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feat: 合并 SparkLLM 下载突破为一个多日期里程碑 #140

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feat: 合并 SparkLLM 下载突破为一个多日期里程碑 #140

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235 changes: 159 additions & 76 deletions src/pages/milestone.astro
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Original file line number Diff line number Diff line change
Expand Up @@ -22,6 +22,56 @@ const projectMeta: Record<ProjectKey, { labelZh: string; labelEn: string; accent
},
};

const sparkDownloadCheckpoints = [
{
id: 'spark-million-downloads',
dateZh: '2026.09.29',
dateEn: 'Sep 29, 2026',
datetime: '2026-09-29',
project: 'sparkllm',
icon: 'tabler:download',
titleZh: 'Spark-X2.5 累计下载突破百万',
titleEn: 'Spark-X2.5 passed one million downloads',
descriptionZh:
'SparkLLM Spark-X2.5 开源模型在各分发渠道的下载量，加上社区衍生模型（第三方量化 / 微调）的下载量，累计突破一百万。',
descriptionEn:
'Combined downloads of the open-source SparkLLM Spark-X2.5 model across distribution channels and its community derivatives (third-party quantizations and fine-tunes) passed one million.',
},
{
id: 'spark-3-5m-downloads',
dateZh: '2026.10.30',
dateEn: 'Oct 30, 2026',
datetime: '2026-10-30',
project: 'sparkllm',
icon: 'tabler:download',
titleZh: 'Spark-X2.5 和 Spark-X2.6 累计下载突破 350 万',
titleEn: 'Spark-X2.5 and Spark-X2.6 passed 3.5 million downloads',
descriptionZh:
'Spark-X2.5 和 Spark-X2.6 官方模型及社区衍生模型（第三方量化、微调和格式转换）在 Hugging Face 的累计下载量合计突破 350 万次。',
descriptionEn:
'Combined cumulative downloads of the official Spark-X2.5 and Spark-X2.6 models and their community derivatives (third-party quantizations, fine-tunes, and format conversions) on Hugging Face passed 3.5 million.',
},
{
id: 'spark-5m-downloads',
dateZh: '2026.11.09',
dateEn: 'Nov 9, 2026',
datetime: '2026-11-09T03:36:39+08:00',
project: 'sparkllm',
icon: 'tabler:download',
titleZh: 'Spark-X2.5 和 Spark-X2.6 累计下载 / 拉取突破 500 万',
titleEn: 'Spark-X2.5 and Spark-X2.6 passed 5M downloads / pulls',
descriptionZh:
'SparkLLM 于北京时间 2026 年 11 月 9 日 03:36 发布：Spark-X2.5 和 Spark-X2.6 在六个平台累计下载 / 拉取突破 500 万，包含 276 个社区衍生模型。此为跨平台累计口径，不是单一平台下载量或独立用户数。',
descriptionEn:
'Announced by SparkLLM on November 9, 2026 at 03:36 Beijing time: Spark-X2.5 and Spark-X2.6 passed 5M cumulative downloads / pulls across six platforms, including 276 community derivatives. This is a cross-platform total, not downloads on a single platform or unique users.',
link: {
href: 'https://x.com/SparkLLM/status/2119514456971485233',
zh: '查看官方公告',
en: 'View the official announcement',
},
},
];

const milestones: Array<{
id: string;
dateZh: string;
Expand Down Expand Up @@ -312,19 +362,18 @@ const milestones: Array<{
en: 'View on LFX Insights',
},
},

{
id: 'spark-million-downloads',
dateZh: '2026.09.29',
dateEn: 'Sep 29, 2026',
id: 'spark-downloads',
dateZh: '2026.09.29—2026.11.09',
dateEn: 'Sep 29—Nov 9, 2026',
datetime: '2026-09-29',
project: 'sparkllm',
icon: 'tabler:download',
titleZh: 'Spark-X2.5 累计下载突破百万',
titleEn: 'Spark-X2.5 passed one million downloads',
descriptionZh:
'SparkLLM Spark-X2.5 开源模型在各分发渠道的下载量，加上社区衍生模型（第三方量化 / 微调）的下载量，累计突破一百万。',
descriptionEn:
'Combined downloads of the open-source SparkLLM Spark-X2.5 model across distribution channels and its community derivatives (third-party quantizations and fine-tunes) passed one million.',
titleZh: 'SparkLLM 下载量突破',
titleEn: 'SparkLLM download milestones',
descriptionZh: sparkDownloadCheckpoints.map((point) => `${point.dateZh}：${point.descriptionZh}`).join(' '),
descriptionEn: sparkDownloadCheckpoints.map((point) => `${point.dateEn}: ${point.descriptionEn}`).join(' '),
},
{
id: 'spark-pocketpal',
Expand All @@ -341,20 +390,7 @@ const milestones: Array<{
'In the PocketPal Agentic Web Search evaluation, Spark-X2.5-4B and Spark-X2.5-1.7B appear first and third in the table, with Fresh accuracy of 89% and 87%, respectively. Both are marked on the accuracy-versus-model-size Pareto frontier, with Q4_K_M weights of 2.6 GB and 1.1 GB. Positions refer to table order; the leading group has overlapping 90% confidence intervals.',
link: { href: 'https://pocketpal.dev/evals/web-search', zh: 'PocketPal 评测', en: 'PocketPal evaluation' },
},
{
id: 'spark-3-5m-downloads',
dateZh: '2026.10.30',
dateEn: 'Oct 30, 2026',
datetime: '2026-10-30',
project: 'sparkllm',
icon: 'tabler:download',
titleZh: 'Spark-X2.5 和 Spark-X2.6 累计下载突破 350 万',
titleEn: 'Spark-X2.5 and Spark-X2.6 passed 3.5 million downloads',
descriptionZh:
'Spark-X2.5 和 Spark-X2.6 官方模型及社区衍生模型（第三方量化、微调和格式转换）在 Hugging Face 的累计下载量合计突破 350 万次。',
descriptionEn:
'Combined cumulative downloads of the official Spark-X2.5 and Spark-X2.6 models and their community derivatives (third-party quantizations, fine-tunes, and format conversions) on Hugging Face passed 3.5 million.',
},

{
id: 'agent-shanghai-award',
dateZh: '2026.10.30',
Expand Down Expand Up @@ -383,30 +419,12 @@ const milestones: Array<{
descriptionEn:
'Astron Agent’s 2026 OSCAR Open Source+ Peak Practice recognition is scheduled for November 10, 2026.',
},
{
id: 'spark-5m-downloads',
dateZh: '2026.11.09',
dateEn: 'Nov 9, 2026',
datetime: '2026-11-09T03:36:39+08:00',
project: 'sparkllm',
icon: 'tabler:download',
titleZh: 'Spark-X2.5 和 Spark-X2.6 累计下载 / 拉取突破 500 万',
titleEn: 'Spark-X2.5 and Spark-X2.6 passed 5M downloads / pulls',
descriptionZh:
'SparkLLM 于北京时间 2026 年 11 月 9 日 03:36 发布：Spark-X2.5 和 Spark-X2.6 在六个平台累计下载 / 拉取突破 500 万，包含 276 个社区衍生模型。此为跨平台累计口径，不是单一平台下载量或独立用户数。',
descriptionEn:
'Announced by SparkLLM on November 9, 2026 at 03:36 Beijing time: Spark-X2.5 and Spark-X2.6 passed 5M cumulative downloads / pulls across six platforms, including 276 community derivatives. This is a cross-platform total, not downloads on a single platform or unique users.',
link: {
href: 'https://x.com/SparkLLM/status/2119514456971485233',
zh: '查看官方公告',
en: 'View the official announcement',
},
},
];

type GanttItem = {
sourceId: string;
kind: 'range' | 'point';
kind: 'range' | 'point' | 'checkpoints';
checkpoints?: typeof sparkDownloadCheckpoints;
start: number;
end?: number;
titleZh: string;
Expand Down Expand Up @@ -671,16 +689,19 @@ const ganttGroups: Array<{ project: ProjectKey; items: GanttItem[] }> = [
barZh: '奖项 · 09.11',
barEn: 'Award · Sep 11',
},

{
sourceId: 'spark-million-downloads',
kind: 'point',
sourceId: 'spark-downloads',
kind: 'checkpoints',
start: 13,
titleZh: 'Spark-X2.5 累计下载突破百万',
titleEn: 'Spark-X2.5 passed 1M downloads',
dateZh: '2026.09.29',
dateEn: 'Sep 29, 2026',
barZh: '百万下载 · 09.29',
barEn: '1M downloads · Sep 29',
end: 15,
titleZh: 'SparkLLM 下载量突破',
titleEn: 'SparkLLM download milestones',
dateZh: '2026.09.29—2026.11.09',
dateEn: 'Sep 29—Nov 9, 2026',
barZh: '100 万 → 350 万 → 500 万',
barEn: '1M → 3.5M → 5M',
checkpoints: sparkDownloadCheckpoints,
},
{
sourceId: 'spark-pocketpal',
Expand All @@ -693,28 +714,6 @@ const ganttGroups: Array<{ project: ProjectKey; items: GanttItem[] }> = [
barZh: '#1 & #3 · 10.05',
barEn: '#1 & #3 · Oct 5',
},
{
sourceId: 'spark-3-5m-downloads',
kind: 'point',
start: 14,
titleZh: 'Spark-X2.5 和 Spark-X2.6 累计下载突破 350 万',
titleEn: 'Spark-X2.5 and Spark-X2.6 passed 3.5M downloads',
dateZh: '2026.10.30',
dateEn: 'Oct 30, 2026',
barZh: '350 万下载 · 10.30',
barEn: '3.5M downloads · Oct 30',
},
{
sourceId: 'spark-5m-downloads',
kind: 'point',
start: 15,
titleZh: 'Spark-X2.5 和 Spark-X2.6 累计下载 / 拉取突破 500 万',
titleEn: 'Spark-X2.5 and Spark-X2.6 passed 5M downloads / pulls',
dateZh: '2026.11.09',
dateEn: 'Nov 9, 2026',
barZh: '500 万下载 / 拉取 · 11.09',
barEn: '5M downloads / pulls · Nov 9',
},
],
},
{
Expand Down Expand Up @@ -774,7 +773,10 @@ for (const milestone of milestones) {
}
}

const ganttSignalCount = ganttGroups.reduce((total, group) => total + group.items.length, 0);
const ganttSignalCount = ganttGroups.reduce(
(total, group) => total + group.items.reduce((count, item) => count + (item.checkpoints?.length ?? 1), 0),
0
);

const stats = [
{
Expand Down Expand Up @@ -1036,7 +1038,10 @@ const periodEn = 'Sep 2025 — Nov 2026';
</div>

<div
class="milestone-gantt__track milestone-gantt__track--item"
class:list={[
'milestone-gantt__track milestone-gantt__track--item',
item.kind === 'checkpoints' && 'milestone-gantt__track--checkpoints',
]}
role="cell"
aria-labelledby={titleId}
aria-describedby={descriptionId}
Expand All @@ -1049,7 +1054,46 @@ const periodEn = 'Sep 2025 — Nov 2026';
<span class:list={['milestone-gantt__grid-line', index === 4 && 'is-current']} />
))}
</div>
{item.kind === 'range' ? (
{item.kind === 'checkpoints' ? (
item.checkpoints?.map((point, index) => (
<div
class="milestone-gantt__checkpoint"
style={`grid-column:${item.start + index};grid-row:${index + 1}`}
>
<span
class="milestone-gantt__point"
style={'--milestone-accent:' + project.accent}
aria-hidden="true"
/>
<span class="milestone-gantt__checkpoint-copy">
<time
datetime={point.datetime}
data-lang-zh={point.dateZh}
data-lang-en={point.dateEn}
>
{point.dateZh}
</time>
<strong
data-lang-zh={['100 万下载', '350 万下载', '500 万下载 / 拉取'][index]}
data-lang-en={['1M downloads', '3.5M downloads', '5M downloads / pulls'][index]}
>
{['100 万下载', '350 万下载', '500 万下载 / 拉取'][index]}
</strong>
{point.link && (
<a
href={point.link.href}
target="_blank"
rel="noopener noreferrer"
data-lang-zh={point.link.zh}
data-lang-en={point.link.en}
>
{point.link.zh}
</a>
)}
</span>
</div>
))
) : item.kind === 'range' ? (
<div
class="milestone-gantt__range"
style={`--milestone-accent:${project.accent};grid-column:${item.start} / ${gridEnd}`}
Expand Down Expand Up @@ -1995,4 +2039,43 @@ const periodEn = 'Sep 2025 — Nov 2026';
min-height: 6.5rem;
}
}

.milestone-gantt__track--checkpoints {
grid-template-rows: repeat(3, minmax(4rem, auto));
padding-block: 0.75rem;
}

.milestone-gantt__checkpoint {
position: relative;
display: flex;
align-items: center;
justify-content: center;
gap: 0.5rem;
min-width: 0;
}

.milestone-gantt__checkpoint > .milestone-gantt__point {
left: 50%;
}

.milestone-gantt__checkpoint-copy {
position: absolute;
right: calc(50% + 1rem);
display: grid;
width: max-content;
max-width: 15rem;
gap: 0.2rem;
text-align: right;
font-size: 0.75rem;
line-height: 1.4;
}

.milestone-gantt__checkpoint-copy time {
color: var(--rc-text-faint);
}

.milestone-gantt__checkpoint-copy a {
color: var(--rc-blue);
text-decoration: underline;
}
</style>
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