公开记录优秀
软件健康报告模式 0.26.0 · 指标 1.13.0 · 2026-07-22 04:17 UTC
axolotl-ai-cloud / axolotl
Go ahead and axolotl questions
axolotl-ai-cloud/axolotl 的健康指数为 100 分中的 85 分，处于「优秀」区间。 其得分最高的类别是Vitality（99/100），最低的是Security（66/100）。 最近一次更新在今天。 近期的大部分工作由 1 位贡献者完成。
85
总分 / 100软件健康指数
指标归入加权类别，统一采用 1–100 量表。总体分先取类别加权平均；当公开证据触发高风险司法辖区政策时，评级会按政策调整，并设置 49（有风险）的上限。AI 就绪度不计入总体分。
85
优秀85-100堪称典范；基本满足所有检验标准
良好70-84健康；仅有轻微不足
中等50-69可接受，但存在明显不足；建议进行审查
存在风险30-49存在重大薄弱环节；采用时应保持审慎
危急1-29问题严重（项目被弃置、仅有单一维护者、缺乏基本工程规范）
评分画像
每条轴代表一个类别。形状比平均值更重要——健康的对象会填满整个图形，而“一峰一谷”式画像意味着某一维度的优势正掩盖另一维度的风险。
所有权
软件包生态系统
| 注册表 | 软件包 | 版本 | 月下载量 | 版本数 | 最近发布 |
|---|---|---|---|---|---|
| PyPI | axolotl | 0.18.0 | - | 27 | 4 天前 |
按类别列示的指标
活力
项目是否仍有生命——是否仍在编写代码，是否仍在发布版本？
99
开发活跃度
99优秀
评分方式
| 36/36 | 推送新近度 — 最近一次推送于 0 天前 |
| 35.3/36 | 提交节奏 — 52 周中有 51 周有提交 |
| 18/18 | 提交量 — 最近一年 589 次提交 |
| 10/10 | OpenSSF Scorecard：Maintained — 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10 |
所用输入
| commits_last_year | 589 |
| human_commit_share | 0.95 |
| days_since_last_push | 0 |
| active_weeks_last_year | 51 |
发布纪律
100优秀
评分方式
| 27/27 | 有发布版本 — 已发布 32 个发布版本 |
| 36/36 | 发布时效 — 最近一次发布版本于 4 天前 |
| 27/27 | 发布节奏 — 约每 37 天发布一次 |
| 0/10 | OpenSSF Scorecard：Signed-Releases — 无数据 |
所用输入
| releases_count | 32 |
| latest_release_tag | v0.18.0 |
| releases_from_tags | 否 |
| days_since_latest_release | 4 |
| mean_days_between_releases | 37 |
已排除计分（无数据或不适用）：OpenSSF Scorecard：Signed-Releases。 其余权重已重新归一化。
社区与采用
项目是否拥有用户、下载量与关注度，并具备欢迎贡献者参与的配置？
94
流行度与采用
95优秀
评分方式
| 60/60 | 星标 — 12,228 个星标 |
| 25/25 | 复刻 — 1,396 个复刻 |
| 9.8/15 | 关注者 — 58 位关注者 |
所用输入
| forks | 1,396 |
| stars | 12,228 |
| watchers | 58 |
| growth_state | organic |
| growth_factor_pct | 100 |
社区健康
92优秀
评分方式
| 22.5/22.5 | README |
| 22.5/22.5 | 许可证 — 可识别的许可证（Apache-2.0） |
| 18/18 | CONTRIBUTING 指南 |
| 13.5/13.5 | 行为准则 |
| 0/7.2 | 议题模板 |
| 6.3/6.3 | PR 模板 |
所用输入
| has_readme | 是 |
| has_license | 是 |
| has_contributing | 是 |
| has_issue_template | 否 |
| has_code_of_conduct | 是 |
| has_pull_request_template | 是 |
可持续性与治理
项目能否在其成员之外延续——巴士系数、响应能力、由谁支持，以及软件包的维护状况？
69
维护者韧性（巴士系数）
43存在风险
评分方式
| 9/54 | 巴士系数 — 1 位贡献者贡献了半数提交 |
| 10.2/22.5 | 提交分布 — 头号贡献者编写了 55% 的提交 |
| 13.5/13.5 | 贡献者广度 — 98 位贡献者 |
| 10/10 | OpenSSF Scorecard：Contributors — project has 27 contributing companies or organizations |
所用输入
| bus_factor | 1 |
| contributors_sampled | 98 |
| top_contributor_share | 0.548 |
议题与 PR 响应能力
82良好
评分方式
| 41.4/46.8 | 议题解决 — 88% 的议题已关闭 |
| 34.3/38.3 | PR 接受 — 已裁定的 PR 中 2,279/2,545 已合并 |
| 6/15 | OpenSSF Scorecard：Code-Review — Found 11/25 approved changesets -- score normalized to 4 |
所用输入
| merged_prs | 2,279 |
| open_issues | 115 |
| closed_issues | 882 |
| issue_closed_ratio | 0.885 |
| closed_unmerged_prs | 266 |
所有权与托管责任
61中等
评分方式
| 30/30 | 所有权背书 — 组织持有 |
| 0/20 | 已验证域名 |
| 16.5/25 | 所有者影响力 — axolotl-ai-cloud 有 196 位关注者 |
| 14.4/25 | 既往记录 — 22 个公开仓库，账户约 2 年 |
所用输入
| followers | 196 |
| owner_type | Organization |
| is_verified | — |
| owner_login | axolotl-ai-cloud |
| public_repos | 22 |
| account_age_days | 823 |
软件包维护
100优秀
评分方式
| 25/25 | 已发布且可解析 — pypi 上有 1 个软件包 |
| 35/35 | 发布时效 — 最近一次发布于 4 天前 |
| 20/20 | 版本历史 — 27 个已发布版本 |
| 20/20 | 未被弃用 — 活跃，未被弃用或撤回 |
所用输入
| packages | axolotl |
| ecosystems | pypi |
| any_deprecated | 否 |
| min_days_since_publish | 4 |
工程质量
基础的工程与文档实践是否到位？
96
工程实践
94优秀
评分方式
| 24/24 | CI 工作流 — 12 个工作流 |
| 24/24 | 存在测试 |
| 16/16 | Linter 配置 |
| 9.6/9.6 | Pre-commit 钩子 |
| 6.4/6.4 | .editorconfig |
| 14/20 | OpenSSF Scorecard：CI-Tests — 23 out of 30 merged PRs checked by a CI test -- score normalized to 7 |
所用输入
| has_ci | 是 |
| has_tests | 是 |
| has_editorconfig | 是 |
| has_linter_config | 是 |
| has_precommit_config | 是 |
文档
100优秀
评分方式
| 30/30 | README |
| 25/25 | 文档目录 |
| 15/15 | 文档 / 主页站点 — https://docs.axolotl.ai |
| 10/10 | 仓库描述 |
| 10/10 | 主题标签 — 2 个主题标签 |
| 10/10 | Wiki |
所用输入
| topics | fine-tuning, llm |
| has_wiki | 是 |
| homepage | https://docs.axolotl.ai |
| has_readme | 是 |
| has_docs_dir | 是 |
| has_description | 是 |
安全
可见的安全与供应链实践是否稳固，且不存在未解决的高风险司法辖区暴露？
66
安全态势
67中等
评分方式
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — 无数据 |
| 1.8/2.5 | CI-Tests — 23 out of 30 merged PRs checked by a CI test -- score normalized to 7 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 3/7.5 | Code-Review — Found 11/25 approved changesets -- score normalized to 4 |
| 2.5/2.5 | Contributors — project has 27 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | 许可证 — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — 无数据 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — 无数据 |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 4.5/7.5 | Vulnerabilities — 4 existing vulnerabilities detected |
所用输入
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 6.7 |
已排除计分（无数据或不适用）：branch_protection, pinned_dependencies, signed_releases。 其余权重已重新归一化。
依赖安全公告
62中等
评分方式
| 12/35 | 直接依赖不含已知公告 — 2 个受影响：gradio 6.10.0 (high 7.5), python-dotenv 1.0.1 (moderate 6.6) |
| 0/25 | 间接依赖不含已知公告 — 在此范围内，传递依赖集合无法与开发和测试依赖区分 |
| 34.3/40 | 没有长期未处理的公告 — 1 个携带公告的软件包超过 90 天未处理；最早一条发布于 92 天前 |
所用输入
| source | osv |
| advisories | 7 |
| affected_packages | 2 |
| assessed_packages | 41 |
| unassessed_packages | 18 |
| affected_by_severity | high 1, moderate 1 |
| direct_affected_packages | 2 |
已排除计分（无数据或不适用）：间接依赖不含已知公告。 其余权重已重新归一化。 已将 41 个已解析依赖与 OSV 比对。 有 18 项无法评估——没有已解析的版本、生态系统不受支持，或超出所报告的软件包清单。 该仓库未发布任何索引可解析的软件包，因此改为评估仓库依赖图。该图将开发与测试版本固定同交付的依赖混在一起，因此仅对声明的运行时依赖计分；传递性发现仅作为背景信息列出，不计入评分。 未对可达性进行分析。
AI 就绪度
该仓库在多大程度上具备与 AI 编码代理协同开发与维护的条件？这是一枚独立的实验性徽章——权重为 0.0，因此单独呈现，不影响总体健康评分。
74
AI 代理上下文与指引
85优秀
评分方式
| 45/45 | 代理指令 — AGENTS.md, CLAUDE.md |
| 0/15 | 机器可读文档（llms.txt） |
| 40/40 | 可读的提交历史 — 95 次人类提交中有 92 次说明了意图（结构化标题或解释性正文） |
所用输入
| has_llms_txt | 否 |
| legible_history_share | 0.968 |
| agent_instruction_files | AGENTS.md, CLAUDE.md |
| agent_instruction_max_bytes | 6,229 |
评分方式
| 0/18 | 一条命令的引导启动 |
| 22/22 | 自动化测试 |
| 11/11 | Lint / 格式化配置 |
| 11/11 | 静态类型检查 — .mypy.ini |
| 10/10 | 可复现环境 — Dockerfile |
| 6/10 | 已体现的代理实践 — 最近 100 次提交中有 3 次由代理编写或署名代理 |
| 8/8 | 自动化维护 — 最近 100 次提交中有 5 次为自动依赖更新 |
| 0/10 | OpenSSF Scorecard：Pinned-Dependencies — 无数据 |
所用输入
| has_nix | 否 |
| has_tests | 是 |
| lockfiles | — |
| has_dockerfile | 是 |
| typed_language | 否 |
| bootstrap_files | — |
| has_devcontainer | 否 |
| has_linter_config | 是 |
| typecheck_configs | .mypy.ini |
| agent_commit_share | 0.03 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0.05 |
已排除计分（无数据或不适用）：OpenSSF Scorecard：Pinned-Dependencies。 其余权重已重新归一化。
面向模型的代码可读性
81良好
评分方式
| 27/45 | 可类型检查的代码 — Python，已配置类型检查（.mypy.ini） |
| 54.3/55 | 可控的文件大小 — 采样的 901 个源文件中有 12 个超过 60KB |
所用输入
| primary_language | Python |
| largest_source_bytes | 136,466 |
| source_files_sampled | 901 |
| oversized_source_files | 12 |
机器可读接口
40存在风险
评分方式
| 0/40 | API 模式（OpenAPI/GraphQL/proto） |
| 0/20 | MCP 服务器 |
| 40/40 | 可运行示例 — examples, notebooks |
所用输入
| example_dirs | examples, notebooks |
| has_mcp_signal | 否 |
| api_schema_files | — |
关键数据
12,228GitHub 星标
98贡献者
589最近 12 个月提交数
0距最近推送天数
32发布版本数
1巴士系数（bus factor）
115开放议题
PyPI软件包生态系统数
数据采集警告
- deps.dev does not index pypi:axolotl@0.18.0; advisories assessed against the repository dependency graph instead
更多细节
Star 与 Fork 历史 12,228 ★ / 1,396 ⇿
12,228Star
1,396Fork
27发布
每颗 star 和每个 fork 的添加时间，来自 GitHub 并按天汇总。累计增长位于其构成来源——每日新增——的正上方，二者可相互对照：稳定的自然增长与短暂的突增形态截然不同。当这一差别可被衡量时，它会作为增长真实性予以报告。
仅显示最近的历史——该仓库超出采集窗口，因此未采集最早的历史记录。
主版本 0次版本 14修订 11
每个点涵盖 3 天。
OpenSSF Scorecard 6.7 / 10
6.7综合
来自开源项目 OpenSSF Scorecard 的独立、工具无关的安全评估。每项检查奖励的是安全实践本身，而非特定供应商的工具。Scorecard 无法判定的检查项标记为 不适用，并从安全评分中剔除（绝不按零分计）。
| 10 | Binary-Artifacts | no binaries found in the repo |
| 不适用 | Branch-Protection | 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 |
| 7 | CI-Tests | 23 out of 30 merged PRs checked by a CI test -- score normalized to 7 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 4 | Code-Review | Found 11/25 approved changesets -- score normalized to 4 |
| 10 | Contributors | project has 27 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 不适用 | Pinned-Dependencies | internal error: internal error: invalid Dockerfile |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 10 | Security-Policy | security policy file detected |
| 不适用 | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 6 | Vulnerabilities | 4 existing vulnerabilities detected |
直接依赖 58
| 注册表 | 软件包 | 版本约束 | 清单文件 |
|---|---|---|---|
| PyPI | torch | >=2.11.0,<=2.12.1 | pyproject.toml |
| PyPI | packaging | ==26.0 | pyproject.toml |
| PyPI | huggingface_hub | ==1.17.0 | pyproject.toml |
| PyPI | peft | ==0.19.1 | pyproject.toml |
| PyPI | tokenizers | ==0.22.2 | pyproject.toml |
| PyPI | transformers | ==5.14.1 | pyproject.toml |
| PyPI | accelerate | ==1.13.0 | pyproject.toml |
| PyPI | datasets | ==4.8.4 | pyproject.toml |
| PyPI | trl | ==1.8.0 | pyproject.toml |
| PyPI | hf_xet | ==1.4.3 | pyproject.toml |
| PyPI | kernels | ==0.15.2 | pyproject.toml |
| PyPI | trackio | ==0.19.0 | pyproject.toml |
| PyPI | typing-extensions | ==4.15.0 | pyproject.toml |
| PyPI | optimum | ==1.16.2 | pyproject.toml |
| PyPI | hf_transfer | — | pyproject.toml |
| PyPI | sentencepiece | — | pyproject.toml |
| PyPI | gradio | ==6.10.0 | pyproject.toml |
| PyPI | modal | ==1.3.0.post1 | pyproject.toml |
| PyPI | pydantic | ==2.12.5 | pyproject.toml |
| PyPI | addict | — | pyproject.toml |
| PyPI | fire | — | pyproject.toml |
| PyPI | PyYAML | ==6.0.3 | pyproject.toml |
| PyPI | requests | — | pyproject.toml |
| PyPI | wandb | — | pyproject.toml |
| PyPI | einops | — | pyproject.toml |
| PyPI | colorama | — | pyproject.toml |
| PyPI | numba | >=0.63.1,<1.0 | pyproject.toml |
| PyPI | numpy | >=2.1,<3.0 | pyproject.toml |
| PyPI | typer | ==0.25.1 | pyproject.toml |
| PyPI | evaluate | ==0.4.1 | pyproject.toml |
| PyPI | scipy | — | pyproject.toml |
| PyPI | nvidia-ml-py | ==12.560.30 | pyproject.toml |
| PyPI | art | — | pyproject.toml |
| PyPI | tensorboard | — | pyproject.toml |
| PyPI | python-dotenv | ==1.0.1 | pyproject.toml |
| PyPI | s3fs | ==2025.10.0 | pyproject.toml |
| PyPI | gcsfs | ==2025.10.0 | pyproject.toml |
| PyPI | adlfs | ==2026.2.0 | pyproject.toml |
| PyPI | ocifs | ==1.3.2 | pyproject.toml |
| PyPI | zstandard | ==0.22.0 | pyproject.toml |
| PyPI | fastcore | — | pyproject.toml |
| PyPI | lm_eval | ==0.4.11 | pyproject.toml |
| PyPI | langdetect | ==1.0.9 | pyproject.toml |
| PyPI | immutabledict | ==4.2.0 | pyproject.toml |
| PyPI | antlr4-python3-runtime | ==4.13.2 | pyproject.toml |
| PyPI | schedulefree | ==1.4.1 | pyproject.toml |
| PyPI | openenv-core | ==0.1.0 | pyproject.toml |
| PyPI | axolotl-contribs-lgpl | ==0.0.7 | pyproject.toml |
| PyPI | axolotl-contribs-mit | ==0.0.6 | pyproject.toml |
| PyPI | posthog | ==6.7.11 | pyproject.toml |
| PyPI | mistral-common | ==1.11.5 | pyproject.toml |
| PyPI | bitsandbytes | ==0.49.1 | pyproject.toml |
| PyPI | triton | >=3.4.0 | pyproject.toml |
| PyPI | xformers | >=0.0.33.post2 | pyproject.toml |
| PyPI | liger-kernel | ==0.8.0 | pyproject.toml |
| PyPI | torchao | ==0.17.0 | pyproject.toml |
| PyPI | fla-core | ==0.4.1 | pyproject.toml |
| PyPI | flash-linear-attention | ==0.4.1 | pyproject.toml |
全部依赖 59
来自 GitHub 依赖图的完整解析依赖集合：58 个直接依赖与 1 个间接（传递）软件包。仓库提交锁文件时，传递闭包才是完整的。
| 注册表 | 软件包 | 版本 | 关系 |
|---|---|---|---|
| PyPI | accelerate | 1.13.0 | 直接 |
| PyPI | addict | — | 直接 |
| PyPI | adlfs | 2026.2.0 | 直接 |
| PyPI | antlr4-python3-runtime | 4.13.2 | 直接 |
| PyPI | art | — | 直接 |
| PyPI | axolotl-contribs-lgpl | 0.0.7 | 直接 |
| PyPI | axolotl-contribs-mit | 0.0.6 | 直接 |
| PyPI | bitsandbytes | 0.49.1 | 直接 |
| PyPI | colorama | — | 直接 |
| PyPI | datasets | 4.8.4 | 直接 |
| PyPI | einops | — | 直接 |
| PyPI | evaluate | 0.4.1 | 直接 |
| PyPI | fastcore | — | 直接 |
| PyPI | fire | — | 直接 |
| PyPI | fla-core | 0.4.1 | 直接 |
| PyPI | flash-linear-attention | 0.4.1 | 直接 |
| PyPI | gcsfs | 2025.10.0 | 直接 |
| PyPI | gradio | 6.10.0 | 直接 |
| PyPI | hf-transfer | — | 直接 |
| PyPI | hf-xet | 1.4.3 | 直接 |
| PyPI | huggingface-hub | 1.17.0 | 直接 |
| PyPI | immutabledict | 4.2.0 | 直接 |
| PyPI | kernels | 0.15.2 | 直接 |
| PyPI | langdetect | 1.0.9 | 直接 |
| PyPI | liger-kernel | 0.8.0 | 直接 |
| PyPI | lm-eval | 0.4.11 | 直接 |
| PyPI | mistral-common | 1.11.5 | 直接 |
| PyPI | modal | 1.3.0.post1 | 直接 |
| PyPI | numba | — | 直接 |
| PyPI | numpy | — | 直接 |
| PyPI | nvidia-ml-py | 12.560.30 | 直接 |
| PyPI | ocifs | 1.3.2 | 直接 |
| PyPI | openenv-core | 0.1.0 | 直接 |
| PyPI | optimum | 1.16.2 | 直接 |
| PyPI | packaging | 26.0 | 直接 |
| PyPI | peft | 0.19.1 | 直接 |
| PyPI | posthog | 6.7.11 | 直接 |
| PyPI | pydantic | 2.12.5 | 直接 |
| PyPI | python-dotenv | 1.0.1 | 直接 |
| PyPI | pyyaml | 6.0.3 | 直接 |
| PyPI | requests | — | 直接 |
| PyPI | s3fs | 2025.10.0 | 直接 |
| PyPI | schedulefree | 1.4.1 | 直接 |
| PyPI | scipy | — | 直接 |
| PyPI | sentencepiece | — | 直接 |
| PyPI | tensorboard | — | 直接 |
| PyPI | tokenizers | 0.22.2 | 直接 |
| PyPI | torch | — | 直接 |
| PyPI | torchao | 0.17.0 | 直接 |
| PyPI | trackio | 0.19.0 | 直接 |
| PyPI | transformers | 5.14.1 | 直接 |
| PyPI | triton | — | 直接 |
| PyPI | trl | 1.8.0 | 直接 |
| PyPI | typer | 0.25.1 | 直接 |
| PyPI | typing-extensions | 4.15.0 | 直接 |
| PyPI | wandb | — | 直接 |
| PyPI | xformers | — | 直接 |
| PyPI | zstandard | 0.22.0 | 直接 |
| PyPI | runpod | — | 间接 |
依赖安全公告 2
该仓库未发布可被索引解析的包，因此评估的是其自身的依赖图——共 41 个包，其中也包含从不交付的开发与测试版本固定：2 个存在已知公告，2 个为直接依赖。 有 18 个无法评估——没有已解析的版本、生态系统不受支持，或不在所列包清单之内。
| 软件包 | 版本 | 关系 | 严重程度 | 公告数 | 修复版本 |
|---|---|---|---|---|---|
| gradio | 6.10.0 | 直接 | 高 | 5 | 6.16.0 |
| python-dotenv | 1.0.1 | 直接 | 中 | 2 | 1.2.2 |
公告表示依赖图中记录的版本落入某条公告的受影响范围。可达性未经分析，且依赖图包含开发与测试的版本固定——某项发现可能只涉及工具链而非交付的软件。
原始 JSON 报告 机器可读
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"author_login": "winglian",
"committed_at": "2026-07-12T06:22:50Z",
"body_truncated": false,
"is_coding_agent": false
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"body": "…2 weight scaling (#3832) [skip ci]",
"is_bot": false,
"headline": "fix(glm_dsa): follow upstream indexer rope change and match stock fp3…",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-07-12T06:22:39Z",
"body_truncated": false,
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{
"oid": "9bbe07fd4f1bea1e544912748c436ffd4cf5ff8f",
"body": "…e stream (#3833) [skip ci]",
"is_bot": false,
"headline": "fix(offload): clone offset/non-contiguous saved tensors on the comput…",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-07-12T06:22:25Z",
"body_truncated": false,
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{
"oid": "04cf82c75725bbff061b0f2303dc208ee2c0e24a",
"body": "…labels (#3834) [skip ci]",
"is_bot": false,
"headline": "cleanup pytest matrix and gate expensive GPU tests behind maintainer …",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-07-12T06:21:45Z",
"body_truncated": false,
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"oid": "d1335537598f32cac89251d0b6762af5b47888e4",
"body": "…3826)\n\nliger-kernel 0.8.0 dispatches llama4, qwen3, and qwen3_moe natively via\nMODEL_TYPE_TO_APPLY_LIGER_FN, which plugin.py consults before its elif chain.\nBecause these three are not in axolotl_override_liger_fn, the generic native\npath always runs and the elif branches are dead code.\n\nNative 0.8\n[…]\n elif branches and their now-orphaned model modules. Flagged by\nthe liger-upstream-sync audit ([1] shadowed hand-patches); the audit is clean\n(exit 0) against the pinned liger 0.8.0 after this change.",
"is_bot": false,
"headline": "refactor(liger): drop shadowed llama4/qwen3/qwen3_moe hand-patches (#…",
"author_name": "thad0ctor",
"author_login": "thad0ctor",
"committed_at": "2026-07-11T19:38:37Z",
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"oid": "2e3ae4a9b2f2963a7e03c2f1a964837190c87790",
"body": "…) [skip ci]\n\n* test: mark flaky VRAM-leak regression test as non-strict xfail\n\ntest_no_vram_leak_regression intermittently fails in CI. Keep running it\nfor signal, but report failures as XFAIL instead of failing the job.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n* mark whole test class as flaky\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "test: mark flaky VRAM-leak regression test as non-strict xfail (#3807…",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-07-11T08:41:40Z",
"body_truncated": false,
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{
"oid": "4f8a54b87a07b11028a2cc5f4d0bba289f428c26",
"body": null,
"is_bot": false,
"headline": "fix: set min cooldown for dependabot (#3820) [skip ci]",
"author_name": "NanoCode012",
"author_login": "NanoCode012",
"committed_at": "2026-07-10T10:06:26Z",
"body_truncated": false,
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{
"oid": "211aa55cce1e65db7c5402be73544119f5d2e599",
"body": "* fix: do not force trust remote code during preprocess\n\n* chore: swap model used",
"is_bot": false,
"headline": "fix: do not force trust remote code during preprocess (#3819)",
"author_name": "NanoCode012",
"author_login": "NanoCode012",
"committed_at": "2026-07-10T09:54:09Z",
"body_truncated": false,
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"oid": "6401a353c68c22e00e0a4e257b8e8594db69d17a",
"body": "…805)\n\nThe gating bmm in the ScatterMoE forward is autocast-eligible, so under\nbf16/fp16 autocast the autograd Function output takes the autocast dtype\nwhile the saved output_expanded (written by the autocast-unaware Triton\nkernel from fp32 input) stays fp32. Backward then evaluated fp32 @ bf16 in\nt\n[…]\nd_out to output_expanded.dtype at the\ntop of the gates branch in both ParallelLinear and ScatterMoELoRA so the\nwhole gates backward runs in a single dtype; it is a no-op when the dtypes\nalready match.",
"is_bot": false,
"headline": "fix(scattermoe): upcast gates-branch grad_out under bf16 autocast (#3…",
"author_name": "Sung Hyun Cho",
"author_login": "roycho96",
"committed_at": "2026-07-09T17:22:58Z",
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},
{
"oid": "6543c33c766533bb833db0dd93070c06871fa506",
"body": null,
"is_bot": false,
"headline": "add torch 2.13 to base image build (#3816)",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-07-09T17:21:10Z",
"body_truncated": false,
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{
"oid": "5474569718914870134a35884463acc6ff8626b6",
"body": null,
"is_bot": false,
"headline": "Fix/lora attn kernel dropout gate (#3806)",
"author_name": "thad0ctor",
"author_login": "thad0ctor",
"committed_at": "2026-07-09T16:49:02Z",
"body_truncated": false,
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{
"oid": "f6d43791def788f805e9b18b53ff0a882bb8de21",
"body": "* feat(kernels): add NVFP4 LoRA sonicmoe support\n\n* feat(kernels): sonicmoe SM100 NVFP4 W4A4 host driver + correctness gates\n\nCompose quack's GemmGatedSm100/GemmDefaultSm100 with sf_vec_size=16\n(blockscaled NVFP4 mainloop + gated epilogue, zero quack kernel changes)\nbehind our own compile driver, si\n[…]\nNext-80B\n\n* chore: cleanup benchmarks\n\n* feat: improve doc for release\n\n* chore: improve doc and cleanup comments\n\n* fix: cleanup nvfp4 example configs\n\n* chore: update base readme\n\n* Update README.md",
"is_bot": false,
"headline": "feat(kernels): add NVFP4 LoRA sonicmoe support (#3780)",
"author_name": "NanoCode012",
"author_login": "NanoCode012",
"committed_at": "2026-07-09T11:16:33Z",
"body_truncated": true,
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{
"oid": "8284de3a29191a3b92b6d6fdf5646e05603e496d",
"body": "* fix(expert_parallel): renormalize gate after capacity drop; restore DeepSpeed validator branches; guard dead tied-keys patch\n\n* fix: review pass",
"is_bot": false,
"headline": "fix(expert_parallel): post-fix for glm dsa branch (#3781) [skip ci]",
"author_name": "NanoCode012",
"author_login": "NanoCode012",
"committed_at": "2026-07-09T11:15:33Z",
"body_truncated": false,
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},
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"oid": "e9def20638c0ba5a4b1fc775748ee865fccfe21a",
"body": "…4) [skip ci]\n\n* feat(ci): harden workflow checkout credentials + add dependabot\n\n* fix(ci): disable setup-uv cache on pypi publish path (cache poisoning)\n\n* chore(deps): pin ranged deps to exact versions, drop uv prerelease=allow",
"is_bot": false,
"headline": "feat(ci): harden workflow checkout credentials + add dependabot (#380…",
"author_name": "NanoCode012",
"author_login": "NanoCode012",
"committed_at": "2026-07-09T11:10:57Z",
"body_truncated": false,
"is_coding_agent": false
},
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"oid": "9200864a09094ecea2fb1863b5da0876bb461350",
"body": "* feat: add support matrix\n\n* fix: simplify\n\n* fix: simplify docs\n\n* docs: add support matrix link and remove em-dashes in readme",
"is_bot": false,
"headline": "feat(doc): add support matrix (#3782) [skip ci]",
"author_name": "NanoCode012",
"author_login": "NanoCode012",
"committed_at": "2026-07-09T11:03:10Z",
"body_truncated": false,
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{
"oid": "c7e3e80e226c70fec26996a850b53fa2397c6742",
"body": "…n attacks (#3760) [skip ci]\n\n* ci: pin all GitHub Actions to full commit SHAs to prevent supply-chain attacks\n\n* feat: add exact tags for ref\n\n---------\n\nCo-authored-by: XananasX7 <XananasX7@users.noreply.github.com>\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
"is_bot": false,
"headline": "ci: pin all GitHub Actions to full commit SHAs to prevent supply-chai…",
"author_name": "XananasX",
"author_login": "XananasX7",
"committed_at": "2026-07-09T10:21:44Z",
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{
"oid": "51b840f3feac1cd26f5d5b584ee93bb5c5afd099",
"body": "… ci]\n\n* docs: document CI/lint/test requirements and e2e-local setup for contributors\n\nDocument the pinned tool versions CI uses (ruff/ruff-format 0.15.8, mypy\n1.19.1, bandit 1.9.4) and add guidance to run pre-commit instead of a\nsystem-installed ruff/mypy so local lint output matches CI.\n\nAlso doc\n[…]\nent docs at direct commands\n\nPer maintainer review on #3748: remove the Makefile wrapper and update\nCONTRIBUTING.md and AGENTS.md to invoke pre-commit/ruff/pytest directly\ninstead of via make targets.",
"is_bot": false,
"headline": "docs: expanded contributor, testing and agents guidance (#3748) [skip…",
"author_name": "thad0ctor",
"author_login": "thad0ctor",
"committed_at": "2026-07-09T10:17:56Z",
"body_truncated": true,
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},
{
"oid": "79884679e19bf6f32aa0501fea66b7aaad1c91fb",
"body": "* fix(lora): stop writing input grads into saved activations in fused LoRA backward\n\nLoRA_MLP/LoRA_QKV/LoRA_QK backward aliased the input-gradient buffer onto the\nsaved activation X (torch.mm(..., out=X)). When X is a view created inside\nanother custom autograd Function (e.g. liger RMSNorm returns Y\n[…]\nmove\na what-comment flagged in review. Compile-traceability test stays QKV-only:\nall three share the identical backward code shape.\n\n* test(lora): skip CUDA-only kernel tests cleanly on CPU-only hosts",
"is_bot": false,
"headline": "fix(lora): make fused LoRA backward torch.compile traceable (#3800)",
"author_name": "thad0ctor",
"author_login": "thad0ctor",
"committed_at": "2026-07-08T09:19:58Z",
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"oid": "629bafbb68c60132e9655768c1864391ebb1ed27",
"body": "…… (#3673) [skip ci]\n\n* feat(lora): per-module rank/alpha overrides via rank_pattern / alpha_pattern\n\nAdds support for PEFT's rank_pattern and alpha_pattern at training time\n(new config fields lora_rank_pattern / lora_alpha_pattern) and at merge\ntime (memory-efficient merger now honors them per-modu\n[…]\nge tests for rank_pattern alone and rank+alpha combined;\ndocuments resume/continue-training semantics in docs/lora.qmd.\n\n* chore: regenerate CLI config options for lora_rank_pattern/lora_alpha_pattern",
"is_bot": false,
"headline": "feat(lora): per-module rank/alpha overrides via rank_pattern / alpha_…",
"author_name": "thad0ctor",
"author_login": "thad0ctor",
"committed_at": "2026-07-08T08:10:12Z",
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"oid": "39c961ec2e629cb7b7274ef1151f8e06671c1ae3",
"body": null,
"is_bot": false,
"headline": "streaming fix (#3717) [skip ci]",
"author_name": "VED",
"author_login": "ved1beta",
"committed_at": "2026-07-08T08:08:35Z",
"body_truncated": false,
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},
{
"oid": "8297b78b57a2fbafdec9b857a6a65081ba5c46b1",
"body": "…ooleans (#3765) [skip ci]\n\n* fix(cli/vllm_serve): let explicit CLI False override config-enabled booleans\n\nenable_prefix_caching and enable_reasoning were combined with config values\nusing `cli or cfg`, so a config that enabled either option could not be\ndisabled from the CLI (`False or True` -> `T\n[…]\nlback into `or False`,\nshorten the explanatory comment, and collapse the two precedence tests\ninto one parametrized test to reduce bloat.\n\n* style: fix trailing newline at EOF (pre-commit)\n\n* test fix",
"is_bot": false,
"headline": "fix(cli/vllm_serve): let explicit CLI False override config-enabled b…",
"author_name": "Tai An",
"author_login": "Anai-Guo",
"committed_at": "2026-07-08T08:08:00Z",
"body_truncated": true,
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},
{
"oid": "3fa2cdc18121046a4bfb72bf45058ab2755e7484",
"body": "…atches (#3778) [skip ci]\n\nDeepEP main restructured setup.py and removed the disable_nvshmem code\npath (deepseek-ai/DeepEP#664), so the two README patches no longer apply\n(patch failed: setup.py:19). v1.2.1 is the last release they apply to.\n\n- Ampere section: drop --depth 1 and add git checkout v1.2.1 (a shallow\n clone cannot check out the tag)\n- Notes: state the v1.2.1 pin is required; remove the build-from-HEAD\n guidance\n\nFixes #3766",
"is_bot": false,
"headline": "docs(expert_parallel): pin DeepEP to v1.2.1 for the DISABLE_NVSHMEM p…",
"author_name": "trevorgordon981",
"author_login": "trevorgordon981",
"committed_at": "2026-07-08T07:31:32Z",
"body_truncated": false,
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{
"oid": "5e920c741d2a5a753bc9e4612bf1ad909e5d598e",
"body": null,
"is_bot": false,
"headline": "fix: improve validation error for jinja chat template (#3802) [skip ci]",
"author_name": "Hyacinth-of-Security",
"author_login": "lxcxjxhx",
"committed_at": "2026-07-07T11:53:33Z",
"body_truncated": false,
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},
{
"oid": "2e5caca2fd51c91f55acdfbcbff66226a5ddbae2",
"body": null,
"is_bot": false,
"headline": "fix(fsdp2): use EP LoRA saver for quantized checkpoints (#3777)",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-07-05T16:52:52Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ec55b5e39ed80ce62f2aa4fee7ee8159d0309501",
"body": "…#3799)",
"is_bot": false,
"headline": "fix(lora): correct fp32 NF4 dequant + harden fused GDN LoRA routing (…",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-07-05T09:34:24Z",
"body_truncated": false,
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},
{
"oid": "122f13af8c0badd0d0a0135ef4335bff88dfe72b",
"body": "Co-authored-by: Your Name <you@example.com>",
"is_bot": false,
"headline": "bumo trl (#3784)",
"author_name": "VED",
"author_login": "ved1beta",
"committed_at": "2026-07-05T04:39:22Z",
"body_truncated": false,
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},
{
"oid": "6a93dbf0ef245b8df259fd649db2f97ee97dce36",
"body": "…s (#3732)\n\n* perf(lora): route GatedDeltaNet projections through fused LoRA kernels\n\nQwen3.5's linear-attention (GatedDeltaNet) layers call five LoRA-wrapped\nprojections per layer (in_proj_qkv/z/b/a, out_proj) through the plain peft\nmodule forward. peft's _cast_input_dtype round-trips the full [B, \n[…]\nTN_IN_PROJS (single source of truth)\n- add tests: independent gating, backward-under-dropout self-consistency\n (plain LoRA + DoRA, incl. d_mag)\n\n---------\n\nCo-authored-by: Wing Lian <wing@axolotl.ai>",
"is_bot": false,
"headline": "perf(lora): route GatedDeltaNet projections through fused LoRA kernel…",
"author_name": "thad0ctor",
"author_login": "thad0ctor",
"committed_at": "2026-07-05T03:34:02Z",
"body_truncated": true,
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},
{
"oid": "8b1f7c15fe2e42d3cc5ea57452c6105f715bc6e0",
"body": "…_sdpa (#3793) [skip ci]",
"is_bot": false,
"headline": "fix: gemma4 gqa guard breaks under transformers 5.13 3-arg use_gqa_in…",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-07-04T06:39:39Z",
"body_truncated": false,
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},
{
"oid": "8c42d32268a52b27bb8f97d1fbabc21b293e2b91",
"body": "…attn backends (#3796)",
"is_bot": false,
"headline": "fix: correct and streamline multipack packing decontamination across …",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-07-04T04:12:15Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c35810da5294f36a45dab968fbb59f8d1a13c473",
"body": "… [skip ci]",
"is_bot": false,
"headline": "feat: compile-clean multidoc routing for large-head attention (#3789)…",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-07-04T04:11:56Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "68a2a07ee8a383a9dee6a45303f6e32b3796a7f9",
"body": null,
"is_bot": false,
"headline": "strip out apt libs installs that were moved to base image (#3794)",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-07-03T18:10:43Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "f51fa20a9bdb203cdc81abc0903d88d4a38ac212",
"body": "…ecomputing) (#3786)",
"is_bot": false,
"headline": "feat: selective activation checkpointing (save attention instead of r…",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-07-03T15:55:54Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a5bbe70bc4f2d9aadd2518d5a533d1142959ccc7",
"body": null,
"is_bot": false,
"headline": "push some of the missed apt packages up to base (#3792)",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-07-03T15:12:18Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "61ae54d3cf378e59f41fbb9a4aa37931cac26fdc",
"body": "…r (#3790)",
"is_bot": false,
"headline": "move some package installs up to base to make downstream builds faste…",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-07-03T14:57:48Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5b2ae6b39466386feea78ec55f17e36b800d42d0",
"body": "…#3779)",
"is_bot": false,
"headline": "fix(fsdp2): route quantized LoRA checkpoints through adapter gather (…",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-07-03T13:35:30Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0cfacb75e1f7fb8c16918021aa53477dc8dfe625",
"body": null,
"is_bot": false,
"headline": "feat: register custom torch ops for in-repo kernels (#3788)",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-07-03T11:42:16Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "bf0e7e204f1c6f41c7fbbc474ba2a02cd3e0af2b",
"body": null,
"is_bot": false,
"headline": "fix: uv build dep from hf hub (#3783)",
"author_name": "NanoCode012",
"author_login": "NanoCode012",
"committed_at": "2026-07-02T21:29:01Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0e18eb2f5cc8015f709237d66537fbc869f373dc",
"body": "…mples (#3756)",
"is_bot": false,
"headline": "fix(chat_template): train the Gemma turn terminator by default in exa…",
"author_name": "thad0ctor",
"author_login": "thad0ctor",
"committed_at": "2026-07-02T20:03:00Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9f8e548d965147ac33c0c6703c0bbff841a77282",
"body": null,
"is_bot": false,
"headline": "Add checkpoint hidden-state activation offload (#3776)",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-07-02T14:36:46Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "7379c1cc71d8e100bdb1ce94dffd3ca01a3a7909",
"body": null,
"is_bot": false,
"headline": "fix(merge): dequantize quantized bases before folding LoRA delta (#3771)",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-07-02T05:22:20Z",
"body_truncated": false,
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},
{
"oid": "a68e7dabf64b8dd520faea83cd702116045b393b",
"body": null,
"is_bot": false,
"headline": "fix: pin version for httpx and not use pre-release (#3775)",
"author_name": "NanoCode012",
"author_login": "NanoCode012",
"committed_at": "2026-07-02T05:06:41Z",
"body_truncated": false,
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},
{
"oid": "f3be6690490ced965bfbadcbc86462ee36e00201",
"body": null,
"is_bot": false,
"headline": "feat: add httpx (#3770)",
"author_name": "NanoCode012",
"author_login": "NanoCode012",
"committed_at": "2026-07-01T13:41:53Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c9b442fa56585774f549cb906807ff3aecafc13f",
"body": null,
"is_bot": false,
"headline": "build and test only torch 2.11.0+ w cu130 (#3761)",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-07-01T12:28:47Z",
"body_truncated": false,
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{
"oid": "0bda5a13e4d52ceec58104f44fabb7bd314f9c02",
"body": "…ptimizer (#3763)",
"is_bot": false,
"headline": "feat(optimizers): add SinkGD stateless gradient multi-normalization o…",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-06-30T12:38:59Z",
"body_truncated": false,
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{
"oid": "ed9514cd946d2b71d1bfd0c7a4fbda6527fa9cda",
"body": "…allelism (incl. EP×dp_shard / EP×cp) (#3759)",
"is_bot": false,
"headline": "feat(glm_moe_dsa): GLM-5.2 DSA kernels, NVFP4 loading, and expert par…",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-06-29T11:39:07Z",
"body_truncated": false,
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{
"oid": "5412748acbb303fa924744d6be03eb72210d0ca7",
"body": "* fix: cce handling\n\n* fix: torch211 and torch210 varlen attn compat\n\n* feat: update cce commit to use newer transformers v5 patches\n\n* feat: update cce for more patch updates",
"is_bot": false,
"headline": "fix: cce update and post merge bugs (#3757)",
"author_name": "NanoCode012",
"author_login": "NanoCode012",
"committed_at": "2026-06-28T05:12:58Z",
"body_truncated": false,
"is_coding_agent": false
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{
"oid": "ba940e9fb65ece88de53a4edf34d741fb226279e",
"body": "* fix: drop non-uv docker builds\n\n* chore: delete dead images\n\n* chore: update docs\n\n* fix: remove old images\n\n* ci: add concurrency groups to cancel superseded runs\n\n* ci: add registry layer cache to docker image builds\n\n* ci: enable uv dependency caching in pytest jobs\n\n* docker: use buildkit uv c\n[…]\np pytest in image for running tests in pods\n\n* ci: stop running pre-commit in both lint and tests workflows\n\n* fix: incorporate upstream gemma4 fix into test\n\n* fix: add handling of nightly kernel fix",
"is_bot": false,
"headline": "fix: remove non-uv images and general docker improvements (#3740)",
"author_name": "NanoCode012",
"author_login": "NanoCode012",
"committed_at": "2026-06-24T14:05:45Z",
"body_truncated": true,
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{
"oid": "a6dd149f9919084ce4b213d23431eaca61f5046a",
"body": "…s (#3751) [skip ci]\n\n* fix: avoid IndexError in metharme/reflection _tokenize on empty fields\n\nMetharmePromptTokenizingStrategy._tokenize and\nReflectionPromptTokenizingStrategy._tokenize index result[\"input_ids\"][-1]\nwithout the empty-result guard the base PromptTokenizingStrategy._tokenize\nalready\n[…]\n\nbase class. Added regression tests for both strategies.\n\n* Condense empty-result comment to one line\n\n* fix: cleanup pr and use smaller model\n\n---------\n\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
"is_bot": false,
"headline": "fix: avoid IndexError in metharme/reflection _tokenize on empty field…",
"author_name": "Vineeth Sai",
"author_login": "vineethsaivs",
"committed_at": "2026-06-24T14:01:07Z",
"body_truncated": true,
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{
"oid": "3ad474c69ae519652a064a6cecf37a862a330050",
"body": "* fix(dpo): make user_defined strategy work with custom field names and {system}\n\nThe user_defined DPO strategy built its default prompt/chosen/rejected\nformat strings from the configured field names (e.g. \"{my_chosen}\") but\ncalled str.format() with the canonical keywords (chosen=...). Any custom\nfi\n[…]\nne), explicit chosen/rejected formats, the\nnon-dict guard, and the loader path.\n\nFixes #2645\n\n* fix: clean up test and made test more specific\n\n---------\n\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
"is_bot": false,
"headline": "fix(dpo): user_defined strategy KeyError on custom field names (#3742)",
"author_name": "Vineeth Sai",
"author_login": "vineethsaivs",
"committed_at": "2026-06-24T14:00:38Z",
"body_truncated": true,
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{
"oid": "989c993767876d1efc3d36eb5d614dade4083480",
"body": "… (#3739) [skip ci]\n\n* fix: correct NameError in _get_messages when JSON decodes to non-list\n\nWhen `messages` is a JSON string that decodes to a non-list value\n(e.g. a JSON object / dict), the assertion\n\n assert isinstance(messages, list), (\n f\"... got {type(message)}\"\n )\n\nraises an Unb\n[…]\nug case), non-dict turn, invalid JSON, and missing field.\n\n* fix: simplified test\n\n---------\n\nCo-authored-by: JSap0914 <JSap0914@users.noreply.github.com>\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
"is_bot": false,
"headline": "fix: correct NameError in _get_messages when JSON decodes to non-list…",
"author_name": "JSap0914",
"author_login": "JSap0914",
"committed_at": "2026-06-24T14:00:10Z",
"body_truncated": true,
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"oid": "b3c9e07aec5779b622a27735db5071a18ba58996",
"body": "* fix: stray wrapping in falcon h1\n\n* fix: regression after remove continue due to our analyzer\n\n* fix: deepseek following 3.1 template\n\n* fix: adopted upstream mistral templates\n\n* fix: multimodal handling\n\n* feat: future multimodal chat support\n\n* fix: reformat multi-line\n\n* fix: make analyzer same env as upstream transformers\n\n* fix: revert exaone4 given we now support continue\n\n* fix: coderrabbit comments\n\n* feat: add test for before/after template rendering",
"is_bot": false,
"headline": "fix(jinja): outdated template multi modal (#3736) [skip ci]",
"author_name": "NanoCode012",
"author_login": "NanoCode012",
"committed_at": "2026-06-24T13:59:35Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "00e6258ac7c59fb7de3590be78523c98ca9e3c10",
"body": "…p ci]\n\n* fix dataset oom\n\n* lint T_T\n\n* fix: overflow for chunk size access and default min count\n\n* feat: add tests\n\n---------\n\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
"is_bot": false,
"headline": "Fix RAM OOM when loading large preprocessed SFT datasets (#3711) [ski…",
"author_name": "VED",
"author_login": "ved1beta",
"committed_at": "2026-06-24T13:58:42Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "df327bb32b95f366b2c3686ca0025410e20ba58c",
"body": "…g .yml (#3710) [skip ci]\n\n* feat(fsdp): expose fsdp_config.min_num_params for SIZE_BASED_WRAP\n\nWire the FSDP_MIN_NUM_PARAMS env var from YAML so the size-based\nauto-wrap policy can be configured without setting the env var manually.\n\n* feat(fsdp): require min_num_params for SIZE_BASED_WRAP and enfo\n[…]\nting migration\nfixture now needs the field to pass validation.\n\n* feat: add test check SIZE_BASED_WRAP without min params\n\n* chore: update doc\n\n---------\n\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
"is_bot": false,
"headline": "feat(fsdp): expose fsdp's min_num_params for SIZE_BASED_WRAP in confi…",
"author_name": "thad0ctor",
"author_login": "thad0ctor",
"committed_at": "2026-06-24T13:56:36Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "8eac710b2240be093e8f33644ef6a3e0887fd62b",
"body": "…bnb) and DeepSeek-V4 on sm120/sm90/sm100 (#3747)\n\n---------\n\nCo-authored-by: Entrpi <entrpi@proton.me>\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
"is_bot": false,
"headline": "feat(kernels): fast + low-memory MoE-LoRA for gemma4 (NVFP4/Marlin + …",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-06-24T13:10:41Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e86163dd332f3aad2f29de8fe44b6cfd5f74b22d",
"body": "* feat: add interactive multi-turn chat mode (--chat) to inference CLI\n\n* fix: apply_chat_template returns BatchEncoding in transformers v5\n\n* docs: document interactive chat mode for inference\n\n* feat: diffusion turn generation for chat mode; fix fp8 probe on CPU-only torch\n\n* feat: suggest command\n[…]\nr counts and the\n stored message, dropping the redundant full decode\n\n* refactor(chat): share the live thinking-tail FPS as a class constant\n\n* fix: interrupt cache race condition and parse edge case",
"is_bot": false,
"headline": "feat: add inference multi-turn chat interface (#3723)",
"author_name": "NanoCode012",
"author_login": "NanoCode012",
"committed_at": "2026-06-16T09:46:29Z",
"body_truncated": true,
"is_coding_agent": false
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{
"oid": "bc7e26538f470f103b900be67537cda5d5ff6a9d",
"body": "* fix: fail early for CI if meet CUDA error\n\n* fix: switch to clean abort",
"is_bot": false,
"headline": "fix: fail early for CI if meet CUDA error (#3737) [skip ci]",
"author_name": "NanoCode012",
"author_login": "NanoCode012",
"committed_at": "2026-06-16T09:42:40Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "fa7a66502d48f556c44910b9acb87124e2cc34af",
"body": "…onfig (#3730) [skip ci]\n\n* fix: KTO user_defined dataset transform crashes on every documented config\n\nThe user_defined.default KTO strategy was broken in all configurations:\n\n- when completion_format was provided, the default was assigned to a\n misnamed chosen_format variable only in the fallback\n[…]\nerage check\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n* fix: wrong pydantic type\n\n* feat: updated test to handle e2e validation\n\n---------\n\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
"is_bot": false,
"headline": "fix: KTO user_defined dataset transform crashes on every documented c…",
"author_name": "Ayush",
"author_login": "Ayushhgit",
"committed_at": "2026-06-16T01:59:31Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "277d524b12b5585c53a65b3564c9d6ebdcf7b4a7",
"body": "…param paths (#3733)",
"is_bot": false,
"headline": "feat(offload): hidden_states activation offloading + fix legacy/full-…",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-06-15T22:09:49Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a56fe869f9d9f82025cabd016dc2db7987cf1bbb",
"body": null,
"is_bot": false,
"headline": "fix qwen chat3.5 (#3728) [skip ci]",
"author_name": "VED",
"author_login": "ved1beta",
"committed_at": "2026-06-15T08:06:01Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b02ee147a38c100da518294f56356df3ae09e5f6",
"body": "…tent in qwen3_5 template (#3725) [skip ci]\n\nThe inline-<think> assistant branch reassigned content (stripping it to\nthe post-</think> answer) before reasoning_content was extracted from it.\nSince reasoning_content reads from the already-truncated content, the\nreasoning trace was dropped and the answer leaked into the <think> block.\nSwap the two set statements to match the official Qwen3.5 template order.",
"is_bot": false,
"headline": "fix(chat_templates): extract reasoning_content before reassigning con…",
"author_name": "Tai An",
"author_login": "Anai-Guo",
"committed_at": "2026-06-15T08:04:57Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ac35190d8960c3434d7e82c77ac030f7b9c1575a",
"body": "* fix version mismatch 4 pirate\n\n* add whitlist for collab\n\n---------\n\nCo-authored-by: NanoCode012 <nano@axolotl.ai>",
"is_bot": false,
"headline": "fix numpy version mismatch 4 pirate (#3662) [skip ci]",
"author_name": "VED",
"author_login": "ved1beta",
"committed_at": "2026-06-15T08:04:20Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5ed506e79b190f2c8a92742cce04fd728270be70",
"body": "* feat: update cce for new models\n\n* feat: update transformers\n\n* chore: remove dead code\n\n* feat: add liger for gemma4 unified\n\n* fix: hybrid attn for latest transformers\n\n* feat: add gemma4 unified following gemma4\n\n* chore: refactor old logger to axolotl get_logger\n\n* fix: update legacy env to ne\n[…]\nort simplenamespace for test\n\n* fix: update quarto to include all current scripts\n\n* fix: drop quarto doc entry for untracked deepseek_v4 module\n\n---------\n\nCo-authored-by: Wing Lian <wing@axolotl.ai>",
"is_bot": false,
"headline": "Feat: add gemma4 unified (#3706)",
"author_name": "NanoCode012",
"author_login": "NanoCode012",
"committed_at": "2026-06-15T02:31:40Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "22bcb9a773cb9de49bdcabca5be61c09b420b736",
"body": "* feat(scattermoe-lora): multi-adapter (expert x tenant) LoRA path\n\nCo-train many LoRA adapters (\"tenants\") over one frozen expert stack: an MoE\ntoken carries the router's expert assignment AND a per-row tenant id, so the base\nexpert GEMM keys on expert while the LoRA keys on the combined (expert, t\n[…]\n error 8e-4 -> ~1e-7, matching the forward.\n\nAdds a multi-adapter regression test that disables TF32 and asserts tight fp32\nparity (dA/dB ~1e-7) -- would fail at ~1e-3 with the stale import-time copy.",
"is_bot": false,
"headline": "Multi-adapter MoE LoRA support (#3719)",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-06-09T19:22:57Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "a713e3c29508a78ccb6a24c65d65b0e393ca7a0a",
"body": "…#3672)\n\n* perf(mm-mask): vectorized role-boundary scanner + fused process_labels\n\nFollow-up to #3625 reducing the cost of multimodal assistant-only masking:\n\n- Vectorized role-boundary scanner (_compute_role_keep_mask_vectorized):\n precomputes start/end match positions in a single batched unfold p\n[…]\nx3-6k batches, widening with turn\nlength. Adds long-span / multi-end-marker parity fuzz that the original\nfiller<=200 generator under-exercised.\n\n---------\n\nCo-authored-by: Wing Lian <wing@axolotl.ai>",
"is_bot": false,
"headline": "perf: faster multimodal assistant-only masking (vectorized scanner) (…",
"author_name": "thad0ctor",
"author_login": "thad0ctor",
"committed_at": "2026-06-09T17:06:06Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "ed10453742a8fe4fe6097b00657e2d22bcb2fe87",
"body": "* feat(liger): bump liger-kernel to 0.8.0 and guard native dispatch overrides\n\nliger-kernel 0.8.0 adds native MODEL_TYPE_TO_APPLY_LIGER_FN entries for\nqwen3_5, qwen3_5_text, qwen3_5_moe, qwen3_5_moe_text, gemma4_text, ministral,\nand nemotron. plugin.py consults that registry before its own model bra\n[…]\n not in the pinned 0.8.0 release, so the warning now scopes the limitation to\n0.8.0 rather than implying it is fundamentally unsupported.\n\n* style(liger): collapse gemma4 RMSNorm docstring to one line",
"is_bot": false,
"headline": "Feat/liger 0.8.0 bump (#3713)",
"author_name": "thad0ctor",
"author_login": "thad0ctor",
"committed_at": "2026-06-09T06:35:46Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "56bfe6440a6d13e9eeef96eb0fa686e06c8884e2",
"body": "* fix: gc_collect_steps not honored\n\nget_callbacks only wired GCCallback off the deprecated `gc_steps`, so setting\n`gc_collect_steps` on its own was silently ignored (`migrate_gc_steps` never\nback-fills `gc_steps`). Read `gc_collect_steps`, falling back to the deprecated\n`gc_steps`, and pass it through to GCCallback. Adds a wiring regression test.\n\n* style: apply ruff format to gc_steps wiring test",
"is_bot": false,
"headline": "fix: gc_collect_steps not honored (#3709) [skip ci]",
"author_name": "thad0ctor",
"author_login": "thad0ctor",
"committed_at": "2026-06-09T06:32:46Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5a0dc637e5f76a77fe74db05340e84a0587e0e08",
"body": "… ci]\n\nThe base trainer uses a SequentialSampler when curriculum_sampling is set, but\nthe GRPO sampler hardcoded shuffle=True, so curriculum_sampling was ignored and\nthe dataset was always shuffled. Wire shuffle to not curriculum_sampling, which\nmakes SequenceParallelRepeatRandomSampler emit indices in dataset order.\n\nFixes #2376",
"is_bot": false,
"headline": "Honor curriculum_sampling in AxolotlGRPOTrainer sampler (#3707) [skip…",
"author_name": "Prathamesh Jadhav",
"author_login": "lollinng",
"committed_at": "2026-06-09T06:32:18Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2501b62d8559432fd7013ffe7a8326716a13bba5",
"body": "* fix: tkps grad accu miscalculation\n\n* feat: add test",
"is_bot": false,
"headline": "fix: tkps grad accu miscalculation (#3699) [skip ci]",
"author_name": "NanoCode012",
"author_login": "NanoCode012",
"committed_at": "2026-06-09T06:31:07Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "77706d1b4fa048697ce5113f4b80cabcffd73973",
"body": "…dn't be flag as an warning (#3718)",
"is_bot": false,
"headline": "feat: when validating OptimizationValidationMixin, fsdp_version shoul…",
"author_name": "Samuel Larkin",
"author_login": "SamuelLarkin",
"committed_at": "2026-06-09T00:41:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b99ae0921338ca747990bfef4b6daa9258bc60b9",
"body": "* fix: make NF4 dequantize torch.compile-safe via local custom_op\n\nWrap the Unsloth-derived NF4 dequant fast path in a torch.library.custom_op\n(axolotl::nf4_dequantize) with a register_fake impl. dequantize() branches on\ntorch.compiler.is_compiling(): eager calls the ctypes body directly (zero\nop-di\n[…]\n) call) and drops the `global` keyword\nsince the dict is mutated in place, never rebound.\n\n* fix broken MX tests from transformers 5.8.1 upgrade\n\n---------\n\nCo-authored-by: Wing Lian <wing@axolotl.ai>",
"is_bot": false,
"headline": "perf: expand torch.compile coverage to 4bit dequant (#3677)",
"author_name": "thad0ctor",
"author_login": "thad0ctor",
"committed_at": "2026-06-08T00:50:26Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "ed761c6ddad37b5a55c41cc2680708ce7b8fde6f",
"body": null,
"is_bot": false,
"headline": "build docker uv images w torch 2.11 and 2.12 (#3715)",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-06-07T19:05:59Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "45a17e925172157a3cdc268c087ce724b9cdd13a",
"body": "…MXFP4, sonicmoe fallback (#3714)\n\n* perf(scattermoe-ep): skip DeepEP -1 sentinels in the local kernel\n\nUnder DeepEP the local scattermoe kernel received the full N*K dispatched\nrouting with remote slots mapped to expert 0 / weight 0, so the grouped GEMM\n+ per-row LoRA processed every sentinel row (\n[…]\nh the standard and EP forwards.\n\nValidated vs the dequantized-weight reference within NV rounding tol (dX/dA/dB ~1e-3..\n1e-2) through the standard and EP forwards; MXFP4 suite still green (14 passed).",
"is_bot": false,
"headline": "perf(scattermoe): Blackwell sm120 MoE-LoRA — EP sentinel-skip, fused …",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-06-07T17:16:21Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "edcbeb7888b5e94bad2a2379b92fadc25df0fdfc",
"body": "…ge-E MoEs (#3712)\n\n* perf(scattermoe-lora): grouped-Gram dA/dB + sync-free dX_lora for large-E MoEs\n\nThe dA/dB split kernel recomputes XA=X@A^T (resp. YB=dY@B) in registers once per\noutput dim-block to avoid materializing it; and the non-fused dX_lora path is a\nPython per-expert loop with an expert\n[…]\nl for an MX base vs its bf16 dequantization at a workload above the\nfuse-gather threshold (new regression test). #1 (sonicmoe materialize) is already\non main via baddbmm.\n\n* chore: lint\n\n* chore: lint",
"is_bot": false,
"headline": "perf(scattermoe-lora): grouped-Gram dA/dB + sync-free dX_lora for lar…",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-06-07T06:36:10Z",
"body_truncated": true,
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},
{
"oid": "69f6d8bab251026470163c887c04eacb6f1a9a81",
"body": "* perf(lora-kernels): fuse matmul_lora add via in-place addmm_\n\nmatmul_lora computed out += s * X_lora @ A @ B, which materializes a\nfull [M, out_features] LoRA temporary before the add. Replace with\nout.addmm_(X_lora @ A, B, alpha=s): the X_lora @ A intermediate is only\n[M, rank], no [M, out_featur\n[…]\neverts commit d95991e6160aeefa8ab0221ef7d33b492d0ea254.\n\n* Revert \"fix(tests): make HF-throttled tests offline-safe via prefetch + cache\"\n\nThis reverts commit d25b7a178df17149ef9274f84cc989fa0439d6d6.",
"is_bot": false,
"headline": "lora kernel memory improvement (#3704)",
"author_name": "Wing Lian",
"author_login": "winglian",
"committed_at": "2026-06-05T18:33:44Z",
"body_truncated": true,
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{
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{
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{
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{
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{
"key": "fuzzing",
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{
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{
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{
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{
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{
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{
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{
"key": "vulnerabilities",
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"status": "partial",
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]
},
{
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"status": "partial",
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{
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"status": "excluded",
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],
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{
"key": "no_advisories_left_outstanding",
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]
},
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{
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{
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}
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}
],
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}
],
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{
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"metrics": [
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{
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"lockfiles": [],
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{
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{
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"max_points": 11
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{
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"details": [
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{
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{
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{
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},
{
"key": "manageable_file_sizes",
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"points": 54.3,
"status": "partial",
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{
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"status": "missed",
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{
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}
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],
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"generated_at": "2026-07-22T04:17:49.684828Z",
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