{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-08-11T09:21:12.743Z","headline":"Liquid AI 发布 LFM2.5-2.6B 端侧小模型，支持智能手机本地运行","description":"Liquid AI 发布开源智能体模型 LFM2.5-2.6B，仅 26 亿参数，可在智能手机等设备端本地部署，同时支持规划、调用、多步骤处理的智能体工作流。该模型在 34T Token 数据集上预训练，并扩展分词器以增强非拉丁字母语言支持，基础和后训练版本已在 Hugging Face 平台提供。","url":"https://www.aioga.com/news/cmsfos2k108asroch05a8ona5/","mainEntityOfPage":"https://www.aioga.com/news/cmsfos2k108asroch05a8ona5/","datePublished":"2026-08-05T05:54:26.000Z","dateModified":"2026-08-05T05:54:26.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://www.ithome.com/0/985/909.htm","https://aihot.virxact.com/items/cmsfos2k108asroch05a8ona5"],"canonicalUrl":"https://www.aioga.com/news/cmsfos2k108asroch05a8ona5/","directAnswer":{"@type":"Answer","text":"Liquid AI 发布开源智能体模型 LFM2.5-2.6B，参数量为 26 亿，可在智能手机等设备端本地部署，并支持规划、调用及多步骤处理工作流。基础版和后训练版已在 Hugging Face 提供。","url":"https://www.aioga.com/news/cmsfos2k108asroch05a8ona5/","dateCreated":"2026-08-05T05:54:26.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"IT之家 source article","url":"https://www.ithome.com/0/985/909.htm","datePublished":"2026-08-05T05:54:26.000Z","provider":{"@type":"Organization","name":"IT之家","url":"https://www.ithome.com/0/985/909.htm"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cmsfos2k108asroch05a8ona5","datePublished":"2026-08-05T05:54:26.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cmsfos2k108asroch05a8ona5"}}],"aggregationSource":"IT之家（RSS）","originalPublisher":{"name":"IT之家","url":"https://www.ithome.com/0/985/909.htm"},"geoDeepAnswer":null,"article":{"id":"cmsfos2k108asroch05a8ona5","slug":"cmsfos2k108asroch05a8ona5","url":"https://www.aioga.com/news/cmsfos2k108asroch05a8ona5/","title":"Liquid AI 发布 LFM2.5-2.6B 端侧小模型，支持智能手机本地运行","title_en":"","summary":"Liquid AI 发布开源智能体模型 LFM2.5-2.6B，仅 26 亿参数，可在智能手机等设备端本地部署，同时支持规划、调用、多步骤处理的智能体工作流。该模型在 34T Token 数据集上预训练，并扩展分词器以增强非拉丁字母语言支持，基础和后训练版本已在 Hugging Face 平台提供。","source":"IT之家（RSS）","sourceUrl":"https://www.ithome.com/0/985/909.htm","aiHotUrl":"https://aihot.virxact.com/items/cmsfos2k108asroch05a8ona5","publishedAt":"2026-08-05T05:54:26.000Z","category":"模型更新","score":61,"selected":false,"articleBody":["IT之家：https://www.ithome.com/ 8 月 5 日消息，人工智能初创企业 Liquid AI 当地时间昨日发布 LFM2.5-2.6B 开源智能体模型。仅 26 亿的参数使得 LFM2.5-2.6B 非常适合在设备端本地部署 ，即使是智能手机也能运行；同时又 足以支持规划、调用、多步骤处理的智能体工作流 。","IT之家了解到，LFM2.5-2.6B 在 34T Token（词元）的数据集上进行预训练，并通过扩展现有分词器增强了对非拉丁字母语言的支持。Liquid AI 在 Hugging Face 平台上同时提供基础和后训练版本的该模型。","根据 Liquid AI 提供的数据，在与 gemma-4-E2B-it、gemma-4-E4B-it、Qwen3.5-4B、Qwen3.5-9B 等更大尺寸模型一道进行基准测试时， LFM2.5-2.6B 在所有指令执行项目和几乎所有工具使用项目中均领先 ，仅在 BFCLv4 测试中落后于 Qwen3.5-9B。","LFM2.5-2.6B 在智能体任务中全面优于两款 Gemma 模型，并与 Qwen 模型表现相近。在 STEM 领域，它在 AA Omniscience 测试中领先，仅在数学测试中落后于 Qwen3.5-9B。编程是唯一一个更大模型仍保持优势的领域。"],"articleImages":[{"sourceUrl":"https://img.ithome.com/newsuploadfiles/2026/8/281a5c9e-701f-4428-8e48-e99c6d243c15.jpg?x-bce-process=image/format,f_auto","alt":"","afterParagraph":1,"url":"/media/articles/cmsfos2k108asroch05a8ona5/d663ee38ea46e3b7.webp"}],"mediaStatus":"ok","articleBodyZh":["Liquid AI 发布 LFM2.5-2.6B 端侧小模型，支持智能手机本地运行 这条更新来自 ithome.com，发布时间为 2026-08-05，Aioga 保留原文入口以便核验。","摘要：Liquid AI 发布开源智能体模型 LFM2.5-2.6B，仅 26 亿参数，可在智能手机等设备端本地部署，同时支持规划、调用、多步骤处理的智能体工作流。该模型在 34T Token 数据集上预训练，并扩展分词器以增强非拉丁字母语言支持，基础和后训练版本已在 Hugging Face 平台提供。","背景：该模型使用 34T Token 数据集进行预训练，并通过扩展现有分词器增强对非拉丁字母语言的支持。报道将其与多款更大尺寸的 Gemma、Qwen 模型进行了智能体、STEM 和编程等基准比较。","Aioga 观察：Aioga 判断，LFM2.5-2.6B 的关注点在于用较小参数规模同时覆盖端侧部署与智能体任务。不过，现有性能结论来自 Liquid AI 提供的数据，尚不足以替代不同设备和真实工作流中的独立验证。","影响与后续：该模型可能为需要本地运行、规划和工具使用能力的端侧应用提供新的开源选择。值得关注的是，其基准结果显示编程仍是更大模型保持优势的领域，具体适用范围仍取决于实际任务表现。 值得关注后续独立测试是否能复现其指令执行、工具使用和 STEM 项目表现，并进一步核查模型在不同智能手机上的运行条件、资源占用，以及非拉丁字母语言支持的实际效果。"],"translationStatus":"","bodyOrigin":"source-page","editorial":{"summary":"Liquid AI 发布开源智能体模型 LFM2.5-2.6B，参数量为 26 亿，可在智能手机等设备端本地部署，并支持规划、调用及多步骤处理工作流。基础版和后训练版已在 Hugging Face 提供。","background":"该模型使用 34T Token 数据集进行预训练，并通过扩展现有分词器增强对非拉丁字母语言的支持。报道将其与多款更大尺寸的 Gemma、Qwen 模型进行了智能体、STEM 和编程等基准比较。","viewpoint":"Aioga 判断，LFM2.5-2.6B 的关注点在于用较小参数规模同时覆盖端侧部署与智能体任务。不过，现有性能结论来自 Liquid AI 提供的数据，尚不足以替代不同设备和真实工作流中的独立验证。","implications":"该模型可能为需要本地运行、规划和工具使用能力的端侧应用提供新的开源选择。值得关注的是，其基准结果显示编程仍是更大模型保持优势的领域，具体适用范围仍取决于实际任务表现。","nextStep":"值得关注后续独立测试是否能复现其指令执行、工具使用和 STEM 项目表现，并进一步核查模型在不同智能手机上的运行条件、资源占用，以及非拉丁字母语言支持的实际效果。","evidenceRefs":["title","summary","articleBody","source"],"status":"published","aiGenerated":true,"autoApproved":true,"generatedBy":"aioga-editorial:gpt-5.6-sol","reviewedBy":"aioga-editorial-review:gpt-5.6-sol","generatedAt":"2026-08-05T06:44:43.139Z","sourceHash":"52be346e4e653db1","review":{"approved":true,"groundedness":97,"clarity":94,"duplicationRisk":18,"blockingIssues":[],"notes":["候选内容准确覆盖了模型参数规模、端侧部署、智能体工作流、预训练数据规模、分词器扩展及 Hugging Face 发布情况。","对基准数据来源局限性的表述明确归于“Aioga 判断”，并将应用价值表述为“可能”，没有将观点或推测冒充既定事实。","后续关注独立复现、不同智能手机运行条件和实际语言支持效果，属于基于来源信息提出的合理核查方向。"]},"validation":{"passed":true,"mode":"ai-auto","revisions":0,"checks":["schema","length","source-attribution","low-source-overlap","no-html","independent-ai-review"]}},"tags":["模型更新","IT之家（RSS）"],"translations":{"zh-CN":{"title":"Liquid AI 发布 LFM2.5-2.6B 端侧小模型，支持智能手机本地运行","summary":"Liquid AI 发布开源智能体模型 LFM2.5-2.6B，仅 26 亿参数，可在智能手机等设备端本地部署，同时支持规划、调用、多步骤处理的智能体工作流。该模型在 34T Token 数据集上预训练，并扩展分词器以增强非拉丁字母语言支持，基础和后训练版本已在 Hugging Face 平台提供。","category":"模型更新","source":"IT之家","aggregationSource":"IT之家（RSS）","pageTitle":"Liquid AI 发布 LFM2.5-2.6B 端侧小模型，支持智能手机本地运行 - Aioga AI资讯","description":"Liquid AI 发布开源智能体模型 LFM2.5-2.6B，仅 26 亿参数，可在智能手机等设备端本地部署，同时支持规划、调用、多步骤处理的智能体工作流。该模型在 34T Token 数据集上预训练，并扩展分词器以增强非拉丁字母语言支持，基础和后训练版本已在 Hugging Face 平台提供。","url":"https://www.aioga.com/news/cmsfos2k108asroch05a8ona5/","articleBody":["Liquid AI 发布 LFM2.5-2.6B 端侧小模型，支持智能手机本地运行 这条更新来自 ithome.com，发布时间为 2026-08-05，Aioga 保留原文入口以便核验。","摘要：Liquid AI 发布开源智能体模型 LFM2.5-2.6B，仅 26 亿参数，可在智能手机等设备端本地部署，同时支持规划、调用、多步骤处理的智能体工作流。该模型在 34T Token 数据集上预训练，并扩展分词器以增强非拉丁字母语言支持，基础和后训练版本已在 Hugging Face 平台提供。","背景：该模型使用 34T Token 数据集进行预训练，并通过扩展现有分词器增强对非拉丁字母语言的支持。报道将其与多款更大尺寸的 Gemma、Qwen 模型进行了智能体、STEM 和编程等基准比较。","Aioga 观察：Aioga 判断，LFM2.5-2.6B 的关注点在于用较小参数规模同时覆盖端侧部署与智能体任务。不过，现有性能结论来自 Liquid AI 提供的数据，尚不足以替代不同设备和真实工作流中的独立验证。","影响与后续：该模型可能为需要本地运行、规划和工具使用能力的端侧应用提供新的开源选择。值得关注的是，其基准结果显示编程仍是更大模型保持优势的领域，具体适用范围仍取决于实际任务表现。 值得关注后续独立测试是否能复现其指令执行、工具使用和 STEM 项目表现，并进一步核查模型在不同智能手机上的运行条件、资源占用，以及非拉丁字母语言支持的实际效果。"]},"en":{"title":"Liquid AI released the LFM2.5-2.6B on-device small model, supporting local smartphone operation","summary":"Liquid AI released the open-source agent model LFM2.5-2.6B, with only 2.6 billion parameters, which can be deployed locally on devices such as smartphones, while supporting agent workflows for planning, invocation, and multi-step processing. The model is pretrained on the 34T Token dataset and extends the segmented word to enhance support for non-Latin alphabet languages; both basic and post-trained versions are available on the Hugging Face platform.","category":"Models","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Liquid AI released the LFM2.5-2.6B on-device small model, supporting local smartphone operation - Aioga AI News","description":"Liquid AI released the open-source agent model LFM2.5-2.6B, with only 2.6 billion parameters, which can be deployed locally on devices such as smartphones, while supporting agent w...","url":"https://www.aioga.com/en/news/cmsfos2k108asroch05a8ona5/","contentTranslated":true,"sourceHash":"32df6b247f636bf1","translatedAt":"2026-08-05T06:22:33.867Z"},"ja":{"title":"Liquid AIは、ローカルスマートフォン対応をサポートするLFM2.5-2.6Bのオンデバイス小型モデルをリリースしました","summary":"Liquid AIはオープンソースのエージェントモデルLFM2.5-2.6Bをリリースしました。パラメータはわずか26億個で、スマートフォンなどのデバイスにローカルで展開でき、計画、呼び出し、多段階処理のためのエージェントワークフローもサポートしています。 このモデルは34T Tokenデータセットで事前学習されており、非ラテン文字言語のサポートを強化するために分割語を拡張しています。基本版と後学習版の両方がHugging Faceプラットフォーム上で利用可能です。","category":"モデル更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Liquid AIは、ローカルスマートフォン対応をサポートするLFM2.5-2.6Bのオンデバイス小型モデルをリリースしました - Aioga AIニュース","description":"Liquid AIはオープンソースのエージェントモデルLFM2.5-2.6Bをリリースしました。パラメータはわずか26億個で、スマートフォンなどのデバイスにローカルで展開でき、計画、呼び出し、多段階処理のためのエージェントワークフローもサポートしています。 このモデルは34T Tokenデータセットで事前学習されており、非ラテン文字言語のサポートを強化するた...","url":"https://www.aioga.com/ja/news/cmsfos2k108asroch05a8ona5/","contentTranslated":true,"sourceHash":"32df6b247f636bf1","translatedAt":"2026-08-05T06:22:34.112Z"},"ko":{"title":"Liquid AI는 로컬 스마트폰 작동을 지원하는 LFM2.5-2.6B 온디바이스 소형 모델을 출시했습니다","summary":"Liquid AI는 26억 개의 매개변수만 가진 오픈 소스 에이전트 모델 LFM2.5-2.6B를 출시했으며, 스마트폰과 같은 장치에 로컬로 배포할 수 있고, 계획, 호출, 다단계 처리를 위한 에이전트 워크플로우를 지원합니다. 이 모델은 34T 토큰 데이터셋에서 사전 학습되었으며, 분할된 단어를 확장하여 비라틴 알파벳 언어 지원을 강화합니다; 기본 버전과 학습 후 버전 모두 Hugging Face 플랫폼에서 제공됩니다.","category":"모델 업데이트","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Liquid AI는 로컬 스마트폰 작동을 지원하는 LFM2.5-2.6B 온디바이스 소형 모델을 출시했습니다 - Aioga AI 뉴스","description":"Liquid AI는 26억 개의 매개변수만 가진 오픈 소스 에이전트 모델 LFM2.5-2.6B를 출시했으며, 스마트폰과 같은 장치에 로컬로 배포할 수 있고, 계획, 호출, 다단계 처리를 위한 에이전트 워크플로우를 지원합니다. 이 모델은 34T 토큰 데이터셋에서 사전 학습되었으며, 분할된 단어를 확장하여 비라틴 알파벳 언어...","url":"https://www.aioga.com/ko/news/cmsfos2k108asroch05a8ona5/","contentTranslated":true,"sourceHash":"32df6b247f636bf1","translatedAt":"2026-08-05T06:22:42.897Z"},"es":{"title":"Liquid AI lanzó el modelo pequeño LFM2.5-2.6B en el dispositivo, que soporta la operación local de smartphones","summary":"Liquid AI lanzó el modelo de agente de código abierto LFM2.5-2.6B, con solo 2.600 millones de parámetros, que puede desplegarse localmente en dispositivos como smartphones, al tiempo que soporta flujos de trabajo de agentes para planificación, invocación y procesamiento en varios pasos. El modelo está preentrenado en el conjunto de datos 34T Token y amplía la palabra segmentada para mejorar el soporte de lenguas con alfabeto no latino; tanto versiones básicas como postentrenadas están disponibles en la plataforma Hugging Face.","category":"Modelos","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Liquid AI lanzó el modelo pequeño LFM2.5-2.6B en el dispositivo, que soporta la operación local de smartphones - Aioga Noticias de IA","description":"Liquid AI lanzó el modelo de agente de código abierto LFM2.5-2.6B, con solo 2.600 millones de parámetros, que puede desplegarse localmente en dispositivos como smartphones, al tiem...","url":"https://www.aioga.com/es/news/cmsfos2k108asroch05a8ona5/","contentTranslated":true,"sourceHash":"32df6b247f636bf1","translatedAt":"2026-08-05T06:22:42.394Z"},"fr":{"title":"Liquid AI a lancé le modèle LFM2.5-2.6B de petite taille embarqué, prenant en charge l’exploitation locale de smartphones","summary":"Liquid AI a publié le modèle d’agent open source LFM2.5-2.6B, avec seulement 2,6 milliards de paramètres, qui peut être déployé localement sur des appareils tels que les smartphones, tout en prenant en charge les flux de travail des agents pour la planification, l’invocation et le traitement en plusieurs étapes. Le modèle est pré-entraîné sur le jeu de données 34T Token et étend le mot segmenté pour améliorer le support des langues non latines ; des versions basiques et post-entraînées sont disponibles sur la plateforme Hugging Face.","category":"Modèles","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Liquid AI a lancé le modèle LFM2.5-2.6B de petite taille embarqué, prenant en charge l’exploitation locale de smartphones - Aioga Actualités IA","description":"Liquid AI a publié le modèle d’agent open source LFM2.5-2.6B, avec seulement 2,6 milliards de paramètres, qui peut être déployé localement sur des appareils tels que les smartphone...","url":"https://www.aioga.com/fr/news/cmsfos2k108asroch05a8ona5/","contentTranslated":true,"sourceHash":"32df6b247f636bf1","translatedAt":"2026-08-05T06:22:51.543Z"},"de":{"title":"Liquid AI brachte das LFM2.5-2.6B On-Device Small Model heraus, das den lokalen Smartphone-Betrieb unterstützt","summary":"Liquid AI veröffentlichte das Open-Source-Agentenmodell LFM2.5-2.6B mit nur 2,6 Milliarden Parametern, das lokal auf Geräten wie Smartphones bereitgestellt werden kann und gleichzeitig Agenten-Workflows für Planung, Invocation und mehrstufige Verarbeitung unterstützt. Das Modell ist auf dem 34T Token-Datensatz vortrainiert und erweitert das segmentierte Wort, um die Unterstützung für nicht-lateinische Alphabetsprachen zu verbessern; sowohl die Grund- als auch die Nachbearbeitungsversionen sind auf der Plattform Hugging Face verfügbar.","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Liquid AI brachte das LFM2.5-2.6B On-Device Small Model heraus, das den lokalen Smartphone-Betrieb unterstützt - Aioga KI-News","description":"Liquid AI veröffentlichte das Open-Source-Agentenmodell LFM2.5-2.6B mit nur 2,6 Milliarden Parametern, das lokal auf Geräten wie Smartphones bereitgestellt werden kann und gleichze...","url":"https://www.aioga.com/de/news/cmsfos2k108asroch05a8ona5/","contentTranslated":true,"sourceHash":"32df6b247f636bf1","translatedAt":"2026-08-05T06:22:51.677Z"},"pt-BR":{"title":"A Liquid AI lançou o modelo pequeno LFM2.5-2.6B integrado ao dispositivo, suportando operação local de smartphones","summary":"A Liquid AI lançou o modelo de agente de código aberto LFM2.5-2.6B, com apenas 2,6 bilhões de parâmetros, que pode ser implantado localmente em dispositivos como smartphones, além de suportar fluxos de trabalho de agentes para planejamento, invocação e processamento em múltiplas etapas. O modelo é pré-treinado no conjunto de dados 34T Token e estende a palavra segmentada para aprimorar o suporte a línguas não latinas; versões básicas e pós-treinadas estão disponíveis na plataforma Hugging Face.","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"A Liquid AI lançou o modelo pequeno LFM2.5-2.6B integrado ao dispositivo, suportando operação local de smartphones - Aioga Notícias de IA","description":"A Liquid AI lançou o modelo de agente de código aberto LFM2.5-2.6B, com apenas 2,6 bilhões de parâmetros, que pode ser implantado localmente em dispositivos como smartphones, além...","url":"https://www.aioga.com/pt-BR/news/cmsfos2k108asroch05a8ona5/","contentTranslated":true,"sourceHash":"32df6b247f636bf1","translatedAt":"2026-08-05T06:23:00.715Z"},"ru":{"title":"Liquid AI выпустила малую модель LFM2.5-2.6B на устройстве, поддерживающую локальную работу смартфонов","summary":"Liquid AI выпустила модель агента с открытым исходным кодом LFM2.5-2.6B с всего 2,6 миллиардами параметров, которые могут быть локально внедрены на устройствах, таких как смартфоны, при этом поддерживая рабочие процессы агентов для планирования, вызова и многоступенчатой обработки. Модель предварительно обучена на наборе данных 34T Token и расширяет сегментированное слово для усиления поддержки языков, не связанных с латинским алфавитом; на платформе Hugging Face доступны как базовые, так и постобучаемые версии.","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Liquid AI выпустила малую модель LFM2.5-2.6B на устройстве, поддерживающую локальную работу смартфонов - Aioga Новости ИИ","description":"Liquid AI выпустила модель агента с открытым исходным кодом LFM2.5-2.6B с всего 2,6 миллиардами параметров, которые могут быть локально внедрены на устройствах, таких как смартфоны...","url":"https://www.aioga.com/ru/news/cmsfos2k108asroch05a8ona5/","contentTranslated":true,"sourceHash":"32df6b247f636bf1","translatedAt":"2026-08-05T06:23:00.417Z"},"ar":{"title":"أصدرت Liquid AI نموذج LFM2.5-2.6B الصغير على الأجهزة، يدعم تشغيل الهواتف الذكية المحلية","summary":"أصدرت Liquid AI نموذج الوكيل مفتوح المصدر LFM2.5-2.6B، الذي يحتوي فقط على 2.6 مليار معلم، ويمكن نشره محليا على أجهزة مثل الهواتف الذكية، مع دعم سير عمل الوكلاء للتخطيط، والاستدعاء، والمعالجة متعددة الخطوات. النموذج مدرب مسبقا على مجموعة بيانات رمز 34T ويوسع الكلمة المقسمة لتعزيز دعم لغات الأبجدية غير اللاتينية؛ تتوفر نسخ أساسية ونسخ ما بعد التدريب على منصة Hugging Face.","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"أصدرت Liquid AI نموذج LFM2.5-2.6B الصغير على الأجهزة، يدعم تشغيل الهواتف الذكية المحلية - Aioga أخبار الذكاء الاصطناعي","description":"أصدرت Liquid AI نموذج الوكيل مفتوح المصدر LFM2.5-2.6B، الذي يحتوي فقط على 2.6 مليار معلم، ويمكن نشره محليا على أجهزة مثل الهواتف الذكية، مع دعم سير عمل الوكلاء للتخطيط، والاستدعاء،...","url":"https://www.aioga.com/ar/news/cmsfos2k108asroch05a8ona5/","contentTranslated":true,"sourceHash":"32df6b247f636bf1","translatedAt":"2026-08-05T06:23:07.892Z"},"hi":{"title":"लिक्विड एआई ने LFM2.5-2.6B ऑन-डिवाइस छोटा मॉडल जारी किया, जो स्थानीय स्मार्टफोन संचालन का समर्थन करता है","summary":"लिक्विड एआई ने ओपन-सोर्स एजेंट मॉडल LFM2.5-2.6B जारी किया, जिसमें केवल 2.6 बिलियन पैरामीटर थे, जिन्हें स्मार्टफ़ोन जैसे उपकरणों पर स्थानीय रूप से तैनात किया जा सकता है, जबकि योजना, आह्वान और बहु-चरणीय प्रसंस्करण के लिए एजेंट वर्कफ़्लो का समर्थन किया जा सकता है। मॉडल को 34T टोकन डेटासेट पर पूर्व-प्रशिक्षित किया गया है और गैर-लैटिन वर्णमाला भाषाओं के लिए समर्थन बढ़ाने के लिए खंडित शब्द का विस्तार किया गया है; बुनियादी और बाद के प्रशिक्षित दोनों संस्करण हगिंग फेस प्लेटफॉर्म पर उपलब्ध हैं।","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"लिक्विड एआई ने LFM2.5-2.6B ऑन-डिवाइस छोटा मॉडल जारी किया, जो स्थानीय स्मार्टफोन संचालन का समर्थन करता है - Aioga AI समाचार","description":"लिक्विड एआई ने ओपन-सोर्स एजेंट मॉडल LFM2.5-2.6B जारी किया, जिसमें केवल 2.6 बिलियन पैरामीटर थे, जिन्हें स्मार्टफ़ोन जैसे उपकरणों पर स्थानीय रूप से तैनात किया जा सकता है, जबकि योजना,...","url":"https://www.aioga.com/hi/news/cmsfos2k108asroch05a8ona5/","contentTranslated":true,"sourceHash":"32df6b247f636bf1","translatedAt":"2026-08-05T06:23:08.640Z"},"it":{"title":"Liquid AI ha rilasciato il modello piccolo LFM2.5-2.6B su dispositivo, supportando l'uso locale di smartphone","summary":"Liquid AI ha rilasciato il modello di agente open-source LFM2.5-2.6B, con soli 2,6 miliardi di parametri, che può essere distribuito localmente su dispositivi come smartphone, supportando al contempo i flussi di lavoro degli agenti per pianificazione, invocazione ed elaborazione a più fasi. Il modello è pre-addestrato sul dataset 34T Token ed estende la parola segmentata per migliorare il supporto alle lingue con alfabeto non latino; versioni base e post-addestrate sono disponibili sulla piattaforma Hugging Face.","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Liquid AI ha rilasciato il modello piccolo LFM2.5-2.6B su dispositivo, supportando l'uso locale di smartphone - Aioga Notizie IA","description":"Liquid AI ha rilasciato il modello di agente open-source LFM2.5-2.6B, con soli 2,6 miliardi di parametri, che può essere distribuito localmente su dispositivi come smartphone, supp...","url":"https://www.aioga.com/it/news/cmsfos2k108asroch05a8ona5/","contentTranslated":true,"sourceHash":"32df6b247f636bf1","translatedAt":"2026-08-05T06:23:16.494Z"},"nl":{"title":"Liquid AI bracht het LFM2.5-2.6B on-device small model uit, dat lokale smartphone-bediening ondersteunt","summary":"Liquid AI bracht het open-source agentmodel LFM2.5-2.6B uit, met slechts 2,6 miljard parameters, dat lokaal kan worden ingezet op apparaten zoals smartphones, terwijl het agentworkflows voor planning, aanroepen en meerstapsverwerking ondersteunt. Het model is vooraf getraind op de 34T Token-dataset en breidt het gesegmenteerde woord uit om de ondersteuning voor niet-Latijnse alfabettalen te verbeteren; zowel basis- als post-getrainde versies zijn beschikbaar op het Hugging Face-platform.","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Liquid AI bracht het LFM2.5-2.6B on-device small model uit, dat lokale smartphone-bediening ondersteunt - Aioga AI-nieuws","description":"Liquid AI bracht het open-source agentmodel LFM2.5-2.6B uit, met slechts 2,6 miljard parameters, dat lokaal kan worden ingezet op apparaten zoals smartphones, terwijl het agentwork...","url":"https://www.aioga.com/nl/news/cmsfos2k108asroch05a8ona5/","contentTranslated":true,"sourceHash":"32df6b247f636bf1","translatedAt":"2026-08-05T06:23:17.341Z"},"tr":{"title":"Liquid AI, yerel akıllı telefon çalışmasını destekleyen LFM2.5-2.6B cihaz içi küçük modelini piyasaya sürdü","summary":"Liquid AI, yalnızca 2,6 milyar parametre içeren açık kaynaklı ajan modeli LFM2.5-2.6B'yi piyasaya sürdü; bu model akıllı telefonlar gibi cihazlarda yerel olarak dağıtılabilir ve planlama, çağırma ve çok aşamalı işlem için ajan iş akışlarını desteklemektedir. Model, 34T Token veri seti üzerinde önceden eğitilmiştir ve segmentli kelimeyi genişleterek Latin alfabesi dışı dilleri destekler; hem temel hem de sonradan eğitilmiş versiyonlar Hugging Face platformunda mevcuttur.","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Liquid AI, yerel akıllı telefon çalışmasını destekleyen LFM2.5-2.6B cihaz içi küçük modelini piyasaya sürdü - Aioga AI Haberleri","description":"Liquid AI, yalnızca 2,6 milyar parametre içeren açık kaynaklı ajan modeli LFM2.5-2.6B'yi piyasaya sürdü; bu model akıllı telefonlar gibi cihazlarda yerel olarak dağıtılabilir ve pl...","url":"https://www.aioga.com/tr/news/cmsfos2k108asroch05a8ona5/","contentTranslated":true,"sourceHash":"32df6b247f636bf1","translatedAt":"2026-08-05T06:23:25.856Z"},"vi":{"title":"Liquid AI đã ra mắt mẫu nhỏ LFM2.5-2.6B trên thiết bị, hỗ trợ vận hành điện thoại thông minh tại chỗ","summary":"Liquid AI đã phát hành mô hình agent mã nguồn mở LFM2.5-2.6B, chỉ với 2,6 tỷ tham số, có thể triển khai cục bộ trên các thiết bị như điện thoại thông minh, đồng thời hỗ trợ quy trình làm việc của agent cho lập kế hoạch, gọi và xử lý nhiều bước. Mô hình được huấn luyện trước trên bộ dữ liệu 34T Token và mở rộng từ phân đoạn để nâng cao hỗ trợ cho các ngôn ngữ bảng chữ cái không phải Latin; cả phiên bản cơ bản và sau huấn luyện đều có trên nền tảng Hugging Face.","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Liquid AI đã ra mắt mẫu nhỏ LFM2.5-2.6B trên thiết bị, hỗ trợ vận hành điện thoại thông minh tại chỗ - Tin tức AI Aioga","description":"Liquid AI đã phát hành mô hình agent mã nguồn mở LFM2.5-2.6B, chỉ với 2,6 tỷ tham số, có thể triển khai cục bộ trên các thiết bị như điện thoại thông minh, đồng thời hỗ trợ quy trì...","url":"https://www.aioga.com/vi/news/cmsfos2k108asroch05a8ona5/","contentTranslated":true,"sourceHash":"32df6b247f636bf1","translatedAt":"2026-08-05T06:23:24.900Z"},"id":{"title":"Liquid AI merilis model kecil LFM2.5-2.6B di perangkat, mendukung operasi smartphone lokal","summary":"Liquid AI merilis model agen open-source LFM2.5-2.6B, dengan hanya 2,6 miliar parameter, yang dapat diterapkan secara lokal pada perangkat seperti smartphone, sekaligus mendukung alur kerja agen untuk perencanaan, pemanggilan, dan pemrosesan bertahap berulang. Model ini telah dilatih sebelumnya pada dataset Token 34T dan memperluas kata tersegmentasi untuk meningkatkan dukungan bahasa alfabet non-Latin; baik versi dasar maupun pasca-pelatihan tersedia di platform Hugging Face.","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Liquid AI merilis model kecil LFM2.5-2.6B di perangkat, mendukung operasi smartphone lokal - Berita AI Aioga","description":"Liquid AI merilis model agen open-source LFM2.5-2.6B, dengan hanya 2,6 miliar parameter, yang dapat diterapkan secara lokal pada perangkat seperti smartphone, sekaligus mendukung a...","url":"https://www.aioga.com/id/news/cmsfos2k108asroch05a8ona5/","contentTranslated":true,"sourceHash":"32df6b247f636bf1","translatedAt":"2026-08-05T06:23:33.440Z"},"th":{"title":"Liquid AI เปิดตัวรุ่นเล็ก LFM2.5-2.6B บนอุปกรณ์ รองรับการใช้งานสมาร์ทโฟนในพื้นที่","summary":"Liquid AI ได้ปล่อยโมเดลเอเจนต์แบบโอเพ่นซอร์ส LFM2.5-2.6B ซึ่งมีพารามิเตอร์เพียง 2.6 พันล้านตัว ซึ่งสามารถติดตั้งในเครื่อง เช่น สมาร์ทโฟน พร้อมทั้งรองรับเวิร์กโฟลว์ของเอเจนต์สําหรับการวางแผน การเรียกใช้งาน และการประมวลผลหลายขั้นตอน โมเดลนี้ถูกฝึกล่วงหน้าบนชุดข้อมูล 34T Token และขยายคําที่แบ่งส่วนเพื่อเสริมการรองรับภาษาที่ไม่ใช่อักษรละติน; ทั้งเวอร์ชันพื้นฐานและหลังฝึกมีให้ดาวน์โหลดบนแพลตฟอร์ม Hugging Face","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Liquid AI เปิดตัวรุ่นเล็ก LFM2.5-2.6B บนอุปกรณ์ รองรับการใช้งานสมาร์ทโฟนในพื้นที่ - ข่าว AI Aioga","description":"Liquid AI ได้ปล่อยโมเดลเอเจนต์แบบโอเพ่นซอร์ส LFM2.5-2.6B ซึ่งมีพารามิเตอร์เพียง 2.6 พันล้านตัว ซึ่งสามารถติดตั้งในเครื่อง เช่น สมาร์ทโฟน พร้อมทั้งรองรับเวิร์กโฟลว์ของเอเจนต์สําหรับ...","url":"https://www.aioga.com/th/news/cmsfos2k108asroch05a8ona5/","contentTranslated":true,"sourceHash":"32df6b247f636bf1","translatedAt":"2026-08-05T06:23:34.551Z"},"pl":{"title":"Liquid AI wypuściło model LFM2.5-2.6B na urządzeniu, wspierający lokalną obsługę smartfonów","summary":"Liquid AI wypuściło model agenta open-source LFM2.5-2.6B, zawierający zaledwie 2,6 miliarda parametrów, który może być wdrażany lokalnie na urządzeniach takich jak smartfony, jednocześnie wspierając przepływy pracy agentów do planowania, wywoływania i przetwarzania wieloetapowego. Model jest wstępnie trenowany na zbiorze danych 34T Token i rozszerza segmentowane słowo, aby zwiększyć wsparcie dla języków alfabetu niełacińskiego; zarówno wersje podstawowe, jak i posttrenowane są dostępne na platformie Hugging Face.","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Liquid AI wypuściło model LFM2.5-2.6B na urządzeniu, wspierający lokalną obsługę smartfonów - Aioga Wiadomości AI","description":"Liquid AI wypuściło model agenta open-source LFM2.5-2.6B, zawierający zaledwie 2,6 miliarda parametrów, który może być wdrażany lokalnie na urządzeniach takich jak smartfony, jedno...","url":"https://www.aioga.com/pl/news/cmsfos2k108asroch05a8ona5/","contentTranslated":true,"sourceHash":"32df6b247f636bf1","translatedAt":"2026-08-05T06:23:42.516Z"}}}}