      "name": null,
      "type": "Organization",
      "login": "NVIDIA-NeMo",
      "company": null,
      "location": null,
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      "avatar_url": "https://avatars.githubusercontent.com/u/213689629?v=4",
      "created_at": "2025-05-27T19:36:58Z",
      "is_verified": null,
      "public_repos": 27,
      "account_age_days": 423
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    "license": {
      "state": "standard",
      "spdx_id": "Apache-2.0",
      "raw_spdx": "Apache-2.0",
      "file_present": true,
      "scorecard_found": true,
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          "kind": "minor",
          "published_at": "2026-07-02T19:58:31Z"
        },
        {
          "tag": "v0.4.0",
          "kind": "minor",
          "published_at": "2026-04-28T20:04:37Z"
        },
        {
          "tag": "v0.3.0",
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          "published_at": "2026-03-02T18:57:42Z"
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          "kind": "minor",
          "published_at": "2025-12-04T21:22:08Z"
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          "published_at": "2025-10-08T14:18:57Z"
        },
        {
          "tag": "v0.1.0rc0",
          "kind": "other",
          "published_at": "2025-09-17T13:59:00Z"
        }
      ],
      "recent_commits": [
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          "oid": "3ebd99a5e65c11ddfa73f964260bbb774827b104",
          "body": "* fix(distributed): support packed CP for Llama and Qwen2\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* fix(ci): declare node count for packed CP recipes\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* feat(models): add packed CP support for dense Qwen3\n\nS\n[…]\n\n* test(distributed): gate packed TP CP test by GPU count\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n---------\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>",
          "is_bot": false,
          "headline": "fix(distributed): support packed CP for Llama, Qwen2, and Qwen3 (#2999)",
          "author_name": "Alexandros Koumparoulis",
          "author_login": "akoumpa",
          "committed_at": "2026-07-25T06:36:02Z",
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          "oid": "d8c354b0662e0cc489d715e586e6e3c69fe2ab33",
          "body": "… (#3192)\n\napply_submodule_checkpointing() wraps the attention submodule by searching\nattr names (\"self_attn\", \"attention\", \"attn\"), but hybrid linear-attention\nmodels (Qwen3-Next, Qwen3.5, Qwen3.5-MoE) name their Gated DeltaNet mixer\n\"linear_attn\". Those layers were therefore never checkpoint-wrapp\n[…]\nred-by: Amol Khanna <amol.khanna@crowdstrike.com>\nCo-authored-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\nCo-authored-by: Alexandros Koumparoulis <153118171+akoumpa@users.noreply.github.com>",
          "is_bot": false,
          "headline": "fix(distributed): activation-checkpoint Qwen3-Next linear_attn layers…",
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          "author_login": "amolkhanna",
          "committed_at": "2026-07-25T05:01:02Z",
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          "oid": "bd592f8829d9fafddd95abc5fea9af9934e087e8",
          "body": "Signed-off-by: HuiyingLi <willwin.lee@gmail.com>",
          "is_bot": false,
          "headline": "fix(glm): size GLM5.2 release CI jobs (#3210)",
          "author_name": "Huiying",
          "author_login": "HuiyingLi",
          "committed_at": "2026-07-25T00:20:30Z",
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          "oid": "35b1fcab72515236525bbeb57225cc825d1615ae",
          "body": "* fix(ci): shard Nemotron Super vLLM deploy across 8 GPUs\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n* test(vllm): enable expert parallel for large MoE deploys\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n* ci: bump deploy dockerfile to 26.04\n\nSigned-off-by: Dong Hyuk Chang <9426164+thomasdhc@\n[…]\nyuk Chang <9426164+thomasdhc@users.noreply.github.com>\nCo-authored-by: Dong Hyuk Chang <9426164+thomasdhc@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(ci): shard Nemotron Super vLLM deploy across 8 GPUs (#3061)",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-24T23:00:34Z",
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          "oid": "622cc24ba9206eee9cde6067ca0a50d95dcc8b25",
          "body": "…(#3207)\n\nGLM-5.2 uses noaux_tc MoE load balancing: the FP32 e_score_correction_bias\nmust be updated from per-expert token counts after each optimizer step, but\nneither GlmMoeDsaModel nor GlmMoeDsaForCausalLM exposed update_moe_gate_bias,\nso the recipe-side hasattr hook never fired and the bias was \n[…]\nlayers, FakeBalancedGate, and\ngate_bias_update_factor=0 overrides); the outer CausalLM delegates.\n\nSigned-off-by: larkzhang-nv <larkz@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(glm_moe_dsa): expose update_moe_gate_bias on GLM MoE DSA models …",
          "author_name": "jQizhang",
          "author_login": "jQizhang",
          "committed_at": "2026-07-24T18:34:32Z",
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          "body": "Signed-off-by: HuiyingLi <willwin.lee@gmail.com>",
          "is_bot": false,
          "headline": "fix(vlm): size qwen3.6 medpix CI configs (#3209)",
          "author_name": "Huiying",
          "author_login": "HuiyingLi",
          "committed_at": "2026-07-24T18:33:04Z",
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        {
          "oid": "dfd1401a65f1e73887dcbaa4328f0a6312b1ecb1",
          "body": "…ting (#3133)\n\n* fix(dist): keep profiler record-function ops out of SAC replay accounting\n\ntorch 2.13's FSDP2 runs its pre/post-forward hooks under\ntorch.autograd.profiler.record_function, which emits dispatchable\ntorch.ops.profiler ops. When an FSDP module boundary sits inside a\nselective-activati\n[…]\ngned-off-by: HuiyingLi <willwin.lee@gmail.com>\nCo-authored-by: Alexandros Koumparoulis <153118171+akoumpa@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(dist): keep profiler record-function ops out of SAC replay accoun…",
          "author_name": "Huiying",
          "author_login": "HuiyingLi",
          "committed_at": "2026-07-24T17:45:39Z",
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          "oid": "fc57de71faefcef21c558853e4618328c197f5f6",
          "body": "…ath (#3122)\n\n* refactor(diffusion): migrate recipe onto typed RecipeConfig build() path\n\nAligns the diffusion training recipe with the LLM/VLM recipes: every YAML\nsection is coerced once at the recipe boundary into a typed config that owns\nconstruction via build(...), and the recipe body becomes th\n[…]\nSigned-off-by: Pranav Prashant Thombre <pthombre@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>\nCo-authored-by: Alexandros Koumparoulis <153118171+akoumpa@users.noreply.github.com>",
          "is_bot": false,
          "headline": "refactor(diffusion): migrate recipe onto typed RecipeConfig build() p…",
          "author_name": "Pranav Thombre",
          "author_login": "pthombre",
          "committed_at": "2026-07-24T17:40:26Z",
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        },
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          "oid": "380423c63c55f9b97cf7246504d900bb3325e287",
          "body": "… (#3161)\n\n* feat(dllm): add DiffusionGemma generation via the built-in HF sampler\n\nDiffusionGemma ships its own diffusion sampler in transformers >= 5.11\n(entropy-bounded denoising with adaptive stopping; the pinned 5.12.1\nincludes generation_diffusion_gemma.py), so generation follows the model\nrat\n[…]\nards on top.\n\nSigned-off-by: Zeyu Zhou <zezhou@nvidia.com>\n\n---------\n\nSigned-off-by: Zeyu Zhou <zezhou@nvidia.com>\nCo-authored-by: Alexandros Koumparoulis <153118171+akoumpa@users.noreply.github.com>",
          "is_bot": false,
          "headline": "feat(dllm): add DiffusionGemma generation via the built-in HF sampler…",
          "author_name": "Zeyu Zhou",
          "author_login": "zyzhou5",
          "committed_at": "2026-07-24T16:10:19Z",
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        },
        {
          "oid": "4027eb1a4972e002254bf0b00d14cf13d9b90db5",
          "body": "* perf(kernels): add QuACK backend\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* fix(packaging): sync PyTorch image lock for QuACK\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* test(perf): allow QuACK kernel warmup\n\nSigned-off-by: Alexandros Koumparoulis\n[…]\n: NeMo Bot <nemo-bot@nvidia.com>\nSigned-off-by: svcnemo-autobot <svcnemo-autobot@nvidia.com>\nCo-authored-by: NeMo Bot <nemo-bot@nvidia.com>\nCo-authored-by: svcnemo-autobot <svcnemo-autobot@nvidia.com>",
          "is_bot": false,
          "headline": "feat(kernels): add QuACK backend (#3115)",
          "author_name": "Alexandros Koumparoulis",
          "author_login": "akoumpa",
          "committed_at": "2026-07-24T14:38:05Z",
          "body_truncated": true,
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        {
          "oid": "d41256417b61d56f1c6dd39983de2cb36e2f4df1",
          "body": "…n (#3193)\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>",
          "is_bot": false,
          "headline": "feat(checkpoint): preserve intrinsic fp32 during offline consolidatio…",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-24T14:27:19Z",
          "body_truncated": false,
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        },
        {
          "oid": "104878f558471d21f6a7ea8e5c5abbcf59966576",
          "body": "* build(deps): pin megatron-fsdp to 0.5.0\n\nMove the megatron-fsdp requirement from the permissive >=0.2.3 range to\nan exact 0.5.0 pin and refresh both uv lock files accordingly. Later\nreleases changed the fully_shard precision API and DTensor handling, so\nthe supported version must be explicit for t\n[…]\nBy: Claude Opus 4.8 <noreply@anthropic.com>\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n---------\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(distributed): Megatron-FSDP 0.5.0 compatibility (#2986)",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-24T14:17:03Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "bb9a62c892863c7250460e1ce564cfc9f66136fc",
          "body": "…on (#2987)\n\n* feat(distributed): shape TPLinear/LinearLoRA graphs for async-TP fusion\n\nInductor's async tensor-parallel pass (_micro_pipeline_tp, enabled via\nenable_async_tensor_parallel) fuses collectives with matmuls by\npattern-matching the reshape-mm-reshape graph that F.linear emits for\n3-D inp\n[…]\nributed): move TP linear helpers to shared\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n---------\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(distributed): shape TPLinear/LinearLoRA graphs for async-TP fusi…",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-24T14:09:17Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "190a2b7145b2d64ba4461bf13dc2aec3b754b549",
          "body": "* fix: prefer Automodel config registry lookup\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* docs: require config registry review checks\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* fix: annotate custom config resolver\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n---------\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>",
          "is_bot": false,
          "headline": "fix: prefer Automodel config registry lookup (#3202)",
          "author_name": "Alexandros Koumparoulis",
          "author_login": "akoumpa",
          "committed_at": "2026-07-24T13:09:04Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "983bac3c44bddc8847986220a4c687de74eb10a8",
          "body": "* fix(glm): apply LoRA to TileLang MLA KV projection\n\nSigned-off-by: Shahaf Wagner <shahafwg@gmail.com>\n\n* feat(glm): add GLM-5.2 LoRA finetune recipe (TileLang MLA)\n\nAdds examples/llm_finetune/glm/glm_5.2_lora.yaml, a 16-node (128-GPU, cp=1/ep=128) LoRA fine-tuning config for GLM-5.2 on the TileLan\n[…]\nludes the required ci: section (recipe_owner/nodes/time) for release CI auto-discovery.\n\nSigned-off-by: Shahaf Wagner <shahafwg@gmail.com>\n\n---------\n\nSigned-off-by: Shahaf Wagner <shahafwg@gmail.com>",
          "is_bot": false,
          "headline": "fix(glm): apply LoRA to TileLang MLA KV projection (#3176)",
          "author_name": "Shahaf Wagner",
          "author_login": "shahafwa",
          "committed_at": "2026-07-24T11:57:12Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "4cc72911e5f82f3e2014fe0f352725e6369b8c90",
          "body": "* docs(retrieval): complete fine-tuning guide integration\n\nSigned-off-by: Oliver Holworthy <1216955+oliverholworthy@users.noreply.github.com>\n\n* fix(retrieval): align the public dataset config\n\nSigned-off-by: Oliver Holworthy <1216955+oliverholworthy@users.noreply.github.com>\n\n* docs(retrieval): ali\n[…]\n <oholworthy@users.noreply.github.com>\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\nCo-authored-by: Oliver Holworthy <oholworthy@users.noreply.github.com>\nCo-authored-by: Yuhe Zhang <yuhez@nvidia.com>",
          "is_bot": false,
          "headline": "docs(retrieval): complete fine-tuning guide integration (#2306)",
          "author_name": "Oliver Holworthy",
          "author_login": "oliverholworthy",
          "committed_at": "2026-07-24T01:13:42Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "b0b53b0f6251ed968b6a970c69a3439728b3c1b3",
          "body": "Fused bf16 SDPA is gradient-unstable for Gemma4 on Hopper (grad_norm NaN ~step 22,\nthen loss NaN, with attn_implementation=sdpa and local_batch_size>=2). Run SDPA\nwith fp32 q/k/v and install it as the sdpa attention when Gemma4 uses sdpa.\n\nSigned-off-by: Amineh Dadsetan <amineh.dadsetan@gmail.com>",
          "is_bot": false,
          "headline": "fix(gemma4): run SDPA in fp32 to avoid #2208 NaN on Hopper (#3141)",
          "author_name": "Amineh Dadsetan",
          "author_login": "aminehd",
          "committed_at": "2026-07-23T18:46:12Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "fd18270430fc82d1a84b0fb5ccea7b457c55f7ee",
          "body": "* feat(dllm): LoRA recipes for llada/llada2/nemotron and adapter generation\n\n- New LoRA example recipes mirroring their SFT configs plus a peft block:\n  llada_lora.yaml (covers both LLaDA attention/MLP layouts; unmatched\n  patterns are no-ops), llada2_lora.yaml (16B MoE: attention + dense-layer\n  ML\n[…]\n state_dict.\n\nSigned-off-by: Zeyu Zhou <zezhou@nvidia.com>\n\n---------\n\nSigned-off-by: Zeyu Zhou <zezhou@nvidia.com>\nCo-authored-by: Alexandros Koumparoulis <153118171+akoumpa@users.noreply.github.com>",
          "is_bot": false,
          "headline": "feat(dllm): add lora to dllm  (#3163)",
          "author_name": "Zeyu Zhou",
          "author_login": "zyzhou5",
          "committed_at": "2026-07-23T18:08:03Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "bee559ddb2f54e8a9dc40e064e4d86e1c687ef15",
          "body": "* fix(ci): preserve HF meta init for device-mapped loads\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n* ci: increase Qwen3 MoE parity timeout\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n---------\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>",
          "is_bot": false,
          "headline": "fix(ci): preserve HF meta init for device-mapped loads (#3188)",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-23T18:05:14Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "601dbafaed8aa925210df39a6d67169df5ae3fea",
          "body": "fix(ci): run coverage after successful CI summary\n\nSigned-off-by: svcnemo-autobot <svcnemo-autobot@nvidia.com>",
          "is_bot": false,
          "headline": "fix(ci): AUT-964 restore Codecov after skipped GB200 jobs (#3205)",
          "author_name": "svcnemo-autobot",
          "author_login": "svcnemo-autobot",
          "committed_at": "2026-07-23T18:01:21Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "66c5a8bbd98ef6500dbd477b410bf5c14387c329",
          "body": "* feat: Support preemption checkpointing\n\nSigned-off-by: edjson <edisonggacc@gmail.com>\n\n* fixed typos\n\nSigned-off-by: edjson <edisonggacc@gmail.com>\n\n* fix: background srun, and added docs\n\nSigned-off-by: edjson <edisonggacc@gmail.com>\n\n* Apply docs corrections from code review\n\nCo-authored-by: jge\n[…]\nroulis <153118171+akoumpa@users.noreply.github.com>\nCo-authored-by: Abhishree Thittenamane <47577437+athitten@users.noreply.github.com>\nCo-authored-by: jgerh <163925524+jgerh@users.noreply.github.com>",
          "is_bot": false,
          "headline": "feat: Support preemption checkpointing (#3007)",
          "author_name": "Edison",
          "author_login": "edjson",
          "committed_at": "2026-07-23T17:20:48Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "d761ae2cce1c3af97ad14894e9df27c142d53657",
          "body": "…3189)\n\n* enable image+text training for vision retrieval\n\n* simplify injecting text with image logic",
          "is_bot": false,
          "headline": "feat: enable text inclusion alongside images in retrieval training (#…",
          "author_name": "rnyak",
          "author_login": "rnyak",
          "committed_at": "2026-07-23T16:50:58Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c179031a74171981a0b57bcfb8af276c87259b06",
          "body": "* fix: honor memory-efficient LoRA toggle for fused MLPs\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* fix: disable memory-efficient LoRA in throughput recipes\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* fix: keep memory-efficient LoRA for Qwen3.5 benchmark\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n---------\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>",
          "is_bot": false,
          "headline": "fix(peft): honor memory-efficient LoRA opt-out (#3126)",
          "author_name": "Alexandros Koumparoulis",
          "author_login": "akoumpa",
          "committed_at": "2026-07-23T15:40:01Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f78e01e754ce8cbb2dc171ec37fd1a72f11452fc",
          "body": "…er (#3144)",
          "is_bot": false,
          "headline": "fix(datasets): keep system turns in the sharegpt conversation convert…",
          "author_name": "khazzz1c",
          "author_login": "khazic",
          "committed_at": "2026-07-23T14:03:04Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "025bb132e032a089c5ff580049bc2dcdc521b9f4",
          "body": null,
          "is_bot": false,
          "headline": "feat: add checkpoint staging wait option (#3131)",
          "author_name": "khazzz1c",
          "author_login": "khazic",
          "committed_at": "2026-07-23T14:01:44Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "995e8d64cdc6b5134266e7a6cb3b81f107c519c3",
          "body": "* ci: restore single L0 GPU unit-test job\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* test(ci): trim slow CPU L0 coverage\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* ci: reduce L0 GPU tests to two shards\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n---------\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>",
          "is_bot": false,
          "headline": "ci: reduce L0 GPU tests to two shards (#3201)",
          "author_name": "Alexandros Koumparoulis",
          "author_login": "akoumpa",
          "committed_at": "2026-07-23T12:32:23Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5983424df87ba99271b074727f468f0eeb964554",
          "body": "Signed-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>",
          "is_bot": false,
          "headline": "docs(fern): add legacy URL redirects (#3203)",
          "author_name": "Alexandros Koumparoulis",
          "author_login": "akoumpa",
          "committed_at": "2026-07-23T10:34:12Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "70cb0869206c2c4b68547b0cb814687237de016e",
          "body": "… (#2937)\n\n* refactor(distributed): introduce CPSharder, retire private CP batch keys\n\nModels that own their CP batch sharding now return a CPSharder dataclass\n(under the 'cp_sharder' batch key) from prepare_model_inputs_for_cp,\nreplacing the private batch-key side channel (_cp_make_batch_fn,\n_cp_me\n[…]\n\n\nDeferred: the cp_sharder.py contiguous-shard function docstrings are long but get\nmerged/rewritten by the follow-up shard_batch_contiguous collapse, so they are\ncompressed there rather than churned…",
          "is_bot": false,
          "headline": "refactor(distributed): unify CP input prep and dispatch across models…",
          "author_name": "Huiying",
          "author_login": "HuiyingLi",
          "committed_at": "2026-07-23T09:28:40Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "8918b8cd1dc0ecbbb1309878d3f9b8bb9e238dee",
          "body": "* test(deepseek-v4): add random-init pretraining CI\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* fix(ci): select H100 for DeepSeek V4 pretrain\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* fix(ci): use synthetic data for DeepSeek V4 pretrain\n\nSigned-off\n[…]\nvidia.com>\n\n* test(ci): add DeepSeek V4 pretrain pipeline\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n---------\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>",
          "is_bot": false,
          "headline": "test(ci): add DeepSeek V4 Flash pretrain coverage (#3128)",
          "author_name": "Alexandros Koumparoulis",
          "author_login": "akoumpa",
          "committed_at": "2026-07-23T07:52:24Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "81e7f01f431c31a60d607b9245f1337d8dcf9e1b",
          "body": "…rt (#3199)\n\nPR #2929 added flash_attention_3 and flash_attention_4 to the set of\nflash-attention variants configure_packing patches, so flash_attention_3 is\nno longer an unsupported (no-op) backend. test_noop_for_unsupported_backends\nstill parametrized it as unsupported and asserted the FA2 shim wa\n[…]\ne\nno-op test, and parametrize test_patches_flash_attention_utils over all three\nflash-attention variants so the newly supported fa3/fa4 paths have coverage.\n\nSigned-off-by: khazic <khazzz1c@gmail.com>",
          "is_bot": false,
          "headline": "test(packing): fix stale unsupported-backend test after fa3/fa4 suppo…",
          "author_name": "khazzz1c",
          "author_login": "khazic",
          "committed_at": "2026-07-23T06:27:43Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "40392130e350902e3aaf4b31eb7bfdec92ada596",
          "body": "Signed-off-by: khazic <khazzz1c@gmail.com>",
          "is_bot": false,
          "headline": "feat(checkpoint): add DCP CPU offload option (#3130)",
          "author_name": "khazzz1c",
          "author_login": "khazic",
          "committed_at": "2026-07-23T02:04:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "59d82e3a9421493a490c873569960b1a8de2ae31",
          "body": "* feat(attention): support flash_attention_3 and flash_attention_4\n\ntransformers >= 5.x dispatches attn_implementation=flash_attention_3 (dist\nflash-attn-3, module flash_attn_interface) and flash_attention_4 (dist\nflash-attn-4, module flash_attn.cute) natively. This change makes those\nselectable end\n[…]\n\n---------\n\nSigned-off-by: HuiyingLi <willwin.lee@gmail.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>\nCo-authored-by: Alexandros Koumparoulis <153118171+akoumpa@users.noreply.github.com>",
          "is_bot": false,
          "headline": "feat(attention): support flash_attention_3 and flash_attention_4 (#2929)",
          "author_name": "Huiying",
          "author_login": "HuiyingLi",
          "committed_at": "2026-07-22T22:39:56Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "92eb9fc8f489b361e9d3bffad556f64a8d8530ad",
          "body": "…(#3151)\n\n* feat(examples): add CoderForge SFT data pipeline for CP validation\n\nPhase 1 of AM-492 (AM-555). Adds examples/convergence/coderforge/:\n\n- prefilter_dataset.py: load togethercomputer/CoderForge-Preview, parse and\n  clean the OpenHands trajectories (JSON-string messages/tools + union-schem\n[…]\n@gmail.com>\nSigned-off-by: athitten <abhishreetm@gmail.com>\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>\nCo-authored-by: Alexandros Koumparoulis <153118171+akoumpa@users.noreply.github.com>",
          "is_bot": false,
          "headline": "feat(examples): Gemma4-31B CoderForge data pipeline + CP SFT recipes …",
          "author_name": "Abhishree Thittenamane",
          "author_login": "athitten",
          "committed_at": "2026-07-22T21:45:09Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "5e292306f0b4c4e34daf26fe8d86b432d2aacabd",
          "body": "* fix(distributed): preserve canonical activation checkpoint keys\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n* ci: extend Nemotron single-GPU timeout\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n* ci: right-size Nemotron single-GPU timeout\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n---------\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>",
          "is_bot": false,
          "headline": "fix(distributed): preserve canonical activation checkpoint keys (#3152)",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-22T20:56:42Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "53ef40b1f608d6fa1aebb4cbd67b997666b3129a",
          "body": "* feat(distributed): add block-diagonal varlen context parallelism for packed sequences\n\nAdd a self-contained CP implementation for packed (multi-document)\nsequences where masking must stay block-causal per document, which the\nload-balanced DTensor context_parallel path cannot express:\n\n- batch: con\n[…]\ntributed): harden packed block-diagonal CP\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n---------\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(distributed): block-diagonal varlen CP for packed sequences (#2989)",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-22T18:04:44Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "79378e6261f28df02a17533e8430c230e1002e55",
          "body": "Signed-off-by: Yuhe Zhang <yuhez@nvidia.com>",
          "is_bot": false,
          "headline": "fix(checkpoint): restore adapters through DDP wrappers (#3150)",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-22T15:08:07Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "df7dcc6a372e98e99e21554f9e25e9160cb75e48",
          "body": "* fix(kd): use torch adam fp32 masters\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* fix(kd): resolve storage dtype from raw config\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* fix(kd): scope fp32 storage fallback to KD recipes\n\nSigned-off-by: Alexandro\n[…]\nfix(kd): use recipe config accessors for dtype resolution\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n---------\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>",
          "is_bot": false,
          "headline": "fix(kd): use fp32 master weight copy (#3019)",
          "author_name": "Alexandros Koumparoulis",
          "author_login": "akoumpa",
          "committed_at": "2026-07-22T13:31:59Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "829d6621849852713c7116d256a329d211765634",
          "body": "* fix(checkpoint): add bounded retention window\n\nSigned-off-by: Oliver Holworthy <1216955+oliverholworthy@users.noreply.github.com>\n\n* fix(checkpoint): log retention policy at startup\n\nSigned-off-by: Oliver Holworthy <1216955+oliverholworthy@users.noreply.github.com>\n\n* fix(checkpoint): harden reten\n[…]\n final review cleanup\n\nSigned-off-by: Oliver Holworthy <1216955+oliverholworthy@users.noreply.github.com>\n\n---------\n\nSigned-off-by: Oliver Holworthy <1216955+oliverholworthy@users.noreply.github.com>",
          "is_bot": false,
          "headline": "fix(checkpoint): add bounded retention window (#2416)",
          "author_name": "Oliver Holworthy",
          "author_login": "oliverholworthy",
          "committed_at": "2026-07-22T09:22:19Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "7cbae6878cf2cc55c69c416955dc66089429a912",
          "body": "…#3136)\n\n* fix: make grad norm robust to finite overflow\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* fix: repair near-zero input embedding rows\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* test: cover distributed embedding row repair\n\nSigned-off-by: A\n[…]\nli@nvidia.com>\n\n* fix: handle empty local gradient shards\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n---------\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>",
          "is_bot": false,
          "headline": "fix: prevent damaged token embeddings from dominating grad clipping (…",
          "author_name": "Alexandros Koumparoulis",
          "author_login": "akoumpa",
          "committed_at": "2026-07-22T08:39:27Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "c59eba6c514074f55b3718fd566403572284782e",
          "body": "* feat(models): add Laguna model implementation\n\nSigned-off-by: HuiyingLi <willwin.lee@gmail.com>\n\n* test(models): keep Laguna smoke test on dense path\n\nKeep the causal-LM smoke test focused on Laguna wiring while the separate\nunit test continues to validate the sparse MoE layer construction and\nrou\n[…]\noreply@anthropic.com>\nSigned-off-by: HuiyingLi <willwin.lee@gmail.com>\n\n---------\n\nSigned-off-by: HuiyingLi <willwin.lee@gmail.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(models): add Laguna model implementation (#3148)",
          "author_name": "Huiying",
          "author_login": "HuiyingLi",
          "committed_at": "2026-07-22T01:34:01Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "c37f04cde41dd91e2018622cc31e07d0c1462710",
          "body": "* feat(dllm): add LLaDA2 generation support\n\nSigned-off-by: Zeyu Zhou <zezhou@nvidia.com>\n\n* refactor(dllm): keep LLaDA2 options sampler-local\n\nSigned-off-by: Zeyu Zhou <zezhou@nvidia.com>\n\n* docs(dllm): address LLaDA2 inference review\n\nSigned-off-by: Zeyu Zhou <zezhou@nvidia.com>\n\n* docs(dllm): apply technical publications review\n\nSigned-off-by: Zeyu Zhou <zezhou@nvidia.com>\n\n---------\n\nSigned-off-by: Zeyu Zhou <zezhou@nvidia.com>",
          "is_bot": false,
          "headline": "feat(dllm): add LLaDA2 generation support (#3092)",
          "author_name": "Zeyu Zhou",
          "author_login": "zyzhou5",
          "committed_at": "2026-07-21T18:17:58Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b1b083e789a324c9697b8217093aeb92ca49cb08",
          "body": "ci: gate GB200 tests and container build on DISABLE_GB200_TESTS\n\nEnable GB200 CI by default, but skip the cicd-e2e-tests-gb200 jobs and the\nGCP (GB200) container build in the build matrix when the repo variable\nDISABLE_GB200_TESTS is 'true'. The Nemo_CICD_Test summary excludes gb200_\njobs from the failure count in that case, so a disabled run stays green.\n\nSigned-off-by: svcnemo-autobot <svcnemo-autobot@nvidia.com>",
          "is_bot": false,
          "headline": "ci: AUT-895 gate GB200 tests on DISABLE_GB200_TESTS variable (#3118)",
          "author_name": "svcnemo-autobot",
          "author_login": "svcnemo-autobot",
          "committed_at": "2026-07-21T17:36:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "52e061ccebc80829bf3712c131f8ba5f5198796a",
          "body": "* Add Laguna SFT recipe and docs\n\nSigned-off-by: HuiyingLi <willwin.lee@gmail.com>\n\n* docs: add Laguna README entry\n\nSigned-off-by: HuiyingLi <willwin.lee@gmail.com>\n\n* docs: use Laguna S 2.1 model id\n\nSigned-off-by: HuiyingLi <willwin.lee@gmail.com>\n\n* docs: link Laguna README entry to HF\n\nSigned-o\n[…]\nipe\n\nSigned-off-by: HuiyingLi <willwin.lee@gmail.com>\n\n* docs: add Laguna recipe CI owner\n\nSigned-off-by: HuiyingLi <willwin.lee@gmail.com>\n\n---------\n\nSigned-off-by: HuiyingLi <willwin.lee@gmail.com>",
          "is_bot": false,
          "headline": "docs: add Laguna SFT docs and recipe (#3146)",
          "author_name": "Huiying",
          "author_login": "HuiyingLi",
          "committed_at": "2026-07-21T17:27:37Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "01d9ab0460bc299cdc5f87dd3ba9dfec03d38b3e",
          "body": null,
          "is_bot": false,
          "headline": "fix(moe): preserve HSDP replica gradient synchronization (#3135)",
          "author_name": "wangzhxg",
          "author_login": "wangzhxg",
          "committed_at": "2026-07-21T09:03:44Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2e40c6222a35efe72ed1446b655a516e0cf9b882",
          "body": "* feat(bagel): make TE and fused projections configurable\n\nSigned-off-by: Zeyu Zhou <zezhou@nvidia.com>\n\n* fix(bagel): harden TE and fused projections\n\nSigned-off-by: Zeyu Zhou <zezhou@nvidia.com>\n\n* fix(bagel): support fused distributed checkpoint init\n\nSigned-off-by: Zeyu Zhou <zezhou@nvidia.com>\n\n[…]\nned-off-by: Zeyu Zhou <zezhou@nvidia.com>\n\n* perf(bagel): enable TE in example recipes by default\n\nSigned-off-by: Zeyu Zhou <zezhou@nvidia.com>\n\n---------\n\nSigned-off-by: Zeyu Zhou <zezhou@nvidia.com>",
          "is_bot": false,
          "headline": "feat(bagel): add TE support (#2895)",
          "author_name": "Zeyu Zhou",
          "author_login": "zyzhou5",
          "committed_at": "2026-07-21T03:28:00Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "66c72a99c6a21bda5ea50dc56d7d1410528b19ef",
          "body": "* fix(ci): preserve retrieval evaluation schedule\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n* fix(ci): preserve retrieval release schedule\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n---------\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>",
          "is_bot": false,
          "headline": "fix(ci): preserve retrieval evaluation schedule (#3139)",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-20T21:59:38Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ce862ce43613ade8881bd071fe71a369a8a8436e",
          "body": "* build(deps): bump base container to 26.06-cuda13.3\n\nSigned-off-by: Dong Hyuk Chang <9426164+thomasdhc@users.noreply.github.com>\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n* ci(install-test): keep cuda-dl-base on 26.04-cuda13.2\n\nSigned-off-by: Dong Hyuk Chang <9426164+tho\n[…]\n-by: Dong Hyuk Chang <9426164+thomasdhc@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\nCo-authored-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>",
          "is_bot": false,
          "headline": "test(vlm): add checkpoint robustness coverage (#3112)",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-20T21:28:05Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "c659a21e74988b84634d31afbf6325be10bd55ee",
          "body": "Signed-off-by: Yuhe Zhang <yuhez@nvidia.com>",
          "is_bot": false,
          "headline": "fix(checkpoint): isolate consolidation timeout from NCCL (#3108)",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-20T20:17:59Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9005cc155e4ef26d50746346b48b318f4b03c502",
          "body": "* ci: shard GPU unit tests into 5 pytest-shard chunks\n\nSplit the single L0_Unit_Tests_GPU job into five parallel matrix shards\nusing pytest-shard, plumbing --shard-id/--num-shards through the\ntest-template action and tests/run_test.sh.\n\nSigned-off-by: svcnemo-autobot <svcnemo-autobot@nvidia.com>\n\n* \n[…]\nia.com>\n\n* chore(deps): regenerate uv-pytorch.lock for pytest-shard\n\nSigned-off-by: svcnemo-autobot <svcnemo-autobot@nvidia.com>\n\n---------\n\nSigned-off-by: svcnemo-autobot <svcnemo-autobot@nvidia.com>",
          "is_bot": false,
          "headline": "ci: AUT-911 shard GPU unit tests into 5 pytest-shard chunks (#3138)",
          "author_name": "svcnemo-autobot",
          "author_login": "svcnemo-autobot",
          "committed_at": "2026-07-20T18:03:11Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "106bc6aacc0e65c9cfe40317b55eb9b27ba8a8d3",
          "body": "…own (#3134)\n\nfix(transformers): keep custom MiniMaxM3VL config when transformers ships its own\n\ntransformers 5.12 (bumped in 14d17731) added a native minimax_m3_vl model\ntype with the same model_type string and class names as our custom\nimplementation. _register_custom_configs skips registration wh\n[…]\nitten against the native config and runs green, so\nits behavior is left unchanged.\n\nRegression test pins CONFIG_MAPPING['minimax_m3_vl'] to our class.\n\nSigned-off-by: HuiyingLi <willwin.lee@gmail.com>",
          "is_bot": false,
          "headline": "fix(transformers): keep custom M3 config when transformers ships its …",
          "author_name": "Huiying",
          "author_login": "HuiyingLi",
          "committed_at": "2026-07-20T15:47:12Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "3cd3ed2a119fbf0ea23b347d7a881be16c159af0",
          "body": "* build(deps): bump base container to 26.06-cuda13.3\n\nSigned-off-by: Dong Hyuk Chang <9426164+thomasdhc@users.noreply.github.com>\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n* ci(install-test): keep cuda-dl-base on 26.04-cuda13.2\n\nSigned-off-by: Dong Hyuk Chang <9426164+tho\n[…]\n <yuhez@nvidia.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\nCo-authored-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\nCo-authored-by: Yuhe Zhang <yuhez@nvidia.com>",
          "is_bot": false,
          "headline": "build(deps): bump base container to 26.06-cuda13.3 (#2983)",
          "author_name": "Dong Hyuk Chang",
          "author_login": "thomasdhc",
          "committed_at": "2026-07-20T14:01:18Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "0c41f71363d940a4830ad0b142c8c6b204e67648",
          "body": "* fix(checkpoint): gather PEFT adapter across PP stages so full LoRA is saved\n\nSigned-off-by: hyfine <835083304@qq.com>\n\n* fix(checkpoint): only warn on PP gather collapse when >1 rank has adapters\n\nAddresses review feedback: the degenerate-gather guard warned whenever\nmerged_n <= max(per_rank), whi\n[…]\n one non-empty rank.\n\nSigned-off-by: hyfine <835083304@qq.com>\n\n---------\n\nSigned-off-by: hyfine <835083304@qq.com>\nCo-authored-by: Alexandros Koumparoulis <153118171+akoumpa@users.noreply.github.com>",
          "is_bot": false,
          "headline": "fix(checkpoint): gather PEFT adapter across PP stages (#3096)",
          "author_name": "Muqing",
          "author_login": "hyfine",
          "committed_at": "2026-07-20T11:51:41Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "cdaaff9139d4b3a2aaa5b1ef03226c932f6110b2",
          "body": "Add Inkling README news\n\nSigned-off-by: HuiyingLi <willwin.lee@gmail.com>",
          "is_bot": false,
          "headline": "docs: Add Inkling README news (#3129)",
          "author_name": "Huiying",
          "author_login": "HuiyingLi",
          "committed_at": "2026-07-19T08:51:44Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ba4ec358fecfec3bc3524a3e8a56677a2815878b",
          "body": "* feat(vlm): THD packed-sequence support for Qwen3-VL-MoE (collater, recipe, capability, tests)\n\nSigned-off-by: khazic <khazzz1c@gmail.com>\n\n* fix(vlm): guard THD packing to cp_size=1; document mRoPE/CP scope\n\nSigned-off-by: khazic <khazzz1c@gmail.com>\n\n* fix(vlm): use self.mesh_context.cp_size in T\n[…]\nen3-VL-30B-A3B with TE\nattention and packing_format=thd on MedPix: 20 healthy steps, loss 1.98->1.63.\n\nSigned-off-by: khazic <khazzz1c@gmail.com>\n\n---------\n\nSigned-off-by: khazic <khazzz1c@gmail.com>",
          "is_bot": false,
          "headline": "feat(vlm): add THD packed-sequence support for Qwen3-VL-MoE (#3052)",
          "author_name": "khazzz1c",
          "author_login": "khazic",
          "committed_at": "2026-07-18T14:22:48Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "e54ea84b4dc68793be900ede9c29cf98a995dcf5",
          "body": "… (#2783)\n\n* ci(dllm): add dLLM SFT nightly train-to-generate launcher and recipes\n\nAdd a dLLM SFT nightly CI test folder:\n- tests/ci_tests/scripts/dllm_sft_launcher.sh: train->generate smoke. torchrun\n  finetune via examples/dllm_sft/finetune.py (selects recipe class from the\n  config 'recipe:' fie\n[…]\niffusionGemma to nightly SFT\n\nSigned-off-by: Zeyu Zhou <zezhou@nvidia.com>\n\n---------\n\nSigned-off-by: Zeyu Zhou <zezhou@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "ci(dllm): add dLLM SFT nightly train-to-generate launcher and recipes…",
          "author_name": "Zeyu Zhou",
          "author_login": "zyzhou5",
          "committed_at": "2026-07-18T08:25:51Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "a5b9283045094a1ab5cbcd19c60cdd536ea1e20a",
          "body": "* feat(models): add Inkling VLM MoE support\n\nSigned-off-by: hemildesai <hemild@nvidia.com>\n\n* Update uv lock\n\nSigned-off-by: NeMo Bot <nemo-bot@nvidia.com>\n\n* refactor(pp): reuse centralized process group warmup\n\nSigned-off-by: hemildesai <hemild@nvidia.com>\n\n* refactor(pp): use default NCCL communi\n[…]\nmild@nvidia.com>\nSigned-off-by: NeMo Bot <nemo-bot@nvidia.com>\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\nCo-authored-by: NeMo Bot <nemo-bot@nvidia.com>\nCo-authored-by: Yuhe Zhang <yuhez@nvidia.com>",
          "is_bot": false,
          "headline": "feat(models): add Inkling VLM MoE support (#3095)",
          "author_name": "Hemil Desai",
          "author_login": "hemildesai",
          "committed_at": "2026-07-18T03:45:43Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "5008ea66c33583bb3fe2f782fbffd56da4135933",
          "body": "… (#3113)\n\n* fix(vlm): resolve get_rope_index from the base model for packed mRoPE\n\nTransformers defines get_rope_index on the base model, not on the\n*ForConditionalGeneration that model_parts holds, and DDP or MegatronFSDP add\nanother wrapper on top without proxying attribute reads. The recipe's pl\n[…]\nt of setup(). Fall back to the\nattribute lookups alone when the object does not carry named_children.\n\nSigned-off-by: khazic <khazzz1c@gmail.com>\n\n---------\n\nSigned-off-by: khazic <khazzz1c@gmail.com>",
          "is_bot": false,
          "headline": "fix(vlm): resolve get_rope_index from the base model for packed mRoPE…",
          "author_name": "khazzz1c",
          "author_login": "khazic",
          "committed_at": "2026-07-18T03:04:58Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "eb0470922bc01557fa424aea09a06b64d3578573",
          "body": "* ci: add HF hub cache preflight check\n\nSigned-off-by: Dong Hyuk Chang <9426164+thomasdhc@users.noreply.github.com>\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n* refactor(ci): use exit code for hf_cache_check decision\n\nSigned-off-by: Dong Hyuk Chang <9426164+thomasdhc@users\n[…]\nus 4.6 (1M context) <noreply@anthropic.com>\n\n---------\n\nSigned-off-by: Dong Hyuk Chang <9426164+thomasdhc@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "ci: add HF hub cache preflight check (#3119)",
          "author_name": "Dong Hyuk Chang",
          "author_login": "thomasdhc",
          "committed_at": "2026-07-17T20:43:47Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "a0d025e4ad50152960f4516dabb190a8cfcc3720",
          "body": "* fix(ci): restore Ministral3 checkpoint robustness\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n* fix(ci): make Ministral3 recipes blocking\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n---------\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>",
          "is_bot": false,
          "headline": "fix(ci): restore Ministral3 checkpoint robustness (#3111)",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-17T18:48:53Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "4827dbbaadef007fce81584e1c544d36994de641",
          "body": "* feat(loss): add chunked fp32 path to MaskedCrossEntropy via chunk_size\n\nComputing masked cross-entropy on the last pipeline stage upcasts the full\n[N, V] logits to fp32 and additionally saves cross_entropy's fp32 log-softmax\nfor backward, which dominates the loss-side memory peak for large-vocabul\n[…]\nls): harden FA2 packing compatibility shim\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n---------\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix: bound chunked CE memory and preserve packing masks (#2996)",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-17T18:37:22Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "f02d3607ae35ef570f89ac7f7c3b54dc54918ab2",
          "body": "* feat(training): add opt-in setup-time prewarms for cuBLAS, fla autotune, and NCCL groups\n\ncuBLAS/cuBLASLt workspaces, Triton autotune caches (flash-linear-attention\ngated-delta-net backward kernels), and NCCL communicators all initialize\nlazily on first use. When that first use lands in step 1 at \n[…]\nmaining technical publications suggestions\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n---------\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(training): add opt-in setup-time prewarms (#2992)",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-17T18:36:53Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "5adfd2206a5e4cc2432b692a6bf2f2a40cd13d80",
          "body": "…(#2884)\n\n* test(ci): remove deprecated 26.10 models from nightly and release CI\n\nDrop deprecated families from nightly recipe lists, exempt them from\nrelease auto-discovery, update benchmark overrides, and remove stale\ngolden convergence values.\n\n* fix(ci): keep Llama 3.2-1B and retrieval tests whi\n[…]\ncontinue to run in CI while the remaining deprecated\nfamilies (Baichuan, Qwen2.5/Seed, Mistral/Mixtral, GLM 4.5/4-9B, Kimi-VL,\nGemma 2/3, Phi, Granite, OLMo, Falcon 3, StarCoder, Cohere) stay removed.",
          "is_bot": false,
          "headline": "test(ci): remove deprecated 26.10 models from nightly and release CI …",
          "author_name": "Abhishree Thittenamane",
          "author_login": "athitten",
          "committed_at": "2026-07-17T16:41:58Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "8a83fdcee3c5025df0f64399cf771236dfb0242d",
          "body": "…s (#2995)\n\n* feat(moe): safe fail-closed tensor parallelism for custom MoE models\n\nEnable tensor parallelism on the non-expert token path of custom MoE\nmodels instead of asserting tp_size == 1, with fail-closed validation:\n\n- Resolve TP plans only from an explicit tp_shard_plan or a registered\n  ar\n[…]\nfactor: move tied-weight helpers to shared\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n---------\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(moe): safe TP and EP/TP gradient correctness for custom MoE model…",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-17T14:20:26Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "4364e4bd22ebbe3b64614840933a248581b2d708",
          "body": "* feat(kd): support separate student and teacher meshes\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* docs(kd): add separate-mesh example configs\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* docs(kd): add VLM separate-mesh examples\n\nSigned-off-by: Alexa\n[…]\nidia.com>\n\n* test(kd): cover separate mesh recipe helpers\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n---------\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>",
          "is_bot": false,
          "headline": "feat(kd): support separate student and teacher meshes (#2954)",
          "author_name": "Alexandros Koumparoulis",
          "author_login": "akoumpa",
          "committed_at": "2026-07-17T07:56:55Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "af88b008065ef77547a58377498d637271ea69b9",
          "body": "Signed-off-by: Yuhe Zhang <yuhez@nvidia.com>",
          "is_bot": false,
          "headline": "fix(test): use eager attention for Nemotron-H HF loads (#3100)",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-16T19:44:49Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9fd184099087884b0908dfd150c7f453bc436d23",
          "body": "Codecov upload for pull requests from forks landed in a pending state\nbecause the PR number could not be inferred: the fork CI runs on a\nrefs/heads/pull-request/<n> branch, so codecov/codecov-action has no PR\ncontext. Pass override_pr and override_commit from the get-pr-info step\n(mirroring the existing base_sha wiring) so the coverage report is\nassociated with the correct PR and head commit.\n\nSigned-off-by: svcnemo-autobot <svcnemo-autobot@nvidia.com>",
          "is_bot": false,
          "headline": "fix(ci): pass PR number and commit to Codecov for fork PRs (#3101)",
          "author_name": "svcnemo-autobot",
          "author_login": "svcnemo-autobot",
          "committed_at": "2026-07-16T18:31:43Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e522eda71804bef99680e8e43baf898d66425116",
          "body": "Signed-off-by: Zeyu Zhou <zezhou@nvidia.com>",
          "is_bot": false,
          "headline": "fix(bagel): enable periodic garbage collection (#3105)",
          "author_name": "Zeyu Zhou",
          "author_login": "zyzhou5",
          "committed_at": "2026-07-16T17:08:56Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c40259786db0f36548b6efb7c4bdef60008dc0f6",
          "body": "…ataloader (#2390)\n\n* wip\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* fix(datasets): satisfy import-linter independence contract\n\nDataloaderConfig.build (the config-driven replacement for the recipe's\nbuild_dataloader) crossed the \"Components must not import each other\"\ncont\n[…]\n-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n---------\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "refactor(datasets): typed Config + build per dataset, config-driven d…",
          "author_name": "Alexandros Koumparoulis",
          "author_login": "akoumpa",
          "committed_at": "2026-07-16T16:21:55Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "2dca34ea99e2ccb48e4c33225050cd74a4922b1d",
          "body": "* feat(speculative): add DFlash validation metrics\n\nSigned-off-by: khazic <khazzz1c@gmail.com>\n\n* fix(speculative): skip disabled W&B metrics\n\nSigned-off-by: khazic <khazzz1c@gmail.com>\n\n---------\n\nSigned-off-by: khazic <khazzz1c@gmail.com>",
          "is_bot": false,
          "headline": "feat(speculative): add DFlash validation metrics (#3072)",
          "author_name": "khazzz1c",
          "author_login": "khazic",
          "committed_at": "2026-07-16T15:11:56Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "59eca013119f9e485bf13f15bc007b8157edc13a",
          "body": "…998)\n\n* refactor(models): add TieSupport enum and single tie_word_embeddings guard\n\nReplace reject_unsupported_tied/untied_word_embeddings with a single\nreject_unsupported_tie_word_embeddings(model_cls, config) driven by a per-class\nTieSupport declaration. Migrate the 30 existing guard call sites 1\n[…]\nuhe Zhang <yuhez@nvidia.com>\n\n---------\n\nSigned-off-by: Achyuthan Sivasankar <achyuthan.sivasankar@gmail.com>\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\nCo-authored-by: Yuhe Zhang <yuhez@nvidia.com>",
          "is_bot": false,
          "headline": "refactor(models): single tie_word_embeddings guard via TieSupport (#2…",
          "author_name": "achyuthan.s",
          "author_login": "Achyuthan-S",
          "committed_at": "2026-07-16T14:52:43Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "90ae61715923dfacd22f0ea9fc679c8c764ceb2f",
          "body": "Signed-off-by: Yuhe Zhang <yuhez@nvidia.com>",
          "is_bot": false,
          "headline": "test: clean up KD test process group (#3090)",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-16T14:44:35Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "10ee7c19f2855d6fe35f2a04daf218762d76c206",
          "body": "Revert \"chore(skills): add Regent Open Plugin manifest (#3097)\"\n\nThis reverts commit af4da2e0620d1e718fc7538374bf8551404b70fe.\n\nSigned-off-by: oliver könig <okoenig@nvidia.com>",
          "is_bot": false,
          "headline": "chore(skills): remove Open Plugin manifest (superseded) (#3099)",
          "author_name": "oliver könig",
          "author_login": "ko3n1g",
          "committed_at": "2026-07-16T09:43:34Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "af4da2e0620d1e718fc7538374bf8551404b70fe",
          "body": "Expose this repo's skills/ as a skills-only Regent Open Plugin so in-cluster\nCI agents (implement-author + base analyst) can activate them as $automodel:<skill>.\nAdds only .plugin/plugin.json; Regent scans ./skills/ by default. No behavior\nchange for humans or Claude Code (which reads .claude/skills).\n\nSigned-off-by: oliver könig <okoenig@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "chore(skills): add Regent Open Plugin manifest (#3097)",
          "author_name": "oliver könig",
          "author_login": "ko3n1g",
          "committed_at": "2026-07-16T08:24:38Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "29322e1e15ae705a8221a36cacbdf0b3ccff9571",
          "body": "… (#3083)\n\nfix(speculative): keep DSpark target_layer_ids within [0, N-2] for SGLang servability\n\nThe standard SGLang runtime captures aux/context features via\nset_eagle3_layers_to_capture (effectively capturing the input of layer id+1), so\nit cannot produce a feature for -1 (the embedding, no captu\n[…]\nm is unchanged.\n\nvalidate_target_layer_ids now warns (not errors) when -1 or N-1 is present, since\nthose ids remain valid for AutoModel's own spec_generate.\n\nSigned-off-by: khazic <khazzz1c@gmail.com>",
          "is_bot": false,
          "headline": "fix(speculative): keep DSpark target_layer_ids in [0, N-2] for SGLang…",
          "author_name": "khazzz1c",
          "author_login": "khazic",
          "committed_at": "2026-07-16T02:59:41Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "49676eed612296f27c1d723495914c7fc4c3d805",
          "body": "…(#3081)\n\n* test(speculative): add EAGLE-3 fp8 draft convergence smoke for SM89+\n\nAdds a turnkey harness to validate fp8 draft-training convergence on\nfp8-capable hardware (H100/Ada, sm_89+), the last open fp8 item in the\nspeculative-decoding tracking issue (#2958). The fp8 feature (#2963)\nshipped w\n[…]\n: khazic <khazzz1c@gmail.com>\n\n* chore: re-trigger CI (gb200 coverage step flaked on missing uuidgen)\n\nSigned-off-by: khazic <khazzz1c@gmail.com>\n\n---------\n\nSigned-off-by: khazic <khazzz1c@gmail.com>",
          "is_bot": false,
          "headline": "test(speculative): add EAGLE-3 fp8 draft convergence smoke for SM89+ …",
          "author_name": "khazzz1c",
          "author_login": "khazic",
          "committed_at": "2026-07-16T02:57:27Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "6e5d52b5bd6136ab8e3f126dc815c17577051e14",
          "body": "Signed-off-by: yaoyu-33 <yaoyu.094@gmail.com>",
          "is_bot": false,
          "headline": "fix(perf): use GPT-OSS head dimension in FLOPs accounting (#3091)",
          "author_name": "Yu Yao",
          "author_login": "yaoyu-33",
          "committed_at": "2026-07-15T23:48:41Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "bc9ce776f3eda61f79e4c2ec80c8b8fd12a42ebb",
          "body": "* feat(retrieval): add Ministral3 embedding distillation recipe\n\nAdd EmbeddingDistillRecipe with RetrieverStudentWithProjection /\nRetrieverTeacherEmbeddingEncoder, distillation losses (cosine / MSE /\nInfoNCE-distill), intermediate-layer distillation, cross-tokenizer\ncached-teacher support, bi-encode\n[…]\nll.yaml\n\n* Update test_infonce.py\n\n* Update test_retrieval_distill_recipe.py\n\n---------\n\nSigned-off-by: Vinay Raman <viraman@nvidia.com>\nCo-authored-by: rnyak <16246900+rnyak@users.noreply.github.com>",
          "is_bot": false,
          "headline": "feat: add Ministral3 embedding distillation recipe (#3058)",
          "author_name": "vinay-raman",
          "author_login": "vinay-raman",
          "committed_at": "2026-07-15T21:40:55Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "0a0433ded1cc35d3471948b6daca99b20f4ab44c",
          "body": "chore(ci): bump claude review template to v1.8.4\n\nUpdate the FW-CI-templates _claude_review.yml pin from the v1.8.3 commit\n(7d857ec) to the equivalent v1.8.4 commit (209ac79), keeping the inline\nversion comment in sync.\n\nSigned-off-by: svcnemo-autobot <svcnemo-autobot@nvidia.com>",
          "is_bot": false,
          "headline": "chore(ci): AUT-852 bump claude review template to v1.8.4 (#3087)",
          "author_name": "svcnemo-autobot",
          "author_login": "svcnemo-autobot",
          "committed_at": "2026-07-15T15:37:03Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2b768ada9ca1c3a0ecf23271d326765320afe09f",
          "body": "* feat(speculative): add Gemma4 EAGLE-3 target support\n\nRegister Gemma4 (`Gemma4ForConditionalGeneration`) as an EAGLE-3 target so\n`train_eagle3.py` can train a draft against Gemma4 checkpoints (E2B/E4B/31B\ndense and 26B-A4B MoE).\n\nThe draft is Llama-style dense (it consumes only post-block hidden s\n[…]\nexpert MoE backbone is hooked and supervised\nidentically to a dense target; no code change is needed.\n\nSigned-off-by: khazic <khazzz1c@gmail.com>\n\n---------\n\nSigned-off-by: khazic <khazzz1c@gmail.com>",
          "is_bot": false,
          "headline": "feat(speculative): add Gemma4-26B-A4B MoE EAGLE-3 example config (#3079)",
          "author_name": "khazzz1c",
          "author_login": "khazic",
          "committed_at": "2026-07-15T14:38:50Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "ce24f7afc4b44a22426d92d8239aa0b8f20e2610",
          "body": "* feat(speculative): add Gemma4 EAGLE-3 target support\n\nRegister Gemma4 (`Gemma4ForConditionalGeneration`) as an EAGLE-3 target so\n`train_eagle3.py` can train a draft against Gemma4 checkpoints (E2B/E4B/31B\ndense and 26B-A4B MoE).\n\nThe draft is Llama-style dense (it consumes only post-block hidden s\n[…]\n8 GiB bf16) plus the draft fits on a single 80 GB\nGPU with freeze_embeddings and expandable_segments.\n\nSigned-off-by: khazic <khazzz1c@gmail.com>\n\n---------\n\nSigned-off-by: khazic <khazzz1c@gmail.com>",
          "is_bot": false,
          "headline": "feat(speculative): add Gemma4-31B EAGLE-3 example config (#3077)",
          "author_name": "khazzz1c",
          "author_login": "khazic",
          "committed_at": "2026-07-15T14:05:36Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "79bfece527396d1c77397f72890dc9b42905ff78",
          "body": "* fix(test): use SDPA for Nemotron-H HF reload\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n* fix(test): avoid timeout during rank-zero HF reload\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n---------\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>",
          "is_bot": false,
          "headline": "fix(test): use SDPA for Nemotron-H HF reload (#3060)",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-15T14:03:27Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9a6fee931ada2ab2f501d5af458f1342a51ba84b",
          "body": "* feat(speculative): add Gemma4 EAGLE-3 target support\n\nRegister Gemma4 (`Gemma4ForConditionalGeneration`) as an EAGLE-3 target so\n`train_eagle3.py` can train a draft against Gemma4 checkpoints (E2B/E4B/31B\ndense and 26B-A4B MoE).\n\nThe draft is Llama-style dense (it consumes only post-block hidden s\n[…]\n recipe as the E2B config; only the\ntarget path and output dirs change (E4B: 2560 hidden, 42 layers).\n\nSigned-off-by: khazic <khazzz1c@gmail.com>\n\n---------\n\nSigned-off-by: khazic <khazzz1c@gmail.com>",
          "is_bot": false,
          "headline": "feat(speculative): add Gemma4-E4B EAGLE-3 example config (#3073)",
          "author_name": "khazzz1c",
          "author_login": "khazic",
          "committed_at": "2026-07-15T13:58:45Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "e8e45a1d76e947c6e6534dcb93879bef6b3d1388",
          "body": "* fix(dllm): remove obsolete DiffusionGemma HF compatibility\n\nSigned-off-by: Zeyu Zhou <zezhou@nvidia.com>\n\n* docs(dllm): address DiffusionGemma review feedback\n\nSigned-off-by: Zeyu Zhou <zezhou@nvidia.com>\n\n---------\n\nSigned-off-by: Zeyu Zhou <zezhou@nvidia.com>",
          "is_bot": false,
          "headline": "fix(dllm): remove obsolete DiffusionGemma HF compatibility (#3067)",
          "author_name": "Zeyu Zhou",
          "author_login": "zyzhou5",
          "committed_at": "2026-07-15T13:45:37Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c144e4b7a9e2772c82e24e1592462295dc6d6667",
          "body": "Register Gemma4 (`Gemma4ForConditionalGeneration`) as an EAGLE-3 target so\n`train_eagle3.py` can train a draft against Gemma4 checkpoints (E2B/E4B/31B\ndense and 26B-A4B MoE).\n\nThe draft is Llama-style dense (it consumes only post-block hidden states from\nthe frozen target's text backbone) with two G\n[…]\ner locates the decoder under\n`model.language_model.layers`, and `num_hidden_layers` is read from `text_config`.\n\nAdds a unit test and an E2B example config.\n\nSigned-off-by: khazic <khazzz1c@gmail.com>",
          "is_bot": false,
          "headline": "feat(speculative): add Gemma4 EAGLE-3 target support (#3071)",
          "author_name": "khazzz1c",
          "author_login": "khazic",
          "committed_at": "2026-07-15T09:57:21Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "395e3de6c93bafcd7cefac808c99edfbb0caf2a2",
          "body": "* Fix Kimi K2 config loading without remote code\n\nSigned-off-by: HuiyingLi <willwin.lee@gmail.com>\n\n* fix: move Kimi K2 config under Kimi package\n\nSigned-off-by: HuiyingLi <willwin.lee@gmail.com>\n\n---------\n\nSigned-off-by: HuiyingLi <willwin.lee@gmail.com>",
          "is_bot": false,
          "headline": "fix: Kimi K2 config loading without remote code (#3065)",
          "author_name": "Huiying",
          "author_login": "HuiyingLi",
          "committed_at": "2026-07-15T02:31:13Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "55a3bfbe7a2b5ecb566e5a5b2d944ff2b496c259",
          "body": "Signed-off-by: HuiyingLi <willwin.lee@gmail.com>",
          "is_bot": false,
          "headline": "fix(ci): use HybridEP for Step 3.5 benchmark (#3069)",
          "author_name": "Huiying",
          "author_login": "HuiyingLi",
          "committed_at": "2026-07-15T00:16:54Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "4e809d0de1a9f2036e0e51822109936ffcc9f6e0",
          "body": "…t (#2357)\n\n* refactor(vlm-recipe): replace _target_ whitelist with marker-attribute opt-in\n\nbuild_model in recipes/vlm/finetune.py used to enumerate every accepted\nmodel _target_ inline -- the NeMoAutoModelFor* classmethods plus a\ngemma4-specific helper (_is_gemma4_joint_target) that did a lazy imp\n[…]\n\n(present via a fake module, absent via a forced ImportError) plus the\n_is_recipe_target None short-circuit, independent of installed deps.\n\n---------\n\nSigned-off-by: Abhishree <abhishreetm@gmail.com>",
          "is_bot": false,
          "headline": "refactor(vlm): gate build_model via recipe-side model-target allowlis…",
          "author_name": "Abhishree Thittenamane",
          "author_login": "athitten",
          "committed_at": "2026-07-14T16:06:51Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "80ba6a018a0c84517855c6125560fabe02c04c82",
          "body": "* fix(cp): preserve gradients when sharding VLM inputs\n\nSigned-off-by: HuiyingLi <willwin.lee@gmail.com>\n\n* test(cp): cover padded gradients and HSDP ranks\n\nSigned-off-by: HuiyingLi <willwin.lee@gmail.com>\n\n* test(cp): stress scaling with 200 padding rows\n\nSigned-off-by: HuiyingLi <willwin.lee@gmail.com>\n\n---------\n\nSigned-off-by: HuiyingLi <willwin.lee@gmail.com>",
          "is_bot": false,
          "headline": "fix(cp): preserve gradients when sharding VLM inputs (#2931)",
          "author_name": "Huiying",
          "author_login": "HuiyingLi",
          "committed_at": "2026-07-14T13:41:22Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "7c7237e5f12adb2c9363b68bfcc0526c068047ec",
          "body": "* feat(optim): support per-parameter-group learning rate\n\nAdd `param_group_overrides` to the optimizer config so a subset of\nparameters, matched by name, can be given its own optimizer parameter\ngroup with a learning-rate / weight-decay multiplier. This mirrors\nMegatron-LM's per-group `lr_mult` scal\n[…]\nusedAdam path needs a GPU, so it stays covered by the FSDP2 validation run\nrather than the CPU suite.\n\nSigned-off-by: khazic <khazzz1c@gmail.com>\n\n---------\n\nSigned-off-by: khazic <khazzz1c@gmail.com>",
          "is_bot": false,
          "headline": "feat(optim): support per-parameter-group learning rate (#3046)",
          "author_name": "khazzz1c",
          "author_login": "khazic",
          "committed_at": "2026-07-14T13:04:48Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "6c704d55ff9dd6204d1c7eab143a852c384e6987",
          "body": "* fix(distributed): checkpoint canonical child modules\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* proper fix\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* revert\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* rm\n\nSigned-off-by: A\n[…]\nnvidia.com>\n\n* fix(models): preserve wrapped fp32 buffers\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n---------\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>",
          "is_bot": false,
          "headline": "fix(models): handle checkpoint-wrapped fp32 buffers (#3059)",
          "author_name": "Alexandros Koumparoulis",
          "author_login": "akoumpa",
          "committed_at": "2026-07-14T10:12:47Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "55ed9becc4b65aa8a3f0e287473b3148f449ab55",
          "body": "… (#3045)\n\n* feat(datasets): add optional parallel pre-tokenization before packing\n\nSequence packing first runs one full pass over the dataset, which for a\nlazily-tokenizing map-style dataset (e.g. ChatDataset) tokenizes every\nsample serially in a single process. On realistic multi-turn SFT data thi\n[…]\npply all review suggestions from jgerh on the text-dataset guide (wording, casing, table formatting).\n\nSigned-off-by: khazic <khazzz1c@gmail.com>\n\n---------\n\nSigned-off-by: khazic <khazzz1c@gmail.com>",
          "is_bot": false,
          "headline": "feat(datasets): add optional parallel pre-tokenization before packing…",
          "author_name": "khazzz1c",
          "author_login": "khazic",
          "committed_at": "2026-07-14T06:46:25Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "6c47ea6681d1e9dd1361a2eb91a53302b7304bfd",
          "body": "…ath (#2993)\n\n* fix(moe): checkpoint trainable vision towers on the expert-parallel path\n\nThe MoE parallelizer's apply_ac only iterates the text/MTP decoder stack,\nand the generic FSDP2/DDP activation-checkpointing scope handling does not\nrun for expert-parallel configs (ep_size > 1), so MoE VLMs wi\n[…]\n-By: Claude Fable 5 <noreply@anthropic.com>\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n---------\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(moe): checkpoint trainable vision towers on the expert-parallel p…",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-14T01:09:35Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "9af3b45a8fefd817e9ff562e8e8780d54e8cf68e",
          "body": "…(#2997)\n\n* fix(optim): drop zero-numel local DTensor shards before TE FusedAdam\n\nFSDP2 shards every parameter along dim-0 across the shard group; any\nparameter with dim-0 smaller than the group (e.g. the biases, norm\nweights, and class/position embeddings of a small dense vision tower\nsharded over \n[…]\n-By: Claude Fable 5 <noreply@anthropic.com>\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n---------\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(optim): drop zero-numel local DTensor shards before TE FusedAdam …",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-13T20:34:16Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "37ac2dcd565cc126fa6ed5035274d56527c2e3d0",
          "body": "… (#3001)\n\nThe Tulu-3 VLM SFT recipes pointed make_meta_dataset at a local\ntulu3_train_meta.json that requires a one-time data-prep dump. That file\nis absent in Nemo-CI, so the runs failed with FileNotFoundError.\n\nAdd make_tulu3_dataset, which pulls allenai/tulu-3-sft-mixture straight\nfrom the Hub a\n[…]\nJSON path uses (_convert_sharegpt_to_conversation), keeping the data\ncomposition identical (no turn cap, system turns dropped, rows in split\norder). Point the three tulu3 recipes at it.\n\nFixes AM-628.",
          "is_bot": false,
          "headline": "fix(vlm): load Tulu-3 directly from HF Hub instead of local meta JSON…",
          "author_name": "Abhishree Thittenamane",
          "author_login": "athitten",
          "committed_at": "2026-07-13T18:26:44Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "446b43338896f1dd31768978078cc108f59544a7",
          "body": "…by version (#3025)\n\n* fix(distributed): resolve transformers-v5 module paths in VLM AC layer-group specs\n\nTransformers v5 nests the Qwen2-VL/Qwen2.5-VL towers under the shared\n`model.` backbone and flattened the Llava/Gemma3 CLIP/SigLIP vision\ntowers, so the layer-group FQNs in _get_model_layer_gro\n[…]\n-By: Claude Fable 5 <noreply@anthropic.com>\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n---------\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(distributed): resolve VLM AC layer-group paths structurally, not …",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-13T17:09:09Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "d9e2557241f931407a14c95b660d811402aac8d8",
          "body": "* fix(transformers): gate _tie_weights_nemo on tie_word_embeddings flag\n\n_tie_weights_nemo re-tied lm_head.weight to the input embedding for any\nmodel exposing _nemo_tied_weights_keys, without consulting\nconfig.tie_word_embeddings. For untied models this aliased away the\ntrained lm_head loaded by fr\n[…]\nmers): align nano4 source parity threshold\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\n\n---------\n\nSigned-off-by: Yuhe Zhang <yuhez@nvidia.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "test(transformers): add source-load parity coverage (#2960)",
          "author_name": "Yuhe Zhang",
          "author_login": "yuhezhang-ai",
          "committed_at": "2026-07-13T16:44:41Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "aaa158dc8e8f6f67a77a4f94da6a42bb0a66824e",
          "body": "Signed-off-by: khazic <khazzz1c@gmail.com>",
          "is_bot": false,
          "headline": "fix(dspark): omit unmeasured positional acceptance rates (#3050)",
          "author_name": "khazzz1c",
          "author_login": "khazic",
          "committed_at": "2026-07-13T15:04:08Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b968af6ecbee35dd22439c8a641b14d5c63b3073",
          "body": "* icnldue cutlass\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\n\n* Update uv lock\n\nSigned-off-by: NeMo Bot <nemo-bot@nvidia.com>\n\n---------\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>\nSigned-off-by: NeMo Bot <nemo-bot@nvidia.com>\nCo-authored-by: NeMo Bot <nemo-bot@nvidia.com>",
          "is_bot": false,
          "headline": "ci: include cutlass deps (#3056)",
          "author_name": "Alexandros Koumparoulis",
          "author_login": "akoumpa",
          "committed_at": "2026-07-13T14:50:17Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5bf95de57386a8c58c13f82ba7ef42931ed506b9",
          "body": "* fix(recipe): add Qwen3 MoE THD chat template\n\nSigned-off-by: khazic <khazzz1c@gmail.com>\n\n* fix(recipe): add OLMo generation chat template\n\nSigned-off-by: khazic <khazzz1c@gmail.com>\n\n---------\n\nSigned-off-by: khazic <khazzz1c@gmail.com>",
          "is_bot": false,
          "headline": "fix(recipe): add generation-marked chat templates (#3051)",
          "author_name": "khazzz1c",
          "author_login": "khazic",
          "committed_at": "2026-07-13T14:32:52Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "d6e5787d718d2ab53d6e39f85206bef5f982a51c",
          "body": "add uv\n\nSigned-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com>",
          "is_bot": false,
          "headline": "docs: add uv run prefix (#3057)",
          "author_name": "Alexandros Koumparoulis",
          "author_login": "akoumpa",
          "committed_at": "2026-07-13T13:41:52Z",
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                  }
                ],
                "max_points": 54
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              {
                "key": "commit_distribution",
                "name": "Commit distribution",
                "detail": "top contributor authored 24% of commits",
                "points": 17.2,
                "status": "partial",
                "details": [
                  {
                    "code": "top_contributor_share",
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                      "share": 24
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                  }
                ],
                "max_points": 22.5
              },
              {
                "key": "contributor_breadth",
                "name": "Contributor breadth",
                "detail": "99 contributors",
                "points": 13.5,
                "status": "met",
                "details": [
                  {
                    "code": "contributors_sampled",
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                      "count": 99
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                ],
                "max_points": 13.5
              },
              {
                "key": "openssf_scorecard_contributors",
                "name": "OpenSSF Scorecard: Contributors",
                "detail": "project has 24 contributing companies or organizations",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
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            ]
          },
          {
            "key": "responsiveness",
            "band": "good",
            "name": "Issue & PR responsiveness",
            "note": null,
            "notes": [],
            "value": 79,
            "inputs": {
              "merged_prs": 2071,
              "open_issues": 151,
              "closed_issues": 361,
              "issue_closed_ratio": 0.705,
              "closed_unmerged_prs": 399
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            "components": [
              {
                "key": "issue_resolution",
                "name": "Issue resolution",
                "detail": "70% of issues closed",
                "points": 33,
                "status": "partial",
                "details": [
                  {
                    "code": "issues_closed_share",
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                      "share": 70
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                  }
                ],
                "max_points": 46.75
              },
              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "2071/2470 decided PRs merged",
                "points": 32.1,
                "status": "partial",
                "details": [
                  {
                    "code": "decided_prs_merged",
                    "params": {
                      "merged": 2071,
                      "decided": 2470
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                  }
                ],
                "max_points": 38.25
              },
              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
                "detail": "Found 27/30 approved changesets -- score normalized to 9",
                "points": 13.5,
                "status": "partial",
                "details": [],
                "max_points": 15
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            ]
          },
          {
            "key": "stewardship",
            "band": "moderate",
            "name": "Ownership & stewardship",
            "note": null,
            "notes": [],
            "value": 66,
            "inputs": {
              "followers": 1399,
              "owner_type": "Organization",
              "is_verified": null,
              "owner_login": "NVIDIA-NeMo",
              "public_repos": 27,
              "account_age_days": 423
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            "components": [
              {
                "key": "ownership_backing",
                "name": "Ownership backing",
                "detail": "organization-owned",
                "points": 30,
                "status": "met",
                "details": [
                  {
                    "code": "owner_organization",
                    "params": {}
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                ],
                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "1,399 followers of NVIDIA-NeMo",
                "points": 22.6,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_followers",
                    "params": {
                      "count": 1399,
                      "login": "NVIDIA-NeMo"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "27 public repos, account ~1 yr old",
                "points": 12.9,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 27
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                  },
                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 1
                    }
                  }
                ],
                "max_points": 25
              }
            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "packages": [
                "nemo-automodel"
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              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 22
            },
            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on pypi",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "packages_published",
                    "params": {
                      "count": 1,
                      "ecosystems": "pypi"
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                  }
                ],
                "max_points": 25
              },
              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 22 days ago",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "publish_recency",
                    "params": {
                      "days": 22
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                  }
                ],
                "max_points": 35
              },
              {
                "key": "version_history",
                "name": "Version history",
                "detail": "7 published versions",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "published_versions",
                    "params": {
                      "count": 7
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                  }
                ],
                "max_points": 20
              },
              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "package_not_deprecated",
                    "params": {}
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                ],
                "max_points": 20
              }
            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "excellent",
        "name": "Engineering Quality",
        "value": 96,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "excellent",
            "name": "Engineering practices",
            "note": null,
            "notes": [],
            "value": 94,
            "inputs": {
              "has_ci": true,
              "has_tests": true,
              "has_editorconfig": false,
              "has_linter_config": true,
              "has_precommit_config": true
            },
            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "22 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 22
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                  }
                ],
                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
                "detail": ".flake8, .pylintrc",
                "points": 16,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
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                  }
                ],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 9.6,
                "status": "met",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "topics": [
                "llm",
                "vlm",
                "finetuning",
                "gemma3",
                "llama",
                "llama3",
                "mistral",
                "openai",
                "qwen3",
                "gpt-oss",
                "qwen3-next",
                "glm",
                "kimi-k2",
                "deepseek-v3-2",
                "minimax-m2",
                "gemma4",
                "qwen3-6",
                "deepseek-v4",
                "agent"
              ],
              "has_wiki": true,
              "homepage": "https://docs.nvidia.com/nemo/automodel/nightly/index.html",
              "has_readme": true,
              "has_docs_dir": true,
              "has_description": true
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "https://docs.nvidia.com/nemo/automodel/nightly/index.html",
                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": "19 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
                      "count": 19
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                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 64,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "moderate",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "branch_protection",
                    "signed_releases"
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 55,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 16,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 2,
              "scorecard_aggregate": 5.5
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
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                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 27/30 approved changesets -- score normalized to 9",
                "points": 6.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 24 contributing companies or organizations",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "no update tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "78 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:nemo-automodel@0.5.0 runtime dependency closure — what installing the published package pulls in — 131 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:nemo-automodel@0.5.0",
                  "assessed": 131
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 131,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
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                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
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                ],
                "max_points": 40
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            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 131,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "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": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 6
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "moderate",
        "name": "AI Readiness",
        "value": 68,
        "weight": 0,
        "metrics": [
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            "key": "ai_agent_context",
            "band": "excellent",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 85,
            "inputs": {
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              "legible_history_share": 1,
              "agent_instruction_files": [
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              "agent_instruction_max_bytes": 13233
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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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                    "code": "file_list",
                    "params": {
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                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "100 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 100,
                      "sampled": 100
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                  }
                ],
                "max_points": 40
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            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 71,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
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              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [
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                "docs/fern/Makefile",
                "nemo_automodel/components/datasets/llm/megatron/Makefile"
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              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [],
              "agent_commit_share": 0.24,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
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