291291 < button type ="button " data-lang ="zh "> 中文</ button >
292292 </ div >
293293 </ div >
294- < span class ="hero-label " data-i18n ="hero.label "> Light AI · Model Toolchain</ span >
295- < h1 data-i18n ="hero.title "> Light-speed efficient multi-modal tooling for synthetic media generation</ h1 >
296- < p class ="hero-subtitle " data-i18n ="hero.subtitle ">
297- Light AI 提供覆盖大模型压缩、推理和视频生成体验的一站式工具矩阵,加速从研究到落地的每一个环节。
298- </ p >
294+ < span class ="hero-label " data-i18n ="hero.label "> </ span >
295+ < h1 data-i18n ="hero.title "> </ h1 >
296+ < p class ="hero-subtitle " data-i18n ="hero.subtitle "> </ p >
299297 < div class ="cta-row ">
300- < a class ="cta primary " href ="https://github.com/ModelTC " target ="_blank " rel ="noopener " data-i18n ="hero.cta.github "> Explore GitHub </ a >
301- < a class ="cta secondary " href ="#projects " data-i18n ="hero.cta.platforms "> View Platforms </ a >
302- < a class ="cta secondary " href ="#updates " data-i18n ="hero.cta.updates "> Latest Updates </ a >
298+ < a class ="cta primary " href ="https://github.com/ModelTC " target ="_blank " rel ="noopener " data-i18n ="hero.cta.github "> </ a >
299+ < a class ="cta secondary " href ="#projects " data-i18n ="hero.cta.platforms "> </ a >
300+ < a class ="cta secondary " href ="#updates " data-i18n ="hero.cta.updates "> </ a >
303301 </ div >
304302 </ div >
305303 </ header >
306304
307305 < main >
308306 < section id ="projects ">
309307 < div class ="section-heading ">
310- < h2 data-i18n ="projects.title "> Core Platforms </ h2 >
311- < p data-i18n ="projects.subtitle "> 围绕高效大模型部署的四大核心产品矩阵,持续迭代更新中。 </ p >
308+ < h2 data-i18n ="projects.title "> </ h2 >
309+ < p data-i18n ="projects.subtitle "> </ p >
312310 </ div >
313311 < div class ="project-grid ">
314312 < article class ="project-card ">
315313 < h3 > LightCompress</ h3 >
316- < p data-i18n ="projects.lightcompress.description "> 大模型压缩与量化工具链,支持混合精度推理、蒸馏与结构化裁剪,让模型以更小的成本运行得更快。 </ p >
314+ < p data-i18n ="projects.lightcompress.description "> </ p >
317315 < div class ="project-links ">
318- < a class ="project-link " href ="https://github.com/ModelTC/LightCompress " target ="_blank " rel ="noopener " data-i18n ="common.github "> GitHub </ a >
319- < a class ="project-link " href ="https://light-ai.top/blog/lightcompress " target ="_blank " rel ="noopener " data-i18n ="common.blog "> Blog </ a >
316+ < a class ="project-link " href ="https://github.com/ModelTC/LightCompress " target ="_blank " rel ="noopener " data-i18n ="common.github "> </ a >
317+ < a class ="project-link " href ="https://light-ai.top/blog/lightcompress " target ="_blank " rel ="noopener " data-i18n ="common.blog "> </ a >
320318 </ div >
321319 </ article >
322320 < article class ="project-card ">
323321 < h3 > LightLLM</ h3 >
324- < p data-i18n ="projects.lightllm.description "> 轻量级大语言模型与多模态推理框架,覆盖批量、流式和多 GPU 场景,持续输出性能调优最佳实践。 </ p >
322+ < p data-i18n ="projects.lightllm.description "> </ p >
325323 < div class ="project-links ">
326- < a class ="project-link " href ="https://github.com/ModelTC/LightLLM " target ="_blank " rel ="noopener " data-i18n ="common.github "> GitHub </ a >
327- < a class ="project-link " href ="https://modeltc.github.io/lightllm-blog/ " target ="_blank " rel ="noopener " data-i18n ="common.blog "> Blog </ a >
324+ < a class ="project-link " href ="https://github.com/ModelTC/LightLLM " target ="_blank " rel ="noopener " data-i18n ="common.github "> </ a >
325+ < a class ="project-link " href ="https://modeltc.github.io/lightllm-blog/ " target ="_blank " rel ="noopener " data-i18n ="common.blog "> </ a >
328326 </ div >
329327 </ article >
330328 < article class ="project-card ">
331329 < h3 > LightX2V</ h3 >
332- < p data-i18n ="projects.lightx2v.description "> 视频生成推理引擎,专注文本与多模态提示到视频的高保真输出,面向创意生产和虚拟人场景。 </ p >
330+ < p data-i18n ="projects.lightx2v.description "> </ p >
333331 < div class ="project-links ">
334- < a class ="project-link " href ="https://github.com/ModelTC/LightX2V " target ="_blank " rel ="noopener " data-i18n ="common.github "> GitHub </ a >
335- < a class ="project-link " href ="https://light-ai.top/blog/lightx2v " target ="_blank " rel ="noopener " data-i18n ="common.blog "> Blog </ a >
332+ < a class ="project-link " href ="https://github.com/ModelTC/LightX2V " target ="_blank " rel ="noopener " data-i18n ="common.github "> </ a >
333+ < a class ="project-link " href ="https://light-ai.top/blog/lightx2v " target ="_blank " rel ="noopener " data-i18n ="common.blog "> </ a >
336334 </ div >
337335 </ article >
338336 < article class ="project-card ">
339337 < h3 > X2V Studio</ h3 >
340- < p data-i18n ="projects.x2vstudio.description "> 上线体验站点,支持口型驱动和多风格生成,实时探索 LightX2V 模型在生产环境中的表现。 </ p >
338+ < p data-i18n ="projects.x2vstudio.description "> </ p >
341339 < div class ="project-links ">
342- < a class ="project-link " href ="https://x2v.light-ai.top " target ="_blank " rel ="noopener " data-i18n ="projects.x2vstudio.cta "> Open Studio </ a >
340+ < a class ="project-link " href ="https://x2v.light-ai.top " target ="_blank " rel ="noopener " data-i18n ="projects.x2vstudio.cta "> </ a >
343341 </ div >
344342 </ article >
345343 </ div >
346344 </ section >
347345
348346 < section id ="updates ">
349347 < div class ="section-heading ">
350- < h2 data-i18n ="updates.title "> Latest Signals </ h2 >
351- < p data-i18n ="updates.subtitle "> 博客与版本更新会在此同步发布,欢迎订阅 RSS 或加入社区。 </ p >
348+ < h2 data-i18n ="updates.title "> </ h2 >
349+ < p data-i18n ="updates.subtitle "> </ p >
352350 </ div >
353351 < div class ="update-feed ">
354352 < div class ="update-item ">
355- < strong data-i18n ="updates.q1.label "> 2025·Q1 </ strong >
356- < span data-i18n ="updates.q1.content "> LightCompress 推出面向推理部署的 KV Cache 低秩压缩方案,部署成本下降 38%。 </ span >
353+ < strong data-i18n ="updates.q1.label "> </ strong >
354+ < span data-i18n ="updates.q1.content "> </ span >
357355 </ div >
358356 < div class ="update-item ">
359- < strong data-i18n ="updates.feb.label "> 2025·02 </ strong >
360- < span data-i18n ="updates.feb.content "> LightLLM 发布多模态推理加速教程,并新增对视频问答的端到端 Demo 支持。 </ span >
357+ < strong data-i18n ="updates.feb.label "> </ strong >
358+ < span data-i18n ="updates.feb.content "> </ span >
361359 </ div >
362360 < div class ="update-item ">
363- < strong data-i18n ="updates.jan.label "> 2025·01 </ strong >
364- < span data-i18n ="updates.jan.content "> LightX2V 完成 1.3 版本上线,强化口型驱动稳定性,开放体验站 `x2v.light-ai.top`。 </ span >
361+ < strong data-i18n ="updates.jan.label "> </ strong >
362+ < span data-i18n ="updates.jan.content "> </ span >
365363 </ div >
366364 </ div >
367365 </ section >
368366 </ main >
369367
370368 < footer >
371369 < div class ="footer-inner ">
372- < p data-i18n ="footer.copyright "> © 2025 Light AI · Model Tech Collective </ p >
370+ < p data-i18n ="footer.copyright "> </ p >
373371 < p >
374- < a href ="
mailto:[email protected] "
data-i18n ="
footer.contact "
> [email protected] </ a > ·
375- < a href ="https://beian.miit.gov.cn " target ="_blank " rel ="noopener " data-i18n ="footer.icp "> 京ICP备2021026391号-2 </ a >
372+ < a href ="
mailto:[email protected] "
data-i18n ="
footer.contact "
> </ a > ·
373+ < a href ="https://beian.miit.gov.cn " target ="_blank " rel ="noopener " data-i18n ="footer.icp "> </ a >
376374 </ p >
377375 </ div >
378376 </ footer >
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381+ 'hero.title' : 'Light-speed tooling for efficient multi-modal compression and inference .' ,
384382 'hero.subtitle' : 'Light AI delivers an end-to-end toolkit for model compression, inference, and video generation experiences, accelerating every step from research to production.' ,
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391389 'projects.lightllm.description' : 'Lightweight inference stack for large language and multimodal models, covering batched, streaming, and multi-GPU workloads with continuous performance tuning.' ,
392390 'projects.lightx2v.description' : 'Video generation inference engine focused on high-fidelity outputs from text and multimodal prompts for creative and virtual avatar scenarios.' ,
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418- 'projects.lightcompress.description' : '大模型压缩与量化工具链,支持混合精度推理、蒸馏与结构化裁剪,让模型以更小的成本运行得更快 。' ,
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419417 'projects.lightllm.description' : '轻量级大语言模型与多模态推理框架,覆盖批量、流式和多 GPU 场景,持续输出性能调优最佳实践。' ,
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