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<url><loc>https://korshunov.ai/en/article/20694-llama-cpp-b10622-fixes-metal-oom-crash-on-ios-macos/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-25T13:34:26.924432+00:00</news:publication_date><news:title>llama.cpp b10622 fixes Metal OOM crash on iOS/macOS</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/20694-llama-cpp-b10622-ispravliaet-sboi-oom-metal-na-ios-macos/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-25T13:34:26.924432+00:00</news:publication_date><news:title>llama.cpp b10622 исправляет сбой OOM Metal на iOS/macOS</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/20694-llama-cpp-b10622-corrige-el-bloqueo-oom-de-metal-en-ios-macos/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-25T13:34:26.924432+00:00</news:publication_date><news:title>llama.cpp b10622 corrige el bloqueo OOM de Metal en iOS/macOS</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/20694-llama-cpp-b10622-xiu-fu-liao-ios-macos-shang-metal-oom-beng-kui-wen-ti/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-25T13:34:26.924432+00:00</news:publication_date><news:title>llama.cpp b10622 修复了 iOS/macOS 上 Metal OOM 崩溃问题</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/20694-llama-cpp-b10622-corrige-falha-oom-do-metal-no-ios-macos/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-25T13:34:26.924432+00:00</news:publication_date><news:title>llama.cpp b10622 corrige falha OOM do Metal no iOS/macOS</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/20694-llama-cpp-b10622-ne-ios-macos-pr-metal-oom-kraish-ko-tthiik-kiyaa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-25T13:34:26.924432+00:00</news:publication_date><news:title>llama.cpp b10622 ने iOS/macOS पर Metal OOM क्रैश को ठीक किया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/20694-llama-cpp-b10622-ka-ios-macos-teno-metal-oom-kuratsushiyuwoxiu-zheng/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-25T13:34:26.924432+00:00</news:publication_date><news:title>llama.cpp b10622 が iOS/macOS での Metal OOM クラッシュを修正</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/20694-llama-cpp-b10622-ios-macoseseo-metal-oom-keuraesi-sujeong/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-25T13:34:26.924432+00:00</news:publication_date><news:title>llama.cpp b10622, iOS/macOS에서 Metal OOM 크래시 수정</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/20694-llama-cpp-b10622-corrige-le-plantage-oom-de-metal-sur-ios-macos/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-25T13:34:26.924432+00:00</news:publication_date><news:title>llama.cpp b10622 corrige le plantage OOM de Metal sur iOS/macOS</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/20694-llama-cpp-b10622-memperbaiki-crash-oom-metal-di-ios-macos/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-25T13:34:26.924432+00:00</news:publication_date><news:title>llama.cpp b10622 memperbaiki crash OOM Metal di iOS/macOS</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/20694-slh-llama-cpp-b10622-lnhyr-oom-fy-metal-l-ios-macos/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-25T13:34:26.924432+00:00</news:publication_date><news:title>إصلاح llama.cpp b10622 لانهيار OOM في Metal على iOS/macOS</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/20693-papers-with-codekahaihuritsutolun-wen-jian-suo-nihugging-facesa-hisuwohuo-yong/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-25T13:22:24.178868+00:00</news:publication_date><news:title>Papers with Codeがハイブリッド論文検索にHugging Faceサービスを活用</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/20693-papers-with-code-uses-hugging-face-services-for-hybrid-paper-search/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-25T13:22:24.178868+00:00</news:publication_date><news:title>Papers with Code uses Hugging Face services for hybrid paper search</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/20693-papers-with-code-ispolzuet-servisy-hugging-face-dlia-gibridnogo-poiska-po/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-25T13:22:24.178868+00:00</news:publication_date><news:title>Papers with Code использует сервисы Hugging Face для гибридного поиска по статьям</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/20693-papers-with-code-utiliza-servicios-de-hugging-face-para-busqueda-hibrida-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-25T13:22:24.178868+00:00</news:publication_date><news:title>Papers with Code utiliza servicios de Hugging Face para búsqueda híbrida de artículos</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/20693-papers-with-code-shi-yong-hugging-face-fu-wu-jin-xing-hun-he-lun-wen-sou-suo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-25T13:22:24.178868+00:00</news:publication_date><news:title>Papers with Code 使用 Hugging Face 服务进行混合论文搜索</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/20693-papers-with-code-usa-servicos-do-hugging-face-para-pesquisa-hibrida-de-artigos/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-25T13:22:24.178868+00:00</news:publication_date><news:title>Papers with Code usa serviços do Hugging Face para pesquisa híbrida de artigos</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/20693-papers-with-code-haaibridd-pepr-khoj-ke-lie-hugging-face-sevaaon-kaa-upyog-krtaa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-25T13:22:24.178868+00:00</news:publication_date><news:title>Papers with Code हाइब्रिड पेपर खोज के लिए Hugging Face सेवाओं का उपयोग करता है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/20693-papers-with-codega-haibeurideu-nonmun-geomsaegeul-wihae-hugging-face-hwalyong/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-25T13:22:24.178868+00:00</news:publication_date><news:title>Papers with Code가 하이브리드 논문 검색을 위해 Hugging Face 서비스를 활용</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/20693-papers-with-code-utilise-les-services-de-hugging-face-pour-une-recherche-hybride/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-25T13:22:24.178868+00:00</news:publication_date><news:title>Papers with Code utilise les services de Hugging Face pour une recherche hybride d'articles</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/20693-papers-with-code-menggunakan-layanan-hugging-face-untuk-pencarian-paper-hibrida/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-25T13:22:24.178868+00:00</news:publication_date><news:title>Papers with Code menggunakan layanan Hugging Face untuk pencarian paper hibrida</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/20693-ystkhdm-papers-with-code-khdmt-hugging-face-llbhth-lhjyn-fy-lwrq-lbhthy/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-25T13:22:24.178868+00:00</news:publication_date><news:title>يستخدم Papers with Code خدمات Hugging Face للبحث الهجين في الأوراق البحثية</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/20692-multiverse-computing-s-qah-makes-4-bit-gpt-oss-outperform-its-full-precision/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-25T12:59:19.842375+00:00</news:publication_date><news:title>Multiverse Computing's QAH makes 4-bit GPT-OSS outperform its full-precision original</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/20692-qah-ot-multiverse-computing-pozvoliaet-4-bitnoi-modeli-gpt-oss-prevzoiti-ee/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-25T12:59:19.842375+00:00</news:publication_date><news:title>QAH от Multiverse Computing позволяет 4-битной модели GPT-OSS превзойти её полнопрецизионный оригинал</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/20692-la-qah-de-multiverse-computing-hace-que-gpt-oss-de-4-bits-supere-a-su-version-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-25T12:59:19.842375+00:00</news:publication_date><news:title>La QAH de Multiverse Computing hace que GPT-OSS de 4 bits supere a su versión original de precisión completa</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/20692-multiverse-computing-de-qah-shi-4-wei-gpt-oss-chao-yue-qi-quan-jing-du-yuan-ban/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-25T12:59:19.842375+00:00</news:publication_date><news:title>Multiverse Computing 的 QAH 使 4 位 GPT-OSS 超越其全精度原版</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/20692-qah-da-multiverse-computing-faz-gpt-oss-em-4-bits-superar-sua-versao-original-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-25T12:59:19.842375+00:00</news:publication_date><news:title>QAH da Multiverse Computing faz GPT-OSS em 4 bits superar sua versão original de precisão completa</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/20692-mlttiivrs-knpyuutting-kaa-qah-4-bitt-gpt-oss-ko-iske-puurnn-priisijn-muul-se-men/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-25T12:59:19.842375+00:00</news:publication_date><news:title>मल्टीवर्स कंप्यूटिंग का QAH 4-बिट GPT-OSS को इसके पूर्ण-प्रीसिजन मूल से बेहतर प्रदर्शन करने में सक्षम बनाता है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/20692-multiverse-computingnoqahka4hitsutogpt-osswohurujing-du-ban-yoriyou-wei-nisuru/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-25T12:59:19.842375+00:00</news:publication_date><news:title>Multiverse ComputingのQAHが4ビットGPT-OSSをフル精度版より優位にする</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/20692-multiverse-computingyi-qahga-4biteu-gpt-ossreul-puljeongmil-weonbonboda-deo-jal/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-25T12:59:19.842375+00:00</news:publication_date><news:title>Multiverse Computing의 QAH가 4비트 GPT-OSS를 풀정밀 원본보다 더 잘 수행하게 만듦</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/20692-le-qah-de-multiverse-computing-permet-au-gpt-oss-en-4-bits-de-surpasser-sa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-25T12:59:19.842375+00:00</news:publication_date><news:title>Le QAH de Multiverse Computing permet au GPT-OSS en 4 bits de surpasser sa version pleine précision</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/20692-qah-dari-multiverse-computing-membuat-gpt-oss-4-bit-melampaui-versi-aslinya/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-25T12:59:19.842375+00:00</news:publication_date><news:title>QAH dari Multiverse Computing membuat GPT-OSS 4-bit melampaui versi aslinya presisi penuh</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/20692-tqny-qah-mn-multiverse-computing-tj-l-nmwdhj-gpt-oss-bdq-4-bt-ytfwq-l-nskhth-ldq/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-25T12:59:19.842375+00:00</news:publication_date><news:title>تقنية QAH من Multiverse Computing تجعل نموذج GPT-OSS بدقة 4 بت يتفوق على نسخته الكاملة الدقة</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/20686-llama-cpp-0-3-0-adds-dots3-note-model-and-tensor-split-for-deepseek-4/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-25T12:18:46.478018+00:00</news:publication_date><news:title>llama.cpp 0.3.0 adds dots3-note model and tensor-split for DeepSeek 4</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/20686-llama-cpp-0-3-0-menambahkan-model-dots3-note-dan-tensor-split-untuk-deepseek-4/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-25T12:18:46.478018+00:00</news:publication_date><news:title>llama.cpp 0.3.0 menambahkan model dots3-note dan tensor-split untuk DeepSeek 4</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/20686-llama-cpp-0-3-0-dobavliaet-model-dots3-note-i-razdelenie-tenzorov-dlia-deepseek/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-25T12:18:46.478018+00:00</news:publication_date><news:title>llama.cpp 0.3.0 добавляет модель dots3-note и разделение тензоров для DeepSeek 4</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/20686-llama-cpp-0-3-0-anade-el-modelo-dots3-note-y-tensor-split-para-deepseek-4/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-25T12:18:46.478018+00:00</news:publication_date><news:title>llama.cpp 0.3.0 añade el modelo dots3-note y tensor-split para DeepSeek 4</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/20686-llama-cpp-0-3-0-xin-zeng-dots3-note-mo-xing-ji-zhen-dui-deepseek-4-de-tensor-zhi/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-25T12:18:46.478018+00:00</news:publication_date><news:title>llama.cpp 0.3.0 新增 dots3-note 模型及针对 DeepSeek 4 的 tensor-split 支持</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/20686-llama-cpp-0-3-0-adiciona-modelo-dots3-note-e-tensor-split-para-deepseek-4/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-25T12:18:46.478018+00:00</news:publication_date><news:title>llama.cpp 0.3.0 adiciona modelo dots3-note e tensor-split para DeepSeek 4</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/20686-llama-cpp-0-3-0-men-deepseek-4-ke-lie-dots3-note-monddl-aur-tensor-split-joddaa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-25T12:18:46.478018+00:00</news:publication_date><news:title>llama.cpp 0.3.0 में DeepSeek 4 के लिए dots3-note मॉडल और tensor-split जोड़ा गया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/20686-llama-cpp-0-3-0-ka-dots3-note-moteruto-deepseek-4-no-tensor-split-wozhui-jia/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-25T12:18:46.478018+00:00</news:publication_date><news:title>llama.cpp 0.3.0 が dots3-note モデルと DeepSeek 4 の tensor-split を追加</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/20686-llama-cpp-0-3-0i-dots3-note-modelgwa-deepseek-4yong-tenseo-bunhaleul-cugahada/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-25T12:18:46.478018+00:00</news:publication_date><news:title>llama.cpp 0.3.0이 dots3-note 모델과 DeepSeek 4용 텐서 분할을 추가하다</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ko/article/20494-tonghab-gguf-mic-llama-cpp-pokeuga-nemotron-3-nano-omnie-odio-mic-bidio-jiweon/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-24T22:51:58.337001+00:00</news:publication_date><news:title>통합 GGUF 및 llama.cpp 포크가 Nemotron-3-Nano-Omni에 오디오 및 비디오 지원 가능</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/20494-un-gguf-unifie-et-un-fork-de-llama-cpp-permettent-l-audio-et-la-video-pour-3/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-24T22:51:58.337001+00:00</news:publication_date><news:title>Un GGUF unifié et un fork de llama.cpp permettent l'audio et la vidéo pour Nemotron-3-Nano-Omni</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ko/article/20493-zero-shot-nemotron-3-5-lightning-omni-gihahagjeog-maecingeul-tonghae-sigag-mic/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-24T22:29:24.729483+00:00</news:publication_date><news:title>Zero-shot Nemotron 3.5 Lightning Omni, 기하학적 매칭을 통해 시각 및 오디오 기능 추가</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/20493-zero-shot-nemotron-3-5-lightning-omni-ajoute-la-vision-et-l-audio-via-une/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-24T22:29:24.729483+00:00</news:publication_date><news:title>Zero-shot Nemotron 3.5 Lightning Omni ajoute la vision et l'audio via une correspondance géométrique</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ko/article/20498-llama-cpp-b10614e-metal-yeonsanbyeol-soseu-bunhal-mic-byeongryeol-keompail-cuga/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-24T22:06:15.290081+00:00</news:publication_date><news:title>llama.cpp b10614에 Metal 연산별 소스 분할 및 병렬 컴파일 추가</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/20498-llama-cpp-b10614-ajoute-la-division-des-sources-par-operation-metal-et-la/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-24T22:06:15.290081+00:00</news:publication_date><news:title>llama.cpp b10614 ajoute la division des sources par opération Metal et la compilation parallèle</news:title></news:news></url>
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<url><loc>https://korshunov.ai/zh-hans/article/20308-liang-hua-gan-zhi-xiu-fu-bi-qatgeng-kuai-di-hui-fu-4wei-llm/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-24T03:11:18.784639+00:00</news:publication_date><news:title>量化感知修复比QAT更快地恢复4位LLM</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/20308-quantization-aware-healing-recupera-llms-de-4-bits-mais-rapido-que-qat/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-24T03:11:18.784639+00:00</news:publication_date><news:title>Quantization-Aware Healing recupera LLMs de 4 bits mais rápido que QAT</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/20308-kvaanttiijeshn-aveyr-hiiling-qat-se-tejii-se-4-bitt-llms-ko-punrsthaapit-krtaa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-24T03:11:18.784639+00:00</news:publication_date><news:title>क्वांटीज़ेशन-अवेयर हीलिंग QAT से तेज़ी से 4-बिट LLMs को पुनर्स्थापित करता है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/20308-quantization-aware-healing-ha-qat-yorimosu-ku-4-hitsuto-llm-wohui-fu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-24T03:11:18.784639+00:00</news:publication_date><news:title>Quantization-Aware Healing は QAT よりも速く 4 ビット LLM を回復</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/20308-quantization-aware-healingi-qatboda-bbareuge-4biteu-llmeul-bogweon/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-24T03:11:18.784639+00:00</news:publication_date><news:title>Quantization-Aware Healing이 QAT보다 빠르게 4비트 LLM을 복원</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/20308-quantization-aware-healing-recupere-les-llm-4-bits-plus-rapidement-que-qat/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-24T03:11:18.784639+00:00</news:publication_date><news:title>Quantization-Aware Healing récupère les LLM 4 bits plus rapidement que QAT</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/20308-quantization-aware-healing-memulihkan-llm-4-bit-lebih-cepat-daripada-qat/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-24T03:11:18.784639+00:00</news:publication_date><news:title>Quantization-Aware Healing memulihkan LLM 4-bit lebih cepat daripada QAT</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/20308-quantization-aware-healing-yst-yd-nmdhj-llm-dht-4-bt-sr-mn-qat/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-24T03:11:18.784639+00:00</news:publication_date><news:title>Quantization-Aware Healing يستعيد نماذج LLM ذات 4 بت أسرع من QAT</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/20341-liang-hua-gan-zhi-xiu-fu-bi-qatgeng-kuai-di-hui-fu-4wei-llm/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-24T02:40:50.947206+00:00</news:publication_date><news:title>量化感知修复比QAT更快地恢复4位LLM</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/20341-quantization-aware-healing-recovers-4-bit-llms-faster-than-qat/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-24T02:40:50.947206+00:00</news:publication_date><news:title>Quantization-Aware Healing recovers 4-bit LLMs faster than QAT</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/20341-quantization-aware-healing-vosstanavlivaet-modeli-llm-na-4-bita-bystree-chem-qat/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-24T02:40:50.947206+00:00</news:publication_date><news:title>Quantization-Aware Healing восстанавливает модели LLM на 4 бита быстрее, чем QAT</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/20341-quantization-aware-healing-recupera-llms-de-4-bits-mas-rapido-que-qat/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-24T02:40:50.947206+00:00</news:publication_date><news:title>Quantization-Aware Healing recupera LLMs de 4 bits más rápido que QAT</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/20341-quantization-aware-healing-recupera-llms-de-4-bits-mais-rapido-que-qat/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-24T02:40:50.947206+00:00</news:publication_date><news:title>Quantization-Aware Healing recupera LLMs de 4 bits mais rápido que QAT</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/20341-kvaanttiijeshn-aveyr-hiiling-qat-se-tejii-se-4-bitt-llms-ko-punrsthaapit-krtaa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-24T02:40:50.947206+00:00</news:publication_date><news:title>क्वांटीज़ेशन-अवेयर हीलिंग QAT से तेज़ी से 4-बिट LLMs को पुनर्स्थापित करता है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/20341-quantization-aware-healinghaqatyorisu-ku4hitsutollmwohui-fu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-24T02:40:50.947206+00:00</news:publication_date><news:title>Quantization-Aware HealingはQATより速く4ビットLLMを回復</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/20341-yanghwa-insig-ciyuga-qatboda-bbareuge-4biteu-llmeul-bogweon/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-24T02:40:50.947206+00:00</news:publication_date><news:title>양화 인식 치유가 QAT보다 빠르게 4비트 LLM을 복원</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/20341-quantization-aware-healing-recupere-les-llms-4-bits-plus-rapidement-que-qat/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-24T02:40:50.947206+00:00</news:publication_date><news:title>Quantization-Aware Healing récupère les LLMs 4 bits plus rapidement que QAT</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/20341-quantization-aware-healing-memulihkan-llm-4-bit-lebih-cepat-dari-qat/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-24T02:40:50.947206+00:00</news:publication_date><news:title>Quantization-Aware Healing memulihkan LLM 4-bit lebih cepat dari QAT</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/20341-lshf-lw-y-llkmy-yst-yd-nmdhj-llm-dht-4-bt-sr-mn-qat/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-24T02:40:50.947206+00:00</news:publication_date><news:title>الشفاء الواعي للكمية يستعيد نماذج LLM ذات 4 بت أسرع من QAT</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ko/article/20256-anthropicyi-opus-4-8ga-model-jiculeseo-seondureul-cajihamyeo-jeoryeomhan-hwagdae/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-23T21:26:33.194204+00:00</news:publication_date><news:title>Anthropic의 Opus 4.8가 모델 지출에서 선두를 차지하며 저렴한 도구들이 점유율을 확대</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/20256-opus-4-8-ot-anthropic-lidiruet-po-raskhodam-na-modeli-poka-bolee-deshevye-doliu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-23T21:26:33.194204+00:00</news:publication_date><news:title>Opus 4.8 от Anthropic лидирует по расходам на модели, пока более дешёвые инструменты набирают долю</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/20256-el-opus-4-8-de-anthropic-lidera-el-gasto-en-modelos-mientras-herramientas-mas/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-23T21:26:33.194204+00:00</news:publication_date><news:title>El Opus 4.8 de Anthropic lidera el gasto en modelos mientras herramientas más económicas ganan cuota</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/20256-anthropicde-opus-4-8zai-mo-xing-zhi-chu-zhong-ling-xian-geng-bian-yi-de-gong-ju/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-23T21:26:33.194204+00:00</news:publication_date><news:title>Anthropic的Opus 4.8在模型支出中领先，更便宜的工具获得份额</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ja/article/20256-anthropicnoopus-4-8kamoteruzhi-chu-teshou-wei-an-jia-natsu-rukashieawokuo-da/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-23T21:26:33.194204+00:00</news:publication_date><news:title>AnthropicのOpus 4.8がモデル支出で首位、安価なツールがシェアを拡大</news:title></news:news></url>
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<url><loc>https://korshunov.ai/fr/article/20254-ipl-un-dsl-minimaliste-pour-la-generation-de-code-llm-deterministe/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-23T21:09:17.597422+00:00</news:publication_date><news:title>IPL : un DSL minimaliste pour la génération de code LLM déterministe</news:title></news:news></url>
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<url><loc>https://korshunov.ai/fr/article/20247-llama-cpp-b10598-utilise-un-algorithme-de-redimensionnement-pillow-accurate-et/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-23T18:42:00.862288+00:00</news:publication_date><news:title>llama.cpp b10598 utilise un algorithme de redimensionnement pillow-accurate et corrige resize_algo pour tous les modèles</news:title></news:news></url>
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</urlset>