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Локальные LLM в переводах текстов — бенчмарк на RTX 5060Ti 16GB VRAM
Захотелось мне тут проверить качество ИИ моделей в переводе. Я уже перевел немало книг и текстов с облачными моделями - Qwen, Claude, OpenAI, Gemini и результат в последнее время мне нравится все больше и больше. Я не думаю что переводчикам пора искать другую работу, но на сегодняшний день реальность такова что вы можете перевести любую книгу на любом языке на русский и как минимум понять про что она. Конечно же, остаются тонкости стилистики, нюансы языка и местных реалий жизни, которые очень важны при переводе сложной художественной литературы, тут нужен как раз тот “контекст жизни”, которого не хватает моделям. Однако последние версии Claude и OpenAI неплохо натаскались в переводе авторской стилистики. Если же вам надо читать не очень специфичный текст для посвященных, то скорее всего ИИ перевод вас удовлетворит. Конечно же тут тоже есть тонкости - проверки и промпты, но это уже дело техники, все это решаемо скиллами и бюджетом на токены. Однако облачные переводы не всегда доступны из-за бюджета и policy (и непонятно сколько еще будут доступны), поэтому я задался вопросом насколько я могу положиться на локальные модели, гоняющие на довольно скромной по нынешним меркам карте и машине: NVIDIA GeForce RTX 5060 Ti 16 GB, Core Ultra 7 265, 96 GB DDR5
Переводы проверялись для разных языков, все переводили на русский. Чтобы сделать бенчмарк более репрезентативным, я выбрал несколько языков для тестирования - английский, испанский, китайский и иврит. Большинство из них я знаю, так что могу оценить перевод глазами, хотя этого и не было нужно. Эталонный перевод сделал с Claude моделями, потом “модели-судьи” (Claude и OpenAI) судили каждый перевод, давая ему оценку. Измерялось как качество перевода, так и его скорость. Цели переводов:
Переводить интернет сайты по мере браузинга, что-то типа Google Translate для сайтов, но качественнее.
Локальный перевод книг. Хоть фронтирные модели объективно переводят книги лучше и быстрее, но некоторые уже начали капризничать из-за копирайта, боюсь что скоро эту лавочку прикроют. Хотелось бы иметь что-то постоянное и не зависящее от трендов. Хотя если цель - прогонять тексты через ИИ перевод и продавать на Амазон, то наверное лучше использовать облачные модели.
В итоге два главных критерия оценки — качество перевода и скорость, так как в браузере нужно переводить быстро, а качественный перевод книги можно и на ночь оставить.
Ну что же, давайте посмотрим что за тексты участвовали в соревновании. Я решил проверять перевод не только с разных языков, но и различного типа текстов.
На английском - колонка новостей с WSJ, медицинская статья с PubMed, техническая документация к ядру, технический тред на Reddit вместе с комментариями и даосское руководство по дыханию с вкраплениями на китайском. И как вишенку на торте - главу из “Поминки по Финнегану” Джеймса Джойса.
На испанском взял статью по экономике с интернет журнала, главу из книги современного автора, главу из детектива про наркокартели с северо-мексиканским и нарко-сленгом, и стихи Лорки.
Для китайского взял статью из китайского блога про то, какая великая и инклюзивная(!) китайская культура (кошко-жена одобряет), твиты из Weibo (или надо их называть “вейбиты”?), главу из современной книги (Ли Цзюань), техническое руководство. Для экстрима также добавил античный и средневековый трактат по китайской медицине и два текста по даосизму - тоже античный и средневековый.
На иврите - стандартный договор аренды квартиры, колонку из новостного сайта, техническое руководство по ядру, два срача из фейсбука с комментариями, тред на реддите, главу из современной книги Амоса Оза. Для экстрима - древний текст (Бен Сира, 200 г. до н.э.), отрывок из религиозной литературы (3 век н.э.) и отрывок из Каббалы (16 век, забегая наперед могу сказать что именно он оказался самым сложным для перевода и все локальные модели на нем повалились).
Так как набрался текст на разные уровни, поэтому и бенчмарк разделился на два - первый для современных текстов, новости, интернет, литература, и второй - всякие древние и просто странные тексты - для стресс тестирования.
Содержание
Модели в лаборатории
Теперь про модели. После того как посоветовались с OpenAI и Gemini, решили взять следующие модели для теста на моей карте.
Модель | Тип | Параметры | ток/с | Роль в лаборатории | Статус |
|---|---|---|---|---|---|
Qwen3.8 Flash-Next | Общего назначения | 125.7B + 51.2B таблица эмбеддингов / 7.3B активных | 21 / 15 | Лучшее качество в целом (пресеты regular, classical-he, черновик в literary-max) | финалист |
Gemma 4 31B | Общего назначения | 30.7B | 6 | Художественный перевод и редактор (пресет literary, а также проход редактуры в literary-max, classical, max) | финалист (и редактор) |
Gemma 4 26B-A4B | Общего назначения | 25.2B / 3.8B активных | 113 / 26 | Быстрый повседневный перевод (пресет regular-fast) | финалист |
Index 35B-A3B | Перевод | 35.5B / 3.5B активных | 68 / 31 | Черновик для классического китайского (пресеты classical, max) | финалист |
Index 9B | Перевод | 9.2B | 64 / 46 | Веб-страницы (пресет web) | финалист |
Index 2B | Перевод | 1.9B | 163 | Только для понимания сути, удалена | только для понимания сути (этап 0), удалена |
Hy-MT2 30B-A3B | Перевод | 30.1B / 3.5B активных | 68 / 22 | Отсеяна на отборе, удалена | отсеяна (этап 1, удалена) |
Hy-MT2 7B | Перевод | 7B | 49 | Отсеяна на отборе, удалена | отсеяна (этап 1, удалена) |
Hy-MT2 1.8B | Перевод | 1.8B | 169 | Только для понимания сути, удалена | только для понимания сути (этап 0), удалена |
TranslateGemma 27B | Перевод | 27.0B | 4 | Отсеяна на отборе, удалена | отсеяна (этап 1, удалена) |
TranslateGemma 12B | Перевод | 11.8B | 31 | Отсеяна на отборе, удалена | отсеяна (этап 1, удалена) |
Command A Translate | Перевод | 111B | 1 | Отсеяна на отборе, удалена | отсеяна (этап 1, удалена) |
Qwen3.8 27B | Общего назначения | 27.3B | 47 / 5 | Отсеяна на отборе; Q6_K удалён, IQ3_M оставлен | отсеяна (этап 1, Q6_K удалён) |
Qwen3.6 35B-A3B | Общего назначения | 34.7B / 3.5B активных | 57 / 31 | Отсеяна на настройке, удалена | отсеяна (этап 2, удалена) |
Qwen3.5 9B | Общего назначения | 9.0B | 71 | Прежняя контрольная модель | прежняя контрольная модель |
T-pro 2.1 | Общего назначения | 32.8B | 3 | Отсеяна на отборе, удалена | отсеяна (этап 1, удалена) |
Размер взят из файлов GGUF. Скорость — измеренная скорость генерации при переводе, в токенах в секунду, для каждого кванта (сначала самый быстрый). Для каждой модели - ее сильные и слабые стороны, происхождение, результаты и как запускалось с llama.cpp.
Qwen3.8-Flash-Next — финалистРоль в лаборатории: Лучшее качество в целом (пресеты regular, classical-he, черновик в literary-max)
Ссылки: Qwen/Qwen3.8-Flash-Next · unsloth/Qwen3.8-Flash-Next-GGUF (GGUF)
Сильные стороны. Лидер или в числе лидеров почти во всех категориях: английский 87.6, испанский 92, китайский 88, иврит 90, классический иврит 81 (на 8 баллов впереди следующей модели). На токен активны лишь 6B параметров, поэтому даже IQ4_XS на 94 ГБ выдаёт 14–16 ток/с из системной RAM.
Слабые стороны. Нужно около 80–95 ГБ RAM плюс GPU. Художественный текст без прохода редактуры — лишь средний. В режиме рассуждения на отложенных текстах на классическом китайском оставляла в выводе непереведённый китайский и английский текст.
Что сработало. IQ4_XS ради качества, IQ3_XXS (21 ток/с), когда важна скорость; оценки различаются в пределах шума. Инструкция на русском помогла на классических текстах (+5). Рассуждение помогло на классическом китайском при настройке (+7.8), но провалилось на отложенных текстах; на классическом иврите сработало (72.7). MTP-черновик от unsloth не загружается в этой сборке llama.cpp.
Оценки качества по наборам текстов (0–100) и скорость по квантам:
Набор / квант | Финал, лучшая настройка | ||
|---|---|---|---|
ГБ | 82.0 | 93.7 | – |
Размещение на 16 ГБ | 38 слоёв экспертов на CPU | 41 слой экспертов на CPU | – |
ток/с | 21 | 15 | – |
EN | 85 | 88 | 89 |
ES | 89 | 92 | 91 |
ZH | 88 | 88 | 85 |
HE | 89 | 90 | 89 |
ES худ. | 83 | 80 | 86 |
EN худ. | 76 | 72 | 68 |
文言文 | 78 | 79 | 66 |
HE худ. | 79 | 85 | 86 |
Класс. HE | 81 | 81 | 73 |
Веб | 85 | 88 | 84 |
Команды запуска (llama-server)
Жадное декодирование и выключенное рассуждение заданы прямо на сервере; размещение слоёв (-ngl, --n-cpu-moe, -t, -ub) подобрано под RTX 5060 Ti 16 ГБ.
Профиль iq4 — UD_IQ4_XS, контекст 16 384
llama.cpp/build/bin/llama-server -m /models/unsloth/Qwen3.8-Flash-Next-GGUF/UD-IQ4_XS/Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf --host 127.0.0.1 --port 8091 --alias fnx-UD_IQ4_XS -c 16384 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 --n-cpu-moe 41 -t 12 -ub 1024 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Профиль balanced — UD_IQ3_XXS, контекст 16 384
llama.cpp/build/bin/llama-server -m /models/unsloth/Qwen3.8-Flash-Next-GGUF/UD-IQ3_XXS/Qwen3.8-Flash-Next-UD-IQ3_XXS-00001-of-00003.gguf --host 127.0.0.1 --port 8091 --alias fnx-UD_IQ3_XXS -c 16384 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 --n-cpu-moe 38 -t 8 -ub 1024 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Профиль quality — UD_IQ4_XS, контекст 16 384
llama.cpp/build/bin/llama-server -m /models/unsloth/Qwen3.8-Flash-Next-GGUF/UD-IQ4_XS/Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf --host 127.0.0.1 --port 8091 --alias fnx-UD_IQ4_XS -c 16384 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 --n-cpu-moe 41 -t 12 -ub 1024 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Карточка модели и архитектура
GGUF: qwen4exp, 48 слоёв, 512 экспертов / 10 на токен, 176.9B весов, около 7.3B активных на токен (плюс послойная таблица эмбеддингов на 51.2B)
Разработчик: Qwen (Alibaba)
Дата выхода: Репозиторий на HF создан 2026-08-24; GGUF от unsloth — 2026-08-26.
Лицензия: Qwen Community License 1.0: разрешительная, но продукты с аудиторией более 100 млн MAU или выручкой более $20 млн в месяц обязаны указывать название модели, а бизнесу формата Model-as-a-Service или ИИ-ассистентов для работы нужна отдельная лицензия.
Параметры: 125B плюс 51B n-граммных эмбеддингов и 4B MTP (всего хранится около 180B). · активных 6B
Архитектура: MoE, 48 слоёв: 12 x (3 Gated DeltaNet + 1 Qwen Sparse Attention), 512 экспертов, активны 10 маршрутизируемых + 1 общий, гейтированные остаточные связи (4 ветви), n-граммный эмбеддинг на 20 млн записей.
Контекст: 262 144 нативно, расширяется до 1 000 000 токенов.
Базовая модель: Не указана.
Языки: В карточке не указаны.
Режим рассуждения: Включён по умолчанию; enable_thinking, preserve_thinking (по умолчанию включён), reasoning_effort xhigh/medium/low.
Изображения: Да (каузальная LM с визуальным энкодером; изображения/видео).
Промпт и сэмплинг из карточки: С рассуждением: temperature 1.0, top_p 0.95, top_k 20, presence_penalty 0; без рассуждения: temperature 0.7, top_p 0.8, top_k 20, presence_penalty 1.5.
Заявления о переводе в карточке: В карточке нет (только SWE-bench Multilingual 81.0).
Также стоит отметить: Экспериментальное превью архитектуры (разреженное внимание QSA, гейтированные остаточные связи, n-граммный эмбеддинг, Muon/AdamW); MTP из 1 слоя.
Роль в лаборатории: Переводчик художественных текстов и редактор (пресет literary, а также проход редактуры в literary-max, classical, max)
Ссылки: google/gemma-4-31B-it · unsloth/gemma-4-31B-it-GGUF (GGUF)
Сильные стороны. Пишет по-русски лучше всех моделей. Лучшая одиночная модель на художественном испанском и английском (85), в числе лидеров во всём остальном; как редактор поднимает слабые черновики на 5–14 баллов.
Слабые стороны. Здесь медленная: Q6_K требует держать половину слоёв в системной RAM, поэтому около 6–7 ток/с даже с MTP. С рассуждением на классических текстах тратит 12–21 мин на текст и однажды оставила в выводе транслитерированный иврит (Тосефта 30).
Что сработало. Официальный английский системный промпт со стилевой инструкцией для художественного текста, жадное декодирование. Все варианты (инструкция на русском −4, сэмплер для художественного текста −4, без стилевой инструкции −7, рассуждение −2) на художественном тексте оказались хуже. Рассуждение помогает на классическом китайском (+11 при настройке). MTP-черновик примерно вдвое ускоряет модель.
Оценки качества по наборам текстов (0–100) и скорость по квантам:
Набор / квант | Финал, лучшая настройка | |
|---|---|---|
ГБ | 25.2 | – |
Размещение на 16 ГБ | 33 из 60 слоёв на GPU | – |
ток/с | 6 | – |
EN | 85 | 87 |
ES | 87 | 84 |
ZH | 86 | 84 |
HE | 89 | 90 |
ES худ. | 85 | 84 |
EN худ. | 85 | 70 |
文言文 | 79 | 72 |
HE худ. | 82 | 74 |
Класс. HE | 74 | 60 |
Веб | 88 | 85 |
Команды запуска (llama-server)
Жадное декодирование и выключенное рассуждение заданы прямо на сервере; размещение слоёв (-ngl, --n-cpu-moe, -t, -ub) подобрано под RTX 5060 Ti 16 ГБ.
Профиль balanced — Q6_K, контекст 16 384
llama.cpp/build/bin/llama-server -m /models/unsloth/gemma-4-31B-it-GGUF/gemma-4-31B-it-Q6_K.gguf --host 127.0.0.1 --port 8091 --alias g31-Q6_K -c 16384 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 33 -t 8 --spec-type draft-mtp -md /models/unsloth/gemma-4-31B-it-GGUF/MTP/mtp-gemma-4-31B-it-Q8_0.gguf -ngld 99 --temp 0 --top-k 1Профиль quality — Q6_K, контекст 32 768
llama.cpp/build/bin/llama-server -m /models/unsloth/gemma-4-31B-it-GGUF/gemma-4-31B-it-Q6_K.gguf --host 127.0.0.1 --port 8091 --alias g31-Q6_K -c 32768 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 32 -t 8 --spec-type draft-mtp -md /models/unsloth/gemma-4-31B-it-GGUF/MTP/mtp-gemma-4-31B-it-Q8_0.gguf -ngld 99 --temp 0 --top-k 1Карточка модели и архитектура
GGUF: gemma4, 60 слоёв, 30.7B весов
Разработчик: Google DeepMind
Дата выхода: В карточке дата не указана; репозиторий на HF создан 2026-03-11.
Лицензия: Apache-2.0
Параметры: 30.7B (плюс визуальный энкодер ~550M).
Архитектура: Плотная, 60 слоёв, гибридное внимание: скользящее окно (1024) / глобальное, 32 головы Q, 16 голов KV в локальных / 4 в глобальных.
Контекст: 256K токенов.
Базовая модель: google/gemma-4-31B (предобученная).
Языки: Предобучена на 140+ языках, 35+ поддерживаются из коробки; русский, иврит и классический китайский не упомянуты.
Режим рассуждения: Да, включается через <|think|> в системном промпте.
Изображения: Да: текст и изображения (видео — покадрово); аудио нет.
Промпт и сэмплинг из карточки: temperature=1.0, top_p=0.95, top_k=64.
Заявления о переводе в карточке: Бенчмарков перевода в карточке нет; MMMLU 88.4%.
Также стоит отметить: Сильнейшая Gemma 4 в карточке (MMLU Pro 85.2%); в GGUF от unsloth поддержка MTP добавлена 2026-06-09, исправления шаблона чата — 2026-04-11.
Роль в лаборатории: Быстрый повседневный перевод (пресет regular-fast)
Ссылки: google/gemma-4-26B-A4B-it · unsloth/gemma-4-26B-A4B-it-GGUF (GGUF) · google/gemma-4-26B-A4B-it-qat-q4_0-gguf (GGUF)
Сильные стороны. QAT Q4_0 от Google целиком помещается на GPU с 16 ГБ, работает примерно на 115 ток/с и набирает 80–88 на обычном тексте и веб-страницах на всех языках. Лучшее соотношение скорости и качества в тесте. Q8 — хорошая черновая модель для прохода редактуры 31B на художественном тексте.
Слабые стороны. Разваливается на классических текстах (классический иврит 49, классический китайский 54 в версии QAT). Q8 (с выгрузкой на CPU, 27 ток/с) на отложенных обычных текстах оказалась не лучше QAT.
Что сработало. Официальный промпт, жадное декодирование. Рассуждение добавляет около 1.5 балла на обычном тексте, но занимает в 4–5× больше времени. Инструкция на русском помогла на художественном тексте (+3.5). Спекулятивное декодирование с MTP замедлило сборку QAT (0.85×).
Оценки качества по наборам текстов (0–100) и скорость по квантам:
Команды запуска (llama-server)
Жадное декодирование и выключенное рассуждение заданы прямо на сервере; размещение слоёв (-ngl, --n-cpu-moe, -t, -ub) подобрано под RTX 5060 Ti 16 ГБ.
Профиль fast — QAT_Q4_0, контекст 8 192
llama.cpp/build/bin/llama-server -m /models/google/gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf --host 127.0.0.1 --port 8091 --alias g26-QAT_Q4_0 -c 8192 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1Профиль balanced — QAT_Q4_0, контекст 16 384
llama.cpp/build/bin/llama-server -m /models/google/gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf --host 127.0.0.1 --port 8091 --alias g26-QAT_Q4_0 -c 16384 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1Профиль quality — Q8_0, контекст 32 768
llama.cpp/build/bin/llama-server -m /models/unsloth/gemma-4-26B-A4B-it-GGUF/gemma-4-26B-A4B-it-Q8_0.gguf --host 127.0.0.1 --port 8091 --alias g26-Q8_0 -c 32768 -np 1 -ctk f16 -ctv f16 -fa on --jinja --reasoning-format deepseek -ngl 999 --n-cpu-moe 16 -t 8 -ub 1024 --temp 0 --top-k 1Карточка модели и архитектура
GGUF: gemma4, 30 слоёв, 128 экспертов / 8 на токен, 25.2B весов, около 3.8B активных на токен
Разработчик: Google DeepMind
Дата выхода: В карточке дата не указана; репозиторий на HF создан 2026-03-11, GGUF от unsloth — 2026-04-01, официальный QAT GGUF — 2026-05-01.
Лицензия: Apache-2.0
Параметры: 25.2B (плюс визуальный энкодер ~550M). · активных 3.8B
Архитектура: MoE, 30 слоёв, 128 экспертов, активны 8 + 1 общий; гибридное внимание: локальное со скользящим окном (1024) и глобальное, последний слой глобальный, в глобальных слоях общие K=V и p-RoPE.
Контекст: 256K токенов.
Базовая модель: google/gemma-4-26B-A4B (предобученная).
Языки: Предобучена на 140+ языках, 35+ поддерживаются из коробки; русский, иврит и классический китайский не упомянуты.
Режим рассуждения: Да: включается токеном <|think|> в начале системного промпта (enable_thinking в transformers); когда выключен, модель всё равно выдаёт пустой блок рассуждения.
Изображения: Да: текст и изображения на входе (а также кадры видео); аудио у этого размера нет.
Промпт и сэмплинг из карточки: temperature=1.0, top_p=0.95, top_k=64 для всех сценариев; нативная системная роль.
Заявления о переводе в карточке: Бенчмарков перевода для этой модели в карточке нет; MMMLU 86.3%.
Также стоит отметить: Официальный QAT Q4_0 GGUF сохраняет качество почти на уровне bf16; Google также выпускает MTP-модели для черновиков (assistant), точность которых должна совпадать с QAT; в unsloth поддержку MTP добавили 2026-06-09.
Роль в лаборатории: Черновик для классического китайского (пресеты classical, max)
Ссылки: IndexTeam/Index-Translate-35B-A3B-preview · IndexTeam/Index-Translate-35B-A3B-preview-GGUF (GGUF) · mradermacher/Index-Translate-35B-A3B-preview-i1-GGUF (GGUF)
Сильные стороны. Самая сильная из специализированных моделей. Лучшая одиночная модель на классическом китайском (Q8 80.5), сильна на английском и испанском (87–90 в финале) и на прозе на иврите (90 на художественном тексте). Хорошая и быстрая черновая модель для прохода редактуры на 31B.
Слабые стороны. Слабое место — современный китайский (76–79). Классический иврит — 66. На фрагментах по 1000 токенов в одной ветке форума на иврите перевела только последний пост; фрагменты по 300 и 600 токенов это исправляют.
Что сработало. Официальный китайский промпт, жадное декодирование, рассуждение выключено. Q4 для скорости (70 ток/с при 11 слоях экспертов на CPU), Q8 для классических текстов. Инструкция на английском стоила 5 баллов на классическом китайском, а короткие фрагменты с контекстом заставляли модель повторяться (−13).
Оценки качества по наборам текстов (0–100) и скорость по квантам:
Команды запуска (llama-server)
Жадное декодирование и выключенное рассуждение заданы прямо на сервере; размещение слоёв (-ngl, --n-cpu-moe, -t, -ub) подобрано под RTX 5060 Ti 16 ГБ.
Профиль fast — i1_Q4_K_M, контекст 8 192
llama.cpp/build/bin/llama-server -m /models/mradermacher/Index-Translate-35B-A3B-preview-i1-GGUF/Index-Translate-35B-A3B-preview.i1-Q4_K_M.gguf --host 127.0.0.1 --port 8091 --alias idx35-i1_Q4_K_M -c 8192 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 --n-cpu-moe 13 -t 8 -ub 1024 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Профиль balanced — i1_Q4_K_M, контекст 16 384
llama.cpp/build/bin/llama-server -m /models/mradermacher/Index-Translate-35B-A3B-preview-i1-GGUF/Index-Translate-35B-A3B-preview.i1-Q4_K_M.gguf --host 127.0.0.1 --port 8091 --alias idx35-i1_Q4_K_M -c 16384 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 --n-cpu-moe 11 -t 8 -ub 512 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Профиль quality — Q8_0, контекст 32 768
llama.cpp/build/bin/llama-server -m /models/IndexTeam/Index-Translate-35B-A3B-preview-GGUF/Index-Translate-35B-A3B-preview.Q8_0.gguf --host 127.0.0.1 --port 8091 --alias idx35-Q8_0 -c 32768 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 --n-cpu-moe 25 -t 8 -ub 1024 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Профиль web — i1_Q4_K_M, контекст 32 768, 4 параллельных слота
llama.cpp/build/bin/llama-server -m /models/mradermacher/Index-Translate-35B-A3B-preview-i1-GGUF/Index-Translate-35B-A3B-preview.i1-Q4_K_M.gguf --host 127.0.0.1 --port 8091 --alias idx35-i1_Q4_K_M -c 32768 -np 4 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 --n-cpu-moe 12 -t 8 -ub 1024 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Карточка модели и архитектура
GGUF: qwen35moe, 41 слой, 256 экспертов / 8 на токен, 35.5B весов, около 3.5B активных на токен
Разработчик: IndexTeam (Index LLM Team, bilibili)
Дата выхода: Репозиторий на HF создан 2026-10-02; официальный GGUF опубликован 2026-10-03; кванты i1 от mradermacher — 2026-10-04.
Лицензия: Apache-2.0
Параметры: 35B (всего в safetensors 35.95B с учётом визуальной части). · активных 3B
Архитектура: Гибрид MoE на базе Qwen3.5: 40 слоёв, скрытый размер 2048, 256 экспертов (8 маршрутизируемых + общий эксперт), Gated DeltaNet с полным вниманием в каждом 4-м слое, головы 16 Q / 2 KV, 1 MTP-слой, визуальный энкодер.
Контекст: В конфиге max_position_embeddings 262 144; в примере для GGUF — -c 32768.
Базовая модель: Qwen3.5 (карточка сравнивает с Qwen3.5-35B-A3B как с похожей MoE).
Языки: 150 языков; русский, иврит и классический китайский в карточке не упомянуты.
Режим рассуждения: Отключён согласно официальным инструкциям; как функция не описан.
Изображения: Да, официальный mmproj (рекомендуется Q8_0, есть f16) для перевода изображений без OCR; mradermacher кладёт mmproj в свой статический репозиторий.
Промпт и сэмплинг из карточки: Китайский промпт для перевода или формат instTrans; жадное декодирование temperature=0, шаблон чата с enable_thinking=false (llama.cpp: --jinja --chat-template-kwargs '{"enable_thinking":false}' --temp 0).
Заявления о переводе в карточке: Наивысшие FLORES COMET-22 (0.8794) и instTrans IFscore (0.8336) среди всех систем, сравниваемых в отчёте; WMT26 Judge 76.76.
Также стоит отметить: Предварительный (preview) чекпойнт; веса интерполяции экспертов из отчёта для него не указаны; официальный Q4_K_M рекомендован и сверен с BF16 на A100.
Роль в лаборатории: Веб-страницы (пресет web)
Ссылки: IndexTeam/Index-Translate-9B · IndexTeam/Index-Translate-9B-GGUF (GGUF)
Сильные стороны. Быстрая и точная на повседневных текстах: 92 на испанских новостях, 81.5 на китайском, 85 на обычном тексте на этапе 2. Q5_K_M с 4 параллельными слотами помещается целиком на GPU — подходит для браузерного расширения.
Слабые стороны. Слаба на сленге и текстах с форумов (веб 65–70) и в передаче авторского голоса. Один раз зациклилась на ветке Weibo при фрагментах по 300 токенов.
Что сработало. Лучше всего — официальный промпт и жадное декодирование; инструкция на английском, сэмплер для художественного текста и фрагменты меньшего размера дали столько же или меньше. Для веб-страниц — фрагменты по 600 токенов.
Оценки качества по наборам текстов (0–100) и скорость по квантам:
Команды запуска (llama-server)
Жадное декодирование и выключенное рассуждение заданы прямо на сервере; размещение слоёв (-ngl, --n-cpu-moe, -t, -ub) подобрано под RTX 5060 Ti 16 ГБ.
Профиль fast — Q5_K_M, контекст 8 192
llama.cpp/build/bin/llama-server -m /models/IndexTeam/Index-Translate-9B-GGUF/Index-Translate-9B.Q5_K_M.gguf --host 127.0.0.1 --port 8091 --alias idx9-Q5_K_M -c 8192 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Профиль balanced — Q8_0, контекст 16 384
llama.cpp/build/bin/llama-server -m /models/IndexTeam/Index-Translate-9B-GGUF/Index-Translate-9B.Q8_0.gguf --host 127.0.0.1 --port 8091 --alias idx9-Q8_0 -c 16384 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Профиль quality — Q8_0, контекст 32 768
llama.cpp/build/bin/llama-server -m /models/IndexTeam/Index-Translate-9B-GGUF/Index-Translate-9B.Q8_0.gguf --host 127.0.0.1 --port 8091 --alias idx9-Q8_0 -c 32768 -np 1 -ctk f16 -ctv f16 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Профиль web — Q5_K_M, контекст 32 768, 4 параллельных слота
llama.cpp/build/bin/llama-server -m /models/IndexTeam/Index-Translate-9B-GGUF/Index-Translate-9B.Q5_K_M.gguf --host 127.0.0.1 --port 8091 --alias idx9-Q5_K_M -c 32768 -np 4 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Карточка модели и архитектура
GGUF: qwen35, 33 слоя, 9.2B весов
Разработчик: IndexTeam (Index LLM Team, bilibili)
Дата выхода: Репозиторий на HF создан 2026-09-28; технический отчёт датирован сентябрём 2026.
Лицензия: Apache-2.0
Параметры: 9B по карточке (всего в safetensors 9.65B с учётом визуального энкодера).
Архитектура: Плотный гибрид на базе Qwen3.5: 32 слоя, скрытый размер 4096, линейное внимание Gated DeltaNet с полным вниманием в каждом 4-м слое, головы 16 Q / 4 KV, 1 MTP-слой, визуальный энкодер.
Контекст: В конфиге max_position_embeddings 262 144; официальный пресет для запуска — 32 768.
Базовая модель: Qwen3.5 (карточка сравнивает с базовой Qwen3.5-9B).
Языки: 150 языков; русский, иврит и классический китайский в карточке не упомянуты.
Режим рассуждения: Отключён в официальном клиенте (enable_thinking=False); как функция не описан.
Изображения: Да, перевод изображений в текст через mmproj.
Промпт и сэмплинг из карточки: Как у 2B: китайский промпт для перевода или ограниченный формат instTrans, одно сообщение пользователя, жадное декодирование temperature=0, enable_thinking=False.
Заявления о переводе в карточке: FLORES COMET-22 0.8789, WMT24++ 0.8601, WMT26 Judge 75.35; лучший instTrans IFscore на малоресурсных языках 0.7725 и наименьшая доля ответов не на целевом языке 3.47% среди сравниваемых систем.
Также стоит отметить: Лидирует среди сравниваемых моделей на субтитрах MuST-Cinema по COMET-22 (0.8979); для запуска в BF16, по руководству на GitHub, нужно около 24 ГБ памяти GPU.
Роль в лаборатории: Только для понимания сути, удалена
Ссылки: IndexTeam/Index-Translate-2B · IndexTeam/Index-Translate-2B-GGUF (GGUF)
Сильные стороны. Мгновенный черновой перевод: 170 токенов/с и около 2.3 ГБ видеопамяти, плюс перевод изображений через визуальный проектор.
Слабые стороны. Иврит — 49, классический иврит — 21. Оставляет буквы иврита в русском тексте и искажает смысл. Не годится для текстов, которые нужно читать внимательно.
Что сработало. Официальный китайский промпт, жадное декодирование, рассуждение выключено.
Оценки качества по наборам текстов (0–100) и скорость по квантам:
Набор / квант | |
|---|---|
ГБ | 2.1 |
Размещение на 16 ГБ | целиком на GPU |
ток/с | 163 |
EN | – |
ES | – |
ZH | – |
HE | 49 |
ES худ. | – |
EN худ. | – |
文言文 | – |
HE худ. | 38 |
Класс. HE | 21 |
Веб | – |
Команды запуска (llama-server)
Жадное декодирование и выключенное рассуждение заданы прямо на сервере; размещение слоёв (-ngl, --n-cpu-moe, -t, -ub) подобрано под RTX 5060 Ti 16 ГБ.
Профиль fast — Q8_0, контекст 8 192
llama.cpp/build/bin/llama-server -m /models/IndexTeam/Index-Translate-2B-GGUF/Index-Translate-2B.Q8_0.gguf --host 127.0.0.1 --port 8091 --alias idx2-Q8_0 -c 8192 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Профиль balanced — Q8_0, контекст 16 384
llama.cpp/build/bin/llama-server -m /models/IndexTeam/Index-Translate-2B-GGUF/Index-Translate-2B.Q8_0.gguf --host 127.0.0.1 --port 8091 --alias idx2-Q8_0 -c 16384 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Профиль quality — Q8_0, контекст 32 768
llama.cpp/build/bin/llama-server -m /models/IndexTeam/Index-Translate-2B-GGUF/Index-Translate-2B.Q8_0.gguf --host 127.0.0.1 --port 8091 --alias idx2-Q8_0 -c 32768 -np 1 -ctk f16 -ctv f16 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Профиль web — Q8_0, контекст 32 768, 4 параллельных слота
llama.cpp/build/bin/llama-server -m /models/IndexTeam/Index-Translate-2B-GGUF/Index-Translate-2B.Q8_0.gguf --host 127.0.0.1 --port 8091 --alias idx2-Q8_0 -c 32768 -np 4 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Карточка модели и архитектура
GGUF: qwen35, 25 слоёв, 1.9B весов
Разработчик: IndexTeam (Index LLM Team, bilibili)
Дата выхода: Репозиторий на HF создан 2026-09-28; технический отчёт датирован сентябрём 2026 (официальный GGUF опубликован 2026-10).
Лицензия: Apache-2.0
Параметры: 2B по карточке (всего в safetensors 2.27B с учётом визуального энкодера).
Архитектура: Плотный гибрид на базе Qwen3.5 (Qwen3_5ForConditionalGeneration): 24 слоя, 3 слоя линейного внимания Gated-DeltaNet на 1 слой полного внимания, головы 8 Q / 2 KV, 1 MTP-слой, 24-слойный визуальный энкодер.
Контекст: В конфиге max_position_embeddings 262 144; официальный пресет для запуска — 32 768; в оценках использовалось 16 384.
Базовая модель: Qwen3.5 (карточка сравнивает с Qwen3.5-2B как с базовой моделью того же размера).
Языки: 150 языков (список только в техническом отчёте); русский, иврит и классический китайский в карточке не упомянуты.
Режим рассуждения: Официальный клиент его отключает (chat_template_kwargs enable_thinking=False) и вырезает любой выведенный блок think; использование рассуждения не описано.
Изображения: Да: сквозной перевод изображений в текст без OCR через mmproj (проектор Q8_0/f16 в репозитории GGUF).
Промпт и сэмплинг из карточки: Китайский промпт '请将以下{src}文本翻译为{tgt}，直接输出翻译结果，不要进行任何解释。\n\n{text}' или формат instTrans 【源文】/【约束要求】; одно сообщение пользователя, без системного; жадное декодирование temperature=0, max_tokens по умолчанию 1024.
Заявления о переводе в карточке: FLORES COMET-22 0.8655, WMT24++ 0.8489, WMT26 Judge 60.26; по карточке обходит Hy-MT2-1.8B по всем основным метрикам.
Также стоит отметить: Обучение: многоязычное промежуточное дообучение (mid-training) на 167.77B токенов, специализированные SFT/RL, интерполяция экспертов 0.8/0.1/0.1 плюс on-policy дистилляция от нескольких учителей; GGUF проверен против F16 по KL-дивергенции.
Роль в лаборатории: Отсеяна на отборе, удалена
Ссылки: tencent/Hy-MT2-30B-A3B · tencent/Hy-MT2-30B-A3B-GGUF (GGUF)
Сильные стороны. Неожиданно хороша на художественном тексте на иврите (88–89) и быстра в Q4 (75 токенов/с).
Слабые стороны. Во всём остальном уступает лидерам: английский 71, обычный иврит 67–71, классические тексты 52–56. Q8 оказался не лучше Q4.
Что сработало. Сэмплер из карточки: T 0.7, top_p 1.0. Q4_K_M помещается при 9 слоях экспертов на CPU.
Оценки качества по наборам текстов (0–100) и скорость по квантам:
Команды запуска (llama-server)
Жадное декодирование и выключенное рассуждение заданы прямо на сервере; размещение слоёв (-ngl, --n-cpu-moe, -t, -ub) подобрано под RTX 5060 Ti 16 ГБ.
Профиль fast — Q4_K_M, контекст 8 192
llama.cpp/build/bin/llama-server -m /models/tencent/Hy-MT2-30B-A3B-GGUF/Hy-MT2-30B-A3B-Q4_K_M.gguf --host 127.0.0.1 --port 8091 --alias hy30-Q4_K_M -c 8192 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 --n-cpu-moe 8 -t 8 --temp 0 --top-k 1Профиль balanced — Q4_K_M, контекст 16 384
llama.cpp/build/bin/llama-server -m /models/tencent/Hy-MT2-30B-A3B-GGUF/Hy-MT2-30B-A3B-Q4_K_M.gguf --host 127.0.0.1 --port 8091 --alias hy30-Q4_K_M -c 16384 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 --n-cpu-moe 9 -t 8 --temp 0 --top-k 1Профиль quality — Q8_0, контекст 32 768
llama.cpp/build/bin/llama-server -m /models/tencent/Hy-MT2-30B-A3B-GGUF/Hy-MT2-30B-A3B-Q8_0.gguf --host 127.0.0.1 --port 8091 --alias hy30-Q8_0 -c 32768 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 --n-cpu-moe 29 -t 8 -ub 1024 --temp 0 --top-k 1Профиль web — Q4_K_M, контекст 32 768, 4 параллельных слота
llama.cpp/build/bin/llama-server -m /models/tencent/Hy-MT2-30B-A3B-GGUF/Hy-MT2-30B-A3B-Q4_K_M.gguf --host 127.0.0.1 --port 8091 --alias hy30-Q4_K_M -c 32768 -np 4 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 --n-cpu-moe 12 -t 8 -ub 1024 --temp 0 --top-k 1Карточка модели и архитектура
GGUF: hy_v3, 48 слоёв, 128 экспертов / 8 на токен, 30.1B весов, около 3.5B активных на токен
Разработчик: Tencent Hunyuan (Tencent Hy)
Дата выхода: Новости в карточке: открыта 2026-05-21; репозиторий GGUF создан позже, 2026-07-23.
Лицензия: Apache-2.0
Параметры: 30B (всего в safetensors 30.06B). · активных 3B
Архитектура: MoE hy_v3 (HYV3ForCausalLM): 48 слоёв, скрытый размер 2048, 128 экспертов, 8 активных + 1 общий, первый слой плотный, сигмоидный роутер, головы 32 Q / 4 KV.
Контекст: В конфиге max_position_embeddings 262 144; рекомендуемый max_tokens 4096.
Базовая модель: Не указана.
Языки: В карточке заявлено 33 языка; в таблице 38 позиций, включая русский и иврит; классического китайского в списке нет.
Режим рассуждения: Карточка называет модель 'fast-thinking' и переключателя не описывает; шаблон чата принимает reasoning_effort high/low/no_think, по умолчанию no_think.
Изображения: Нет (только текст).
Промпт и сэмплинг из карточки: Системного промпта по умолчанию нет; те же шаблоны; temperature 0.7, top_p 1.0, top_k -1, repetition_penalty 1.0, max_tokens 4096.
Заявления о переводе в карточке: По карточке обходит DeepSeek-V4-Pro и Kimi K2.6 в режиме fast-thinking (результаты только картинкой).
Также стоит отметить: Архитектура отличается от плотных 1.8B/7B; есть вариант FP8.
Роль в лаборатории: Отсеяна на отборе, удалена
Ссылки: tencent/Hy-MT2-7B · tencent/Hy-MT2-7B-GGUF (GGUF)
Сильные стороны. Маленькая и быстрая (50 токенов/с целиком на GPU).
Слабые стороны. Везде в середине таблицы или ниже: английский 63, китайский 59, классический китайский 36. Index 9B того же размера лучше.
Что сработало. По карточке её GGUF рассчитан на собственное ядро llama.cpp от Tencent; мы запускали её на стандартном llama.cpp.
Оценки качества по наборам текстов (0–100) и скорость по квантам:
Набор / квант | |
|---|---|
ГБ | 8.0 |
Размещение на 16 ГБ | целиком на GPU |
ток/с | 49 |
EN | 63 |
ES | 76 |
ZH | 59 |
HE | – |
ES худ. | 69 |
EN худ. | 48 |
文言文 | 36 |
HE худ. | – |
Класс. HE | – |
Веб | – |
Команды запуска (llama-server)
Жадное декодирование и выключенное рассуждение заданы прямо на сервере; размещение слоёв (-ngl, --n-cpu-moe, -t, -ub) подобрано под RTX 5060 Ti 16 ГБ.
Профиль fast — Q8_0, контекст 8 192
llama.cpp/build/bin/llama-server -m /models/tencent/Hy-MT2-7B-GGUF/HY-MT2-7B-Q8_0.gguf --host 127.0.0.1 --port 8091 --alias hy7-Q8_0 -c 8192 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1Профиль balanced — Q8_0, контекст 16 384
llama.cpp/build/bin/llama-server -m /models/tencent/Hy-MT2-7B-GGUF/HY-MT2-7B-Q8_0.gguf --host 127.0.0.1 --port 8091 --alias hy7-Q8_0 -c 16384 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1Профиль quality — Q8_0, контекст 32 768
llama.cpp/build/bin/llama-server -m /models/tencent/Hy-MT2-7B-GGUF/HY-MT2-7B-Q8_0.gguf --host 127.0.0.1 --port 8091 --alias hy7-Q8_0 -c 32768 -np 1 -ctk f16 -ctv f16 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1Профиль web — Q8_0, контекст 32 768, 4 параллельных слота
llama.cpp/build/bin/llama-server -m /models/tencent/Hy-MT2-7B-GGUF/HY-MT2-7B-Q8_0.gguf --host 127.0.0.1 --port 8091 --alias hy7-Q8_0 -c 32768 -np 4 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1Карточка модели и архитектура
Файла на диске больше нет, поэтому заголовок GGUF не прочитан.
Разработчик: Tencent Hunyuan (Tencent Hy)
Дата выхода: Новости в карточке: открыта 2026-05-21 (репозиторий на HF создан 2026-05-11).
Лицензия: Apache-2.0
Параметры: 7B (всего в safetensors 8.03B).
Архитектура: Плотная HunYuanDenseV1: 32 слоя, скрытый размер 4096, головы 32 Q / 8 KV (GQA), QK-norm.
Контекст: В конфиге max_position_embeddings 262 144; рекомендуемый max_tokens 4096.
Базовая модель: Не указана.
Языки: В карточке заявлено 33 языка; в таблице 38 позиций, включая русский и иврит; классического китайского в списке нет.
Режим рассуждения: Модель 'fast-thinking'; переключатель рассуждения не описан.
Изображения: Нет (только текст).
Промпт и сэмплинг из карточки: Системного промпта по умолчанию нет; те же шаблоны промптов, что у 1.8B; temperature 0.7, top_p 0.6, top_k 20, repetition_penalty 1.05, max_tokens 4096.
Заявления о переводе в карточке: По карточке 7B и 30B-A3B превосходят DeepSeek-V4-Pro и Kimi K2.6 в режиме fast-thinking (результаты картинкой плюс arXiv 2605.22064).
Также стоит отметить: По карточке этот GGUF зависит от ядра STQ от Tencent (llama.cpp PR #22836); есть вариант FP8.
Роль в лаборатории: Только для понимания сути, удалена
Ссылки: tencent/Hy-MT2-1.8B · tencent/Hy-MT2-1.8B-GGUF (GGUF)
Сильные стороны. Самая быстрая из протестированных моделей (179 токенов/с), иврит и русский есть в её списке языков.
Слабые стороны. Самые низкие баллы по ивриту в тесте (36, классический — 25). Смысловые ошибки почти в каждом предложении.
Что сработало. Без системного промпта; сэмплер из карточки (T 0.7, top_p 0.6, top_k 20, repetition 1.05).
Оценки качества по наборам текстов (0–100) и скорость по квантам:
Набор / квант | |
|---|---|
ГБ | 1.9 |
Размещение на 16 ГБ | целиком на GPU |
ток/с | 169 |
EN | – |
ES | – |
ZH | – |
HE | 36 |
ES худ. | – |
EN худ. | – |
文言文 | – |
HE худ. | 36 |
Класс. HE | 25 |
Веб | – |
Команды запуска (llama-server)
Жадное декодирование и выключенное рассуждение заданы прямо на сервере; размещение слоёв (-ngl, --n-cpu-moe, -t, -ub) подобрано под RTX 5060 Ti 16 ГБ.
Профиль fast — Q8_0, контекст 8 192
llama.cpp/build/bin/llama-server -m /models/tencent/Hy-MT2-1.8B-GGUF/Hy-MT2-1.8B-Q8_0.gguf --host 127.0.0.1 --port 8091 --alias hy18-Q8_0 -c 8192 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1Профиль balanced — Q8_0, контекст 16 384
llama.cpp/build/bin/llama-server -m /models/tencent/Hy-MT2-1.8B-GGUF/Hy-MT2-1.8B-Q8_0.gguf --host 127.0.0.1 --port 8091 --alias hy18-Q8_0 -c 16384 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1Профиль quality — Q8_0, контекст 32 768
llama.cpp/build/bin/llama-server -m /models/tencent/Hy-MT2-1.8B-GGUF/Hy-MT2-1.8B-Q8_0.gguf --host 127.0.0.1 --port 8091 --alias hy18-Q8_0 -c 32768 -np 1 -ctk f16 -ctv f16 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1Профиль web — Q8_0, контекст 32 768, 4 параллельных слота
llama.cpp/build/bin/llama-server -m /models/tencent/Hy-MT2-1.8B-GGUF/Hy-MT2-1.8B-Q8_0.gguf --host 127.0.0.1 --port 8091 --alias hy18-Q8_0 -c 32768 -np 4 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1Карточка модели и архитектура
GGUF: hunyuan-dense, 32 слоя, 1.8B весов
Разработчик: Tencent Hunyuan (Tencent Hy)
Дата выхода: Новости в карточке: открыта 2026-05-21 (репозиторий на HF создан 2026-05-11, GGUF — 2026-05-20).
Лицензия: Apache-2.0
Параметры: 1.8B (всего в safetensors 2.04B).
Архитектура: Плотная HunYuanDenseV1: 32 слоя, скрытый размер 2048, головы 16 Q / 4 KV (GQA), QK-norm, динамическое масштабирование RoPE.
Контекст: В конфиге max_position_embeddings 262 144; рекомендуемый max_tokens на вывод 4096.
Базовая модель: Не указана.
Языки: В карточке заявлено 33 языка, но в её таблице 38 позиций, включая русский, иврит, украинский, традиционный китайский, кантонский, тибетский, уйгурский; классического китайского в списке нет.
Режим рассуждения: Описаны как модели перевода 'fast-thinking'; переключатель рассуждения не описан.
Изображения: Нет (только текст).
Промпт и сэмплинг из карточки: Системного промпта по умолчанию нет; 'Translate the following text into {target_lang}. Note that you should only output the translated result without any additional explanation:\n\n{text}' (есть и китайский вариант); temperature 0.7, top_p 0.6, top_k 20, repetition_penalty 1.05, max_tokens 4096.
Заявления о переводе в карточке: По карточке 1.8B в целом превосходит популярные коммерческие API, например Microsoft и Doubao; результаты только картинкой плюс arXiv 2605.22064.
Также стоит отметить: Квант AngelSlim 1.25 бита сжимает её до 440 МБ (отдельные репозитории GGUF 2bit/1.25bit); шаблоны для терминологии, стиля, персонализации, разделителей, структурированных данных; выпущен IFMTBench.
Роль в лаборатории: Отсеяна на отборе, удалена
Ссылки: google/translategemma-27b-it · mradermacher/translategemma-27b-it-GGUF (GGUF)
Сильные стороны. Лучше 12B на иврите (77) и художественном испанском (75).
Слабые стороны. Классический китайский 42.5, Finnegans Wake 52. При 4 токенах/с и половине слоёв на CPU слишком медленная для такого результата.
Что сработало. Тот же структурированный шаблон, что у 12B; жадное декодирование.
Оценки качества по наборам текстов (0–100) и скорость по квантам:
Набор / квант | |
|---|---|
ГБ | 22.2 |
Размещение на 16 ГБ | 42 из 62 слоёв на GPU |
ток/с | 4 |
EN | – |
ES | – |
ZH | – |
HE | 77 |
ES худ. | 75 |
EN худ. | 52 |
文言文 | 42 |
HE худ. | 78 |
Класс. HE | 58 |
Веб | – |
Команды запуска (llama-server)
Жадное декодирование и выключенное рассуждение заданы прямо на сервере; размещение слоёв (-ngl, --n-cpu-moe, -t, -ub) подобрано под RTX 5060 Ti 16 ГБ.
Профиль balanced — Q6_K, контекст 16 384
llama.cpp/build/bin/llama-server -m /models/mradermacher/translategemma-27b-it-GGUF/translategemma-27b-it.Q6_K.gguf --host 127.0.0.1 --port 8091 --alias tg27-Q6_K -c 16384 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 42 -t 8 --temp 0 --top-k 1Профиль quality — Q6_K, контекст 16 384
llama.cpp/build/bin/llama-server -m /models/mradermacher/translategemma-27b-it-GGUF/translategemma-27b-it.Q6_K.gguf --host 127.0.0.1 --port 8091 --alias tg27-Q6_K -c 16384 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 42 -t 8 --temp 0 --top-k 1Карточка модели и архитектура
GGUF: gemma3, 62 слоя, 27.0B весов
Разработчик: Google (исследовательская команда Google Translate / Google DeepMind)
Дата выхода: Репозиторий на HF создан 2026-01-12; технический отчёт arXiv 2601.09012 (январь 2026).
Лицензия: Лицензия Gemma, доступ по запросу.
Параметры: 27B (всего в safetensors 28.84B с учётом визуальной части).
Архитектура: Плотная Gemma 3 со входом для изображений; число слоёв не прочитать (конфиг закрыт).
Контекст: Общий входной контекст 2K токенов.
Базовая модель: Дообучена из чекпойнтов Gemma 3.
Языки: 55 языков; в карте языков шаблона есть русский и иврит; классический китайский не упомянут.
Режим рассуждения: Не указан.
Изображения: Да (изображения 896x896, по 256 токенов каждое).
Промпт и сэмплинг из карточки: Тот же структурированный шаблон чата, что у 12B (source_lang_code/target_lang_code); в примерах жадное декодирование.
Заявления о переводе в карточке: WMT24++ (55 языков) MetricX 3.09 / COMET 84.4; WMT25 MQM 5.86; Vistra MetricX 1.57 (лучший результат в семействе).
Также стоит отметить: Карточка совпадает с карточкой 12B, кроме id модели.
Роль в лаборатории: Отсеяна на отборе, удалена
Ссылки: google/translategemma-12b-it · mradermacher/translategemma-12b-it-GGUF (GGUF)
Сильные стороны. Хороша на испанских новостях (88) и служит независимым эталоном машинного перевода от Google.
Слабые стороны. Проваливается на классических текстах (классический китайский 37, классический иврит 48) и слаба на китайском (68). Карточка ограничивает вход 2K токенов.
Что сработало. Нужен собственный структурированный шаблон чата с кодами исходного и целевого языков; лаборатория собирает его в prompts.py.
Оценки качества по наборам текстов (0–100) и скорость по квантам:
Набор / квант | |
|---|---|
ГБ | 12.5 |
Размещение на 16 ГБ | целиком на GPU |
ток/с | 31 |
EN | 74 |
ES | 88 |
ZH | 68 |
HE | 80 |
ES худ. | 63 |
EN худ. | 51 |
文言文 | 37 |
HE худ. | 70 |
Класс. HE | 48 |
Веб | 68 |
Команды запуска (llama-server)
Жадное декодирование и выключенное рассуждение заданы прямо на сервере; размещение слоёв (-ngl, --n-cpu-moe, -t, -ub) подобрано под RTX 5060 Ti 16 ГБ.
Профиль fast — Q8_0, контекст 8 192
llama.cpp/build/bin/llama-server -m /models/mradermacher/translategemma-12b-it-GGUF/translategemma-12b-it.Q8_0.gguf --host 127.0.0.1 --port 8091 --alias tg12-Q8_0 -c 8192 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1Профиль balanced — Q8_0, контекст 16 384
llama.cpp/build/bin/llama-server -m /models/mradermacher/translategemma-12b-it-GGUF/translategemma-12b-it.Q8_0.gguf --host 127.0.0.1 --port 8091 --alias tg12-Q8_0 -c 16384 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1Профиль quality — Q8_0, контекст 16 384
llama.cpp/build/bin/llama-server -m /models/mradermacher/translategemma-12b-it-GGUF/translategemma-12b-it.Q8_0.gguf --host 127.0.0.1 --port 8091 --alias tg12-Q8_0 -c 16384 -np 1 -ctk f16 -ctv f16 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1Карточка модели и архитектура
GGUF: gemma3, 48 слоёв, 11.8B весов
Разработчик: Google (исследовательская команда Google Translate / Google DeepMind)
Дата выхода: Репозиторий на HF создан 2026-01-12; технический отчёт arXiv 2601.09012 (январь 2026).
Лицензия: Лицензия Gemma, доступ по запросу (нужно принять условия Google).
Параметры: 12B (всего в safetensors 13.19B с учётом визуальной части).
Архитектура: Плотная Gemma 3 (архитектура в GGUF — gemma3) со входом для изображений; число слоёв не прочитать (конфиг закрыт).
Контекст: Общий входной контекст 2K токенов.
Базовая модель: Дообучена из чекпойнтов Gemma 3 (SFT на 4.3B токенов, RL на 10.2M токенов).
Языки: 55 языков (в карточке не перечислены); в карте языков шаблона чата есть русский и иврит; классический китайский не упомянут.
Режим рассуждения: Не указан.
Изображения: Да: изображения 896x896, по 256 токенов каждое, для перевода текста на изображениях (mmproj в репозитории GGUF).
Промпт и сэмплинг из карточки: Использовать шаблон чата: один элемент содержимого пользователя с типом text/image плюс source_lang_code и target_lang_code (ISO 639-1, регион по желанию); только роли User/Assistant; в примерах жадное декодирование (do_sample=False).
Заявления о переводе в карточке: WMT24++ (55 языков) MetricX 3.60 / COMET 83.5; WMT25 MQM 7.94; Vistra (изображения) MetricX 2.08.
Также стоит отметить: В обучающих данных есть переводы, сгенерированные Gemini; по карточке обходит открытые модели сопоставимого размера.
Роль в лаборатории: Отсеяна на отборе, удалена
Ссылки: CohereLabs/command-a-translate-08-2025 · DevQuasar/CohereLabs.command-a-translate-08-2025-GGUF (GGUF)
Сильные стороны. Модель перевода Cohere на 111B; русский и иврит входят в её 23 языка.
Слабые стороны. Здесь 0.7 токена/с (67 ГБ, в основном в системной RAM), и лучше она не оказалась: художественный испанский 68, классический китайский 50. Выводила свой токен конца хода как текст. Некоммерческая лицензия.
Что сработало. Промпт 'Translate everything that follows into Russian:'; temperature 0.3 по карточке.
Оценки качества по наборам текстов (0–100) и скорость по квантам:
Набор / квант | |
|---|---|
ГБ | 67.1 |
Размещение на 16 ГБ | 13 из ? слоёв на GPU |
ток/с | 1 |
EN | – |
ES | – |
ZH | – |
HE | – |
ES худ. | 68 |
EN худ. | 60 |
文言文 | 50 |
HE худ. | – |
Класс. HE | – |
Веб | – |
Команды запуска (llama-server)
Жадное декодирование и выключенное рассуждение заданы прямо на сервере; размещение слоёв (-ngl, --n-cpu-moe, -t, -ub) подобрано под RTX 5060 Ti 16 ГБ.
Профиль quality — Q4_K_M, контекст 16 384
llama.cpp/build/bin/llama-server -m /models/DevQuasar/CohereLabs.command-a-translate-08-2025-GGUF/CohereLabs.command-a-translate-08-2025.Q4_K_M-00001-of-00005.gguf --host 127.0.0.1 --port 8091 --alias cat-Q4_K_M -c 16384 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 13 -t 8 -ub 512 --temp 0 --top-k 1Карточка модели и архитектура
Файла на диске больше нет, поэтому заголовок GGUF не прочитан.
Разработчик: Cohere и Cohere Labs
Дата выхода: Репозиторий на HF создан 2025-08-27 (08-2025); статья на WMT 2025 (ноябрь 2025).
Лицензия: CC-BY-NC-4.0 плюс Cohere Labs Acceptable Use Policy (некоммерческая); доступ по запросу.
Параметры: 111B
Архитектура: Плотный трансформер; 3 слоя со скользящим окном (окно 4096, RoPE), затем 1 слой глобального внимания без позиционных эмбеддингов; SFT плюс обучение на предпочтениях.
Контекст: 8K на вход плюс 8K на выход.
Базовая модель: CohereLabs/c4ai-command-a-03-2025 (дерево моделей на HF).
Языки: 23 языка, включая русский и иврит (английский, французский, испанский, итальянский, немецкий, португальский, японский, корейский, арабский, китайский, русский, польский, турецкий, вьетнамский, нидерландский, чешский, индонезийский, украинский, румынский, греческий, хинди, иврит, персидский); классический китайский не упомянут.
Режим рассуждения: Не указан.
Изображения: Нет (только текст).
Промпт и сэмплинг из карточки: Сообщение пользователя 'Translate everything that follows into {Language}:\n\n {text}'; в примере do_sample=True, temperature 0.3, max_new_tokens 4096.
Заявления о переводе в карточке: Карточка заявляет передовое (state-of-the-art) качество перевода; цифры только в блоге и в статье WMT25.
Также стоит отметить: Некоммерческая лицензия; GGUF от DevQuasar — неофициальный квант (проверен на wikitext-2).
Роль в лаборатории: Отсеяна на отборе; Q6_K удалена, IQ3_M оставлена
Ссылки: Qwen/Qwen3.8-27B · unsloth/Qwen3.8-27B-GGUF (GGUF) · bartowski/Qwen3.8-27B-GGUF (GGUF)
Сильные стороны. Сильна на испанском (89–91) и уверенно держится на обычном тексте; IQ3_M помещается на GPU, а с MTP разгоняется примерно до 40–45 ток/с.
Слабые стороны. Q6 проигрывает Gemma 4 31B при близкой скорости, IQ3 проигрывает Gemma 4 26B. Сборка IQ3 в режиме рассуждения на классическом китайском бесконечно зацикливалась, пока в лабораторию не добавили защиту от зацикливания.
Что сработало. Оставлена как возможный редактор; Gemma 4 31B справилась с этим лучше.
Оценки качества по наборам текстов (0–100) и скорость по квантам:
Команды запуска (llama-server)
Жадное декодирование и выключенное рассуждение заданы прямо на сервере; размещение слоёв (-ngl, --n-cpu-moe, -t, -ub) подобрано под RTX 5060 Ti 16 ГБ.
Профиль fast — IQ3_M, контекст 8 192
llama.cpp/build/bin/llama-server -m /models/Qwen3.8-27B-IQ3_M.gguf --host 127.0.0.1 --port 8091 --alias q38-IQ3_M -c 8192 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --spec-type draft-mtp -md /models/unsloth/Qwen3.8-27B-GGUF/MTP/mtp-Qwen3.8-27B-Q4_0.gguf -ngld 99 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Профиль balanced — IQ3_M, контекст 16 384
llama.cpp/build/bin/llama-server -m /models/Qwen3.8-27B-IQ3_M.gguf --host 127.0.0.1 --port 8091 --alias q38-IQ3_M -c 16384 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --spec-type draft-mtp -md /models/unsloth/Qwen3.8-27B-GGUF/MTP/mtp-Qwen3.8-27B-Q4_0.gguf -ngld 99 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Профиль quality — UD_Q6_K, контекст 32 768
llama.cpp/build/bin/llama-server -m /models/unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q6_K.gguf --host 127.0.0.1 --port 8091 --alias q38-UD_Q6_K -c 32768 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 46 -t 8 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Карточка модели и архитектура
GGUF: qwen35, 65 слоёв, 27.3B весов
Разработчик: Qwen (Alibaba)
Дата выхода: Репозиторий на HF создан 2026-08-05.
Лицензия: Apache-2.0
Параметры: 27B (в safetensors 27.78B).
Архитектура: Плотная гибридная, 64 слоя: 16 x (3 Gated DeltaNet + 1 Gated Attention), 24 головы Q / 4 KV, FFN 17 408; обучена с MTP.
Контекст: 262 144 нативно, расширяется до 1 000 000 токенов.
Базовая модель: Не указана (сказано, что построена на архитектуре Qwen3.5).
Языки: В карточке не указаны.
Режим рассуждения: Включён по умолчанию, можно отключить для отдельного запроса; reasoning_effort xhigh (по умолчанию)/medium/low; preserve_thinking по умолчанию включён.
Изображения: Да, нативное понимание изображений и видео.
Промпт и сэмплинг из карточки: С рассуждением: temperature 1.0, top_p 0.95, top_k 20, presence_penalty 0; без рассуждения: temperature 0.7, top_p 0.8, top_k 20, presence_penalty 1.5.
Заявления о переводе в карточке: В карточке нет.
Также стоит отметить: Кванты от bartowski включают слои MTP для спекулятивного декодирования в llama.cpp (--spec-type draft-mtp).
Роль в лаборатории: Отсеяна на настройке, удалена
Ссылки: Qwen/Qwen3.6-35B-A3B · unsloth/Qwen3.6-35B-A3B-GGUF (GGUF)
Сильные стороны. Неплохо справляется с обычным текстом (75–86) и быстра в Q4 (56 ток/с).
Слабые стороны. На классическом китайском застряла на 55–71, что бы ни пробовали, а на художественном испанском однажды повторила исходник вместо перевода (50).
Что сработало. Рассуждение дало лишь +1 на классическом китайском. Отсеяна после этапа 2.
Оценки качества по наборам текстов (0–100) и скорость по квантам:
Набор / квант | ||
|---|---|---|
ГБ | 22.4 | 36.9 |
Размещение на 16 ГБ | 13 слоёв экспертов на CPU | 25 слоёв экспертов на CPU |
ток/с | 57 | 31 |
EN | 75 | 76 |
ES | 86 | 83 |
ZH | 79 | 76 |
HE | 84 | 80 |
ES худ. | 50 | 73 |
EN худ. | 55 | 57 |
文言文 | 70 | 71 |
HE худ. | 69 | 71 |
Класс. HE | 72 | 68 |
Веб | 75 | 72 |
Команды запуска (llama-server)
Жадное декодирование и выключенное рассуждение заданы прямо на сервере; размещение слоёв (-ngl, --n-cpu-moe, -t, -ub) подобрано под RTX 5060 Ti 16 ГБ.
Профиль fast — UD_Q4_K_XL, контекст 8 192
llama.cpp/build/bin/llama-server -m /models/unsloth/Qwen3.6-35B-A3B-GGUF/Qwen3.6-35B-A3B-UD-Q4_K_XL.gguf --host 127.0.0.1 --port 8091 --alias q36-UD_Q4_K_XL -c 8192 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 --n-cpu-moe 13 -t 8 -ub 512 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Профиль balanced — UD_Q4_K_XL, контекст 16 384
llama.cpp/build/bin/llama-server -m /models/unsloth/Qwen3.6-35B-A3B-GGUF/Qwen3.6-35B-A3B-UD-Q4_K_XL.gguf --host 127.0.0.1 --port 8091 --alias q36-UD_Q4_K_XL -c 16384 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 --n-cpu-moe 13 -t 8 -ub 512 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Профиль quality — Q8_0, контекст 32 768
llama.cpp/build/bin/llama-server -m /models/unsloth/Qwen3.6-35B-A3B-GGUF/Qwen3.6-35B-A3B-Q8_0.gguf --host 127.0.0.1 --port 8091 --alias q36-Q8_0 -c 32768 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 --n-cpu-moe 25 -t 8 -ub 1024 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Карточка модели и архитектура
GGUF: qwen35moe, 40 слоёв, 256 экспертов / 8 на токен, 34.7B весов, около 3.5B активных на токен
Разработчик: Qwen (Alibaba)
Дата выхода: Репозиторий на HF создан 2026-04-15; первая модель Qwen3.6 с открытыми весами.
Лицензия: Apache-2.0
Параметры: 35B (в safetensors 35.95B вместе с визуальной частью). · активных 3B
Архитектура: Гибридная MoE, 40 слоёв: 10 x (3 Gated DeltaNet + 1 Gated Attention), 256 экспертов, активны 8 маршрутизируемых + 1 общий; 16 голов Q / 2 KV; обучена с MTP.
Контекст: 262 144 нативно, расширяется до 1 010 000 токенов.
Базовая модель: Не указана.
Языки: В карточке не указаны.
Режим рассуждения: Рассуждение по умолчанию; переключатель enable_thinking; новый preserve_thinking сохраняет рассуждения из предыдущих ходов.
Изображения: Да (изображения/видео).
Промпт и сэмплинг из карточки: Без рассуждения: temperature 0.7, top_p 0.8, top_k 20, presence_penalty 1.5; с рассуждением: temperature 1.0, top_p 0.95, top_k 20, presence_penalty 1.5.
Заявления о переводе в карточке: В карточке нет (только SWE-bench Multilingual 67.2).
Также стоит отметить: MTP для спекулятивного декодирования.
Роль в лаборатории: Прежняя контрольная модель
Ссылки: Qwen/Qwen3.5-9B · lmstudio-community/Qwen3.5-9B-GGUF (GGUF)
Сильные стороны. Уже была на диске (LM Studio), поэтому служит дешёвой точкой отсчёта для старых моделей общего назначения.
Слабые стороны. Иврит 67, классический иврит 51. Уступает Index 9B — модели той же архитектуры, дообученной для перевода.
Что сработало. Без рассуждения, жадное декодирование.
Оценки качества по наборам текстов (0–100) и скорость по квантам:
Набор / квант | |
|---|---|
ГБ | 5.6 |
Размещение на 16 ГБ | целиком на GPU |
ток/с | 71 |
EN | – |
ES | – |
ZH | – |
HE | 67 |
ES худ. | – |
EN худ. | – |
文言文 | – |
HE худ. | 62 |
Класс. HE | 51 |
Веб | – |
Команды запуска (llama-server)
Жадное декодирование и выключенное рассуждение заданы прямо на сервере; размещение слоёв (-ngl, --n-cpu-moe, -t, -ub) подобрано под RTX 5060 Ti 16 ГБ.
Профиль fast — Q4_K_M, контекст 8 192
llama.cpp/build/bin/llama-server -m /models/lmstudio-community/Qwen3.5-9B-GGUF/Qwen3.5-9B-Q4_K_M.gguf --host 127.0.0.1 --port 8091 --alias q35-Q4_K_M -c 8192 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Профиль balanced — Q4_K_M, контекст 16 384
llama.cpp/build/bin/llama-server -m /models/lmstudio-community/Qwen3.5-9B-GGUF/Qwen3.5-9B-Q4_K_M.gguf --host 127.0.0.1 --port 8091 --alias q35-Q4_K_M -c 16384 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 999 -t 8 -ub 1024 --temp 0 --top-k 1 --chat-template-kwargs '{"enable_thinking":false}'Карточка модели и архитектура
GGUF: qwen35, 32 слоя, 9.0B весов
Разработчик: Qwen (Alibaba)
Дата выхода: Репозиторий на HF создан 2026-02-27 (карточка Qwen3.6 ссылается на «февральский релиз серии Qwen3.5»).
Лицензия: Apache-2.0
Параметры: Языковая модель на 9B (всего в safetensors 9.65B вместе с визуальной частью).
Архитектура: Плотная гибридная, 32 слоя: 8 x (3 Gated DeltaNet + 1 Gated Attention), за каждым следует FFN; 16 голов Q / 4 KV; обучена с MTP.
Контекст: 262 144 нативно, расширяется до 1 010 000 токенов.
Базовая модель: Qwen/Qwen3.5-9B-Base
Языки: 201 язык и диалект; русский, иврит и классический китайский не названы.
Режим рассуждения: Рассуждение по умолчанию; отключается через enable_thinking=False.
Изображения: Да, изображения и видео (визуально-языковая модель с ранним слиянием).
Промпт и сэмплинг из карточки: Без рассуждения: temperature 0.7, top_p 0.8, top_k 20, presence_penalty 1.5; с рассуждением: temperature 1.0, top_p 0.95, top_k 20, presence_penalty 1.5.
Заявления о переводе в карточке: WMT24++ 72.6 (XCOMET-XXL, среднее по 55 языкам); MMLU-ProX 76.3.
Также стоит отметить: MTP можно использовать для спекулятивного декодирования (vLLM qwen3_next_mtp); для сохранения рассуждения карточка советует контекст не менее 128K.
Роль в лаборатории: Отсеяна на отборе, удалена
Ссылки: t-tech/T-pro-it-2.1 · t-tech/T-pro-it-2.1-GGUF (GGUF)
Сильные стороны. Дообученная под русский Qwen3-32B с токенизатором, оптимизированным для русского; тестировалась как источник естественного русского языка.
Слабые стороны. Классический китайский 42.5, художественный английский 56, иврит 69, при 2.6 ток/с. Естественный русский не компенсировал смысловых ошибок.
Что сработало. Карточка требует задавать temperature и presence_penalty в каждом вызове; для сопоставимости мы использовали жадное декодирование.
Оценки качества по наборам текстов (0–100) и скорость по квантам:
Набор / квант | |
|---|---|
ГБ | 26.9 |
Размещение на 16 ГБ | 36 из 64 слоёв на GPU |
ток/с | 3 |
EN | – |
ES | – |
ZH | – |
HE | 69 |
ES худ. | 69 |
EN худ. | 56 |
文言文 | 42 |
HE худ. | 56 |
Класс. HE | 52 |
Веб | – |
Команды запуска (llama-server)
Жадное декодирование и выключенное рассуждение заданы прямо на сервере; размещение слоёв (-ngl, --n-cpu-moe, -t, -ub) подобрано под RTX 5060 Ti 16 ГБ.
Профиль balanced — Q6_K, контекст 16 384
llama.cpp/build/bin/llama-server -m /models/t-tech/T-pro-it-2.1-GGUF/T-pro-it-2.1-Q6_K.gguf --host 127.0.0.1 --port 8091 --alias tpro-Q6_K -c 16384 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 36 -t 8 --temp 0 --top-k 1Профиль quality — Q6_K, контекст 32 768
llama.cpp/build/bin/llama-server -m /models/t-tech/T-pro-it-2.1-GGUF/T-pro-it-2.1-Q6_K.gguf --host 127.0.0.1 --port 8091 --alias tpro-Q6_K -c 32768 -np 1 -ctk q8_0 -ctv q8_0 -fa on --jinja --reasoning-format deepseek -ngl 33 -t 8 -ub 1024 --temp 0 --top-k 1Карточка модели и архитектура
GGUF: qwen3, 64 слоя, 32.8B весов
Разработчик: T-Tech (Т-Банк)
Дата выхода: Репозиторий на HF создан 2025-12-16; GGUF — 2025-12-18.
Лицензия: Apache-2.0
Параметры: 32.8B (safetensors).
Архитектура: Плотная Qwen3 (Qwen3ForCausalLM): 64 слоя, hidden 5120, 64 головы Q / 8 KV, полное внимание.
Контекст: 32 768 нативно (в конфиге 40 960); до 131 072 с YaRN factor 4.
Базовая модель: Qwen/Qwen3-32B
Языки: Ориентирована на русский (метаданные: ru); многоязычное покрытие не указано; иврит и классический китайский не упомянуты.
Режим рассуждения: Только без рассуждения; блоки <think> не выдаёт.
Изображения: Нет.
Промпт и сэмплинг из карточки: temperature 0.7, top_p 0.8, top_k 20, presence_penalty 1.0 (temperature и presence_penalty обязательны в каждом вызове); пример системного промпта: «Ты T-pro, виртуальный ассистент в Т-Технологиях...».
Заявления о переводе в карточке: Нет (Ru Arena Hard 93.8, ruIFeval 80.7, ruBFCL 66.0).
Также стоит отметить: Токенизатор, оптимизированный для русского, ускоряет генерацию на русском; три GRPO-эксперта объединены методом SLERP; по данным карточки GGUF, Q4_K_M отстаёт от BF16 не более чем примерно на 1 балл.
Как мы с Claude тестировали
Все модели запускались через сервер llama.cpp с настройками, подобранными под эту машину (сколько слоёв или экспертов уходит в системную RAM, число потоков, тип KV-кеша).
Этап 0 · smoke test
По одному абзацу на категорию. Загружается ли модель, отвечает ли по-русски, не оставляет ли непереведённых кусков?
Этап 1 · отбор
Все модели и кванты на отрывках по 2000 знаков: промпт из карточки модели, жадное декодирование, фрагменты по 1000 токенов. По одному слепому судье на лист. Дальше проходили три лучшие модели в каждой категории плюс все, кто отставал от них не больше чем на 5 баллов.
Этап 2 · настройка
Для каждой прошедшей модели параметры менялись по одному и сравнивались с базовым результатом отбора: язык инструкции, сэмплер, размер фрагмента вместе с контекстом, стилевая инструкция, рассуждение и второй проход редактуры моделью Gemma 4 31B.
Этап 3 · финал
Лучшая настройка каждого финалиста на отложенных отрывках вдвое длиннее, не использовавшихся на настройке. По два слепых судьи на лист, оценки усреднялись.
Методы
Черновик + редактура моделью Gemma 4 31B
В двухпроходной схеме быстрая модель пишет черновик, а затем каждый фрагмент вместе с исходником передаётся Gemma 4 31B. Редактор работает с жадным декодированием, без рассуждения, под таким системным промптом (для художественных текстов к нему добавляется стилевая инструкция):
Ты — старший литературный редактор русскоязычных текстов и рецензент переводов. Ты получаешь ИСХОДНЫЙ ТЕКСТ (SOURCE) и ЧЕРНОВИК (DRAFT) русского перевода. Исправь: пропуски, добавления, ошибки перевода, неверные имена и термины, кальки и неестественный русский, потерянные тон, иронию или регистр. Сохрани всё, что уже хорошо, — не переписывай ради переписывания, не сокращай. Выведи ТОЛЬКО итоговый русский текст, без комментариев.
Проход редактуры улучшил каждый черновик, к которому применялся, и на настройке выиграл на всех листах, кроме одного. Чем слабее черновик, тем больше прирост.
Он подтягивает черновик примерно до уровня самой 31B или чуть выше. На испанских и английских художественных текстах цепочки «черновик + редактура» и одна 31B финишировали в пределах шума. На художественных текстах на иврите цепочки явно обошли одну 31B (82.5–85.5 против 74.5). На классическом китайском цепочка уверенно опередила 31B на настройке (84.2 против 71.2), а в финале немного обошла 31B с рассуждением (74.0 против 71.9), потратив примерно втрое меньше времени.
Редактор не может исправить то, чего не понимает. На классическом иврите отредактированный черновик Index (66.0) всё равно остался ниже Flash-Next без редактуры (70.7–72.7).
Это стоит времени: 31B редактирует здесь со скоростью около 6–7 ток/с, что добавляет 3–6 мин на текст длиной 2–5000 знаков.
Режим рассуждения
Рассуждение (thinking) позволяет модели общего назначения подумать, прежде чем ответить. Лаборатория ограничивает рассуждение 3000 токенов, после чего принудительно требует ответ, а если вывод начинает повторяться, перезапускает фрагмент без рассуждения (до появления этой защиты Qwen3.8 27B IQ3 однажды зациклилась на классическом китайском навсегда).
Рассуждение явно окупилось только на классическом китайском при настройке: там модели нужно разобрать предложение, прежде чем его переводить. В финале на отложенных текстах оно вело себя ненадёжно: 31B с рассуждением выиграла 2 листа из 4, но получила 59.5 на «Цзо чжуань», а Flash-Next оставляла китайские и английские слова без перевода.
На художественном и обычном тексте оно почти ничего не меняло или ухудшало результат, при этом занимая в 4–6 раз больше времени.
Указания модели, как анализировать текст (пунктуация, частицы, аллюзии, ключевые термины), поверх рассуждения дали меньше, чем просто рассуждение: Gemma 4 31B 79.0 против 82.5, Flash-Next 72.8 против 76.8.
Для сложных текстов проход редактуры 31B оказался более надёжным способом потратить дополнительное время.
Промпты и настройки
Базовый промпт у каждой модели свой: китайская инструкция из карточки Index, шаблон Hy-MT2, структурированный шаблон TranslateGemma с кодами языков, однострочная инструкция Command A, а для LLM общего назначения — английский системный промпт с просьбой о полном и точном переводе, сохраняющем абзацы, разметку, числа и имена. Для художественных текстов добавляется стилевая инструкция: сохранять авторский голос, иронию, ритм и регистр, а сленг передавать естественными русскими эквивалентами.
Как оценивали
Оценка шла по шкале 0–100: точность 40, беглость 25, стиль 20, терминология 10, формат 5, — причём судья должен был процитировать найденные ошибки. Два судьи на одном листе оценивали очень согласованно (корреляция 0.84–0.99), но при повторной оценке листа отдельные оценки сдвигались до 5 баллов. Любой разрыв меньше примерно 4 баллов следует считать ничьей.
Скорость. Измерялась во время перевода, на этой машине. Модели, которые не помещаются в GPU на 16 ГБ, держат часть весов в системной RAM, а она здесь работает в одноканальном режиме (проблема с материнкой). В двухканальной системе такие модели работали бы примерно в 1.8 раза быстрее.
Результаты
Итоги и выводы
Разочарование недели - модели TranslateGemma, от модели которая заточена на перевод ожидалось гораздо больше, а в итоге она среди худших. Модели Tencent (Hy-MT2) - распиаренный китаец себя не оправдал, даже для китайского языка большинство моделей справились лучше.
Находка недели - модели Index-Translate, здесь распиаренный китаец себя полностью оправдал, впрочем неудивительно - ведь они на основе Qwen моделей. И конечо же наше всё - Qwen Flash-Next. Хорошо зарекомендовали модели Gemma 4 (не знаю как умудрились их испортить в TranslateGemma)
Самим быстрым и качественным оказался способ с двумя моделями, где она делает простой, но быстрый перевод, другая же побольше и поумнее проходит и исправляет его. Так как вывод токенов это самое тяжелое для моделей, то переводить с самого начала тяжелой моделью берет очень много времени, а фронтирной - очень много денег. А вот исправить - это гораздо меньше, процентов 10-20 максимум от всего текста. Вывод такой, что большинство текста - обычные слова, которые можно перевести быстро и просто, а вот сложные пассажи составляют абсолютное меньшинство текста (если это не "Поминки по Финнегану") и только их можно обработать моделью получше. Итоговое качество иногда даже лучше чем если сразу переводить тяжелой моделью.
Так же и с фронтирными моделями - оказалось что они могут поправить перевод, сделанный простой локальной моделью, потратив на это 1-5% токенов от того, что бы они потратили если бы переводили весь текст целиком. Так что самый выигрышный вариант, наверное, это перевести сначала легкой локальной моделью, а потом если надо только локально - отредактировать тяжелой локальной, или же дать на исправление облачной модели. Результат будет такой же по качеству и в раз десять дешевле.
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13.07.26 23:49
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19.07.26 19:53
kimberlyhebertt6877
I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
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19.07.26 19:53
kimberlyhebertt6877
I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
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19.07.26 19:54
kimberlyhebertt6877
I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
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30.07.26 00:04
Ahmed
A really cool analysis, thank you. I was especially struck by how strictly the order is defined: data processing and formatting come first, with color only at the very end. This really saves you from the typical mistake of "first a pretty palette, then we figure out what the chart is for." And the palette validator with OKLCH + colorblindness check is absolutely fantastic; you almost never see that in regular tools. By the way, while reading about rank-trajectory and the logarithmic scale, I immediately remembered how convenient it is to analyze dynamics on charts in ExpertOption—I've been trading there for quite some time now. When the data is well visualized, decisions are noticeably easier and more relaxed. I also liked the point about "no more than eight colors" and the dual-axis ban. Strict restrictions sometimes actually produce better results than complete freedom. I'll try this approach myself.
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30.07.26 17:27
wendytaylor015
My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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30.07.26 17:27
wendytaylor015
My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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31.07.26 16:21
rssllhrnsb
I learned an important lesson after investing in what appeared to be a genuine opportunity. Unfortunately, I was unable to access my funds, which reinforced the importance of carrying out thorough due diligence, checking whether an investment is appropriately regulated, and seeking qualified professional advice rather than relying solely on online reviews or testimonials. During the process of addressing my case, I worked with Mrs. Doris Ashley, who communicated clearly, provided regular updates, and handled the matter in a professional manner. According to my experience, I have recovered $50,000 so far, while efforts to resolve the remaining balance are still in progress. If you wish to contact her, the details I used are: Mrs. Tatiana Sorina TEXT : (tatianasorina06 at G.Ma IL ..c 0 m ) Before committing money to any investment, take time to verify the legitimacy of the platform, confirm any relevant regulatory authorisations, and avoid investing more than you can comfortably afford to lose.
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01.08.26 15:05
keithwilson9899
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01.08.26 15:05
keithwilson9899
ETHEREUM RECOVERY ASSISTANCE: CAPITAL CRYPTO RECOVER HELPED ME RECOVER $98,000 WORTH OF LOST ETH In cases of cryptocurrency scams, having accurate information and trusted support is essential. I would like to recommend Capital Crypto Recover Service, a professional team that specializes in assisting individuals with the recovery of lost or stolen Bitcoin and Ethereum (ETH). Their experienced experts are dedicated to helping victims of digital asset fraud by carefully analyzing each case, developing strategic recovery plans, Capital Crypto Recover Service knowledgeable team's primary goals are to satisfy clients and offer significant support and working diligently toward fund retrieval. The team is committed to providing reliable assistance and maintaining a high level of client satisfaction. Based on my assessment, their reputation professionalism and a strong commitment to their clients. If you have experienced a cryptocurrency loss, you can contacting them for further assistance Phone (Call/Text): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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03.08.26 20:05
Philip
I was a victim of a crypto theft involving a Pink Drainer, which resulted in the theft of my Wrapped Bitcoin (WBTC) from my Polygon network. The experience was incredibly frustrating and distressing, as I had no idea how to recover my funds. Unfortunately, by the time I noticed the theft, the funds had already been drained to an address that I had no control over, making it seem like an irreversible situation.The attack happened when I clicked on what appeared to be a legitimate link. I didn’t realize at the time that it was a phishing attempt designed to siphon off my private keys and access my wallet. The Pink Drainer, a type of malicious script used by attackers, is specifically designed to exploit such vulnerabilities in crypto wallets. The moment I realized that my WBTC had been drained from my Polygon network. I felt completely helpless, as I didn’t have direct access to the thief's address, and there was no way to reverse the transaction on my own at that point, I started searching for ways to recover my funds, but most resources only offered generic advice that wasn’t practical in this particular case. I quickly realized that if I wanted to have any hope of getting my assets back, I would need professional assistance. After some research, I came across a reliable and trusted recovery team called Aspen Recovery Experts. Their expertise in cryptocurrency recovery, especially in cases like mine, seemed promising.I decided to reach out to Aspen Recovery Experts, and I’m incredibly grateful that I did. Their team of crypto recovery experts was able to help me trace the stolen funds and identify the path the funds took after they left my wallet. Using advanced tools and techniques, they were able to track the transactions on the blockchain, helping me understand where my WBTC had been sent. More importantly, they worked tirelessly to assist me in contacting the necessary parties and even interfaced with blockchain analysts to help facilitate the recovery process.Thanks to their efforts, I was able to successfully recover my stolen funds. The entire process took some time, but the Aspen Recovery Experts dedicated team provided regular updates and kept me informed throughout the process, which gave me a sense of hope and relief during an otherwise stressful time. If you’re ever in a similar situation, I highly recommend reaching out to a trusted recovery team like Aspen Recovery Expertshhh . Their professionalism, knowledge, and expertise were critical in helping me recover my funds and regain control of my crypto assets. Whatsapp : +1 747 231 9036 Telegram : @ prohackerspy Email : [email protected]
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03.08.26 20:06
Philip
I was a victim of a crypto theft involving a Pink Drainer, which resulted in the theft of my Wrapped Bitcoin (WBTC) from my Polygon network. The experience was incredibly frustrating and distressing, as I had no idea how to recover my funds. Unfortunately, by the time I noticed the theft, the funds had already been drained to an address that I had no control over, making it seem like an irreversible situation.The attack happened when I clicked on what appeared to be a legitimate link. I didn’t realize at the time that it was a phishing attempt designed to siphon off my private keys and access my wallet. The Pink Drainer, a type of malicious script used by attackers, is specifically designed to exploit such vulnerabilities in crypto wallets. The moment I realized that my WBTC had been drained from my Polygon network. I felt completely helpless, as I didn’t have direct access to the thief's address, and there was no way to reverse the transaction on my own at that point, I started searching for ways to recover my funds, but most resources only offered generic advice that wasn’t practical in this particular case. I quickly realized that if I wanted to have any hope of getting my assets back, I would need professional assistance. After some research, I came across a reliable and trusted recovery team called Aspen Recovery Experts. Their expertise in cryptocurrency recovery, especially in cases like mine, seemed promising.I decided to reach out to Aspen Recovery Experts, and I’m incredibly grateful that I did. Their team of crypto recovery experts was able to help me trace the stolen funds and identify the path the funds took after they left my wallet. Using advanced tools and techniques, they were able to track the transactions on the blockchain, helping me understand where my WBTC had been sent. More importantly, they worked tirelessly to assist me in contacting the necessary parties and even interfaced with blockchain analysts to help facilitate the recovery process.Thanks to their efforts, I was able to successfully recover my stolen funds. The entire process took some time, but the Aspen Recovery Experts dedicated team provided regular updates and kept me informed throughout the process, which gave me a sense of hope and relief during an otherwise stressful time. If you’re ever in a similar situation, I highly recommend reaching out to a trusted recovery team like Aspen Recovery Expertshhh . Their professionalism, knowledge, and expertise were critical in helping me recover my funds and regain control of my crypto assets. Whatsapp : +1 747 231 9036 Telegram : @ prohackerspy Email : [email protected]
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04.08.26 11:05
Kisnoles
Excellent analysis, thank you. I was particularly struck by how rigidly the skill sets the order: data processing and form come first, with color coming last. This really cures the habit of "first a pretty palette, then we'll figure it out." A palette validator using OKLCH + color blindness + WCAG is something most chart generators lack. And regarding the boundaries of competence, it's very clear. Where there's a self-checking loop (color), you delegate freely. Where there's a heuristic (form, data interpretation), you remain the final filter. This is a universal principle, not just for /dataviz. By the way, when you look at trading dashboards (including those of decent platforms like ExpertOption), it's immediately clear who thought about readability and who just threw in rainbow lines. Tools like this skill could greatly improve the quality of analytics. Thanks again for the detailed analysis – saved.
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04.08.26 12:37
kimberlyhebertt6877
I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
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04.08.26 12:37
kimberlyhebertt6877
I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
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06.08.26 08:11
ROMMYHENDERSON344
All you need is to hire an expert to help you accomplish that. If there's any need to spy on your partner's phone. From my experience I lacked evidence to confront my husband on my suspicion on his infidelity, until I came across REALCYBERHACKERS which many commend him of assisting them in their spying mission. So I contacted him and he provided me with access into his phone to view all text messages, call logs, WhatsApp messages and even her location. This evidence helped me move him off my life . I recommend you consult REALCYBERHACKERS AT gmail com or whatsapp +14106350697 if you need access to your partner's phone or any kind of hacking, they carry out all kinds of hacking job
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06.08.26 13:56
lydiassmith567
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06.08.26 13:56
lydiassmith567
HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/Text: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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11.08.26 03:43
raymont0714
I recommend a trusted cybersecurity PRO with experience in authorized device access, security testing, and data recovery. SHE work only with the owner's consent and follow all legal and privacy rules on meta data. With permission, this specialist can recover lost files, check device security offline & online, and review texts, call records, or hidden data (spy or lurk around a cheating partner or colleuge). Strict confidentiality agreements protect the information, and client details remain private. The work is careful, efficient, and suited to complex cases. For help securing or recovering information from a phone or another electronic device, use the details below 2 consult [email protected] +44 7476618364 I trust her secrecy a living witness. Her discretion is unmatched, ensuring your privacy is always maintained
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12.08.26 16:37
rssllhrnsb
I learned an important lesson after investing in what appeared to be a genuine opportunity. Unfortunately, I was unable to access my funds, which reinforced the importance of carrying out thorough due diligence, checking whether an investment is appropriately regulated, and seeking qualified professional advice rather than relying solely on online reviews or testimonials. During the process of addressing my case, I worked with Mrs. Tatiana Sorina , who communicated clearly, provided regular updates, and handled the matter in a professional manner. According to my experience, I have recovered $50,000 so far, while efforts to resolve the remaining balance are still in progress. If you wish to contact her, the details I used are: Mrs. Tatiana Sorina TEXT : (tatianasorina06 at G_Ma IL dot ..c 0 m)…. Before committing money to any investment, take time to verify the legitimacy of the platform, confirm any relevant regulatory authorisations, and avoid investing more than you can comfortably afford to lose.
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16.08.26 01:44
Matt Kegan
CapitalNode Analytics. They help to investigate and recover stolen digital assets from fake trading platforms. Great firm i must say.
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18.08.26 04:59
marcushenderson624
Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone WhatsApp/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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18.08.26 04:59
marcushenderson624
Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone WhatsApp/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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19.08.26 14:50
BAYER7043
My account was locked, and I couldn’t access my own information until [email protected] +447476618364 whats?up? helped me recover it. This lady hacker was kind and professional, but this experience showed me how risky account lockouts can be. If you’re facing the same problem, do not panic consult her A. S. A. P. Be careful with recovery agents outchea, and research their name, business, and reviews before sharing any details. Never send passwords, security codes, banking information, or copies of your ID unless you’ve confirmed who you’re dealing with. Be wary of promises that sound too good to be true, especially claims that require little information or guarantee instant access with outrageous fees.
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20.08.26 11:32
michaeldavenport218
I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR WhatsApp Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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20.08.26 11:32
michaeldavenport218
I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR WhatsApp Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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23.08.26 20:02
leslieyee
Excellent analysis by /dataviz! I was particularly struck by how strictly the order is defined: "data meaning first, color last" and how the validator actually adjusts the palette according to OKLCH, color blindness, and WCAG standards. These rules greatly improve the quality of charts. By the way, a similar approach to clean and legible charts is highly valued in trading—for example, on the ExpertOption platform, the interface and price visualization are designed to ensure information is read instantly and without unnecessary noise.
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25.08.26 13:44
lydiassmith567
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25.08.26 13:44
lydiassmith567
HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/WhatsApp: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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30.08.26 15:37
[email protected]
Discovering I had been defrauded, I searched online for services claiming to recover stolen ETH. I contacted several companies, but none succeeded. Although some claimed they could trace assets or recover funds, I could not verify their success or recover my money. I later found SYLVESTER BRYANT Recovery through Google. After contacting him, he recovered 450,000,00. He can be reached at [email protected] or WhatsApp at +1 512 577 7957.
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30.08.26 15:37
[email protected]
Discovering I had been defrauded, I searched online for services claiming to recover stolen ETH. I contacted several companies, but none succeeded. Although some claimed they could trace assets or recover funds, I could not verify their success or recover my money. I later found SYLVESTER BRYANT Recovery through Google. After contacting him, he recovered 450,000,00. He can be reached at [email protected] or WhatsApp at +1 512 577 7957.
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01.09.26 11:16
lisawerth897
My Experience With Cryptocurrency — CAPITAL CRYPTO RECOVER I lost over $82,000 in Bitcoin after falling victim to a fraudulent online investment scheme. After realizing I had been scammed, I spent considerable time researching possible ways to recover my funds. During my research, I came across CAPITAL CRYPTO RECOVER and decided to contact them after reading their reported success record and encouraging client positive reviews and testimonials. Their team guided me through the recovery process, and I was grateful to successfully recover my lost cryptocurrency. The experience was challenging, but I appreciated the assistance and support I received throughout the process. I’m sharing my experience in the hope that it may encourage other victims to carefully research their options and verify any recovery service before proceeding. I will forever be thankful to you CAPITAL CRYPTO RECOVER 📧 [email protected] 🌐 Website: recovercapital.wixsite.com/capital-crypto-rec-1 📧 [email protected] 📞 Call/WhatsApp: +1 (336) 390-6684
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01.09.26 11:16
lisawerth897
My Experience With Cryptocurrency — CAPITAL CRYPTO RECOVER I lost over $82,000 in Bitcoin after falling victim to a fraudulent online investment scheme. After realizing I had been scammed, I spent considerable time researching possible ways to recover my funds. During my research, I came across CAPITAL CRYPTO RECOVER and decided to contact them after reading their reported success record and encouraging client positive reviews and testimonials. Their team guided me through the recovery process, and I was grateful to successfully recover my lost cryptocurrency. The experience was challenging, but I appreciated the assistance and support I received throughout the process. I’m sharing my experience in the hope that it may encourage other victims to carefully research their options and verify any recovery service before proceeding. I will forever be thankful to you CAPITAL CRYPTO RECOVER 📧 [email protected] 🌐 Website: recovercapital.wixsite.com/capital-crypto-rec-1 📧 [email protected] 📞 Call/WhatsApp: +1 (336) 390-6684
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01.09.26 17:34
Garry42
Really crazy world. These fraudsters go at any length to steal your hard earned funds. I have been a victim of a bitcoin scam about 7 months back. A Con artist gained access to my cashapp account through a phishing scam. They stole $409,000. I was really devastated. I did everything to get back my funds by contacting the FBI but they claimed there was nothing they could do. A friend told me about a recovery expert. He helps fight against various phishing and investment scams and they were able to help trace and recover my funds even though it took over 2 days. you can reach out to him through recoverydarek@gmail. com . I can guarantee his services are still active.
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01.09.26 17:34
Garry42
Really crazy world. These fraudsters go at any length to steal your hard earned funds. I have been a victim of a bitcoin scam about 7 months back. A Con artist gained access to my cashapp account through a phishing scam. They stole $409,000. I was really devastated. I did everything to get back my funds by contacting the FBI but they claimed there was nothing they could do. A friend told me about a recovery expert. He helps fight against various phishing and investment scams and they were able to help trace and recover my funds even though it took over 2 days. you can reach out to him through recoverydarek@gmail. com . I can guarantee his services are still active.
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02.09.26 03:43
kimberlyhebertt6877
I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684
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02.09.26 03:43
kimberlyhebertt6877
I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684
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04.09.26 21:51
Kovengray
Recovering your lost investment funds as the case might be, is not what you can do alone, you’d require the service of a trained recovery specialist. A recovery specialist is a person or a group of people who are well equipped to work around the brokerage network. They have vast knowledge about the whole network and have the right software and private keys to follow any transaction. I was ripped off trading online to an investment broker, good thing I got every penny back through the help of Gavin ray he’s a genius Contact : Gavinray78 at gmail com or WhatsApp +1 352 322 2096 It is also important to be patient and really calm during the process.
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05.09.26 21:38
[email protected]
I invested 45,000 Euro, and later aggreviated to 198,000 Euro. I requested to place Withdrawal of my funds to be paid to my Bank account. But nothing happened I was subjected to pay more fee until I can get my funds on my account, i got in touch with Theodore ryan here on this platform who had helped a lot of people, I followed all instructions and he legally got back my withheld funds, I got threatened by the company that if I don’t pay they will get my account frozen, all thanks to Theodore ryan and I highly recommend him to anyone dealing with an unregulated broker company… contact him on his Gmail - theodoreryan318@ gmail . com
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09.09.26 21:31
lisawerth897
My Experience With Cryptocurrency — CAPITAL CRYPTO RECOVER I lost over $82,000 in Bitcoin after falling victim to a fraudulent online investment scheme. After realizing I had been scammed, I spent considerable time researching possible ways to recover my funds. During my research, I came across CAPITAL CRYPTO RECOVER and decided to contact them after reading their reported success record and encouraging client positive reviews and testimonials. Their team guided me through the recovery process, and I was grateful to successfully recover my lost cryptocurrency. The experience was challenging, but I appreciated the assistance and support I received throughout the process. I’m sharing my experience in the hope that it may encourage other victims to carefully research their options and verify any recovery service before proceeding. I will forever be thankful to you CAPITAL CRYPTO RECOVER 📧 [email protected] 🌐 Website: recovercapital.wixsite.com/capital-crypto-rec-1 📧 [email protected] 📞 Call/WhatsApp: +1 (336) 390-6684
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09.09.26 21:31
lisawerth897
My Experience With Cryptocurrency — CAPITAL CRYPTO RECOVER I lost over $82,000 in Bitcoin after falling victim to a fraudulent online investment scheme. After realizing I had been scammed, I spent considerable time researching possible ways to recover my funds. During my research, I came across CAPITAL CRYPTO RECOVER and decided to contact them after reading their reported success record and encouraging client positive reviews and testimonials. Their team guided me through the recovery process, and I was grateful to successfully recover my lost cryptocurrency. The experience was challenging, but I appreciated the assistance and support I received throughout the process. I’m sharing my experience in the hope that it may encourage other victims to carefully research their options and verify any recovery service before proceeding. I will forever be thankful to you CAPITAL CRYPTO RECOVER 📧 [email protected] 🌐 Website: recovercapital.wixsite.com/capital-crypto-rec-1 📧 [email protected] 📞 Call/WhatsApp: +1 (336) 390-6684
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09.09.26 23:22
Fraddy Pual
Hearing that these individuals are focusing on other people makes me very sad. I had a similar situation with them and lost a lot of money, but after learning about (Cruxcipherteam @ proton DoT me), whataqq:+168160-15021, telegram: @Cruxcipherteam I was able to get my money back. It's critical that we all be watchful and keep reporting these occurrences.
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11.09.26 03:23
kimberlyhebertt6877
I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684
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11.09.26 03:23
kimberlyhebertt6877
I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684
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15.09.26 03:35
elioduncan
I fell victim to a freelance web development contract scam that ultimately cost me CAD 4,000. It all started when I came across a job posting on Indeed Canada, a popular online job portal. The position seemed perfect: a freelance web developer role for an established company looking for someone to design and build a fully functional e-commerce website. The job promised a high payment of CAD 20,000 upon successful completion, which sounded like a great opportunity for me to gain experience and earn decent pay.The employer, who introduced himself as a project manager from a "well-known" tech company, was very persuasive and professional in our initial communication. He explained that the project involved developing a user-friendly, responsive online store for their client and that they had a strict timeline to meet. He assured me that the payment would be made promptly after completing the tasks. However, before starting the work, he told me that I would need to pay an upfront fee of CAD 4,000 to cover certain software tools and licensing fees required for the project. This was supposedly a part of their company policy for freelance contractors, ensuring access to their premium resources. The idea of working on a professional project, coupled with the promise of a substantial payout, convinced me to pay the upfront fee.As soon as I made the payment, the project manager became increasingly difficult to reach. He initially responded to my emails and provided some vague instructions on what the project would entail, but as time went on, communication slowed to a complete halt. I never received the required tools or any proper project details. My emails went unanswered, and any attempts to contact the company were met with silence. After waiting for weeks, I realized that I had been scammed.Desperate to recover my money, I turned to TechY Force Cyber Retrieval, a service that specializes in helping victims of online scams. They helped me track the payment and took legal steps to pursue the fraudsters. Through their guidance, I was able to recover the full CAD 4,000. TechY Force Cyber Retrieval worked with my bank to reverse the transaction and liaised with the authorities to trace the scammer's details.This was a hard lesson, and I now know to be highly cautious about online job offers that require upfront payments. It is crucial to research companies thoroughly and avoid any job that seems too good to be true, especially when it involves paying money upfront. WhatsApp https://wa.link/2x6ktp Mail. [email protected]
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15.09.26 15:45
lydiassmith567
HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/WhatsApp: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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15.09.26 15:45
lydiassmith567
HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/WhatsApp: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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05.10.26 21:26
[email protected]
I Invested 45,000 Euro, and later aggreviated to 198,000 Euro. I requested to place Withdrawal of my funds to be paid to my Bank account. But nothing happened I was subjected to pay more fee until I can get my funds on my account, i got in touch with Theodore ryan here on this platform who had helped a lot of people, I followed all instructions and he legally got back my withheld funds, I got threatened by the company that if I don’t pay they will get my account frozen, all thanks to Theodore ryan and I highly recommend him to anyone dealing with an unregulated broker company… contact him on his Gmail - theodoreryan318@ gmail . com
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06.10.26 06:13
melissathomason573
Professional Crypto Recovery Testimonial After losing a significant amount of cryptocurrency through a scam on Twitter, I was unsure whether my Bitcoin funds could ever be recovered. The experience was extremely stressful, particularly because I encountered several individuals and services claiming they could help recover my assets, only to discover that some were fraudulent themselves. A friend eventually referred me to CAPITAL CRYPTO RECOVER. Their team handled my case professionally, discreetly, and efficiently. With their assistance, I successfully recovered approximately $130,000 worth of USDT in just over a week. My experience taught me the importance of being extremely cautious when seeking cryptocurrency recovery services, as scammers often target victims a second time. I am grateful to CAPITAL CRYPTO RECOVER for the assistance I received and wanted to share my experience with others who may be facing a similar situation. If you’ve been compromised, don’t lose hope—and be careful of fraudsters posing as saviors. CAPITAL CRYPTO RECOVER are real professionals in crypto recovery. I am a living proof of their effectiveness, you can reach them through Phone (Call/WhatsApp): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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06.10.26 06:13
melissathomason573
Professional Crypto Recovery Testimonial After losing a significant amount of cryptocurrency through a scam on Twitter, I was unsure whether my Bitcoin funds could ever be recovered. The experience was extremely stressful, particularly because I encountered several individuals and services claiming they could help recover my assets, only to discover that some were fraudulent themselves. A friend eventually referred me to CAPITAL CRYPTO RECOVER. Their team handled my case professionally, discreetly, and efficiently. With their assistance, I successfully recovered approximately $130,000 worth of USDT in just over a week. My experience taught me the importance of being extremely cautious when seeking cryptocurrency recovery services, as scammers often target victims a second time. I am grateful to CAPITAL CRYPTO RECOVER for the assistance I received and wanted to share my experience with others who may be facing a similar situation. If you’ve been compromised, don’t lose hope—and be careful of fraudsters posing as saviors. CAPITAL CRYPTO RECOVER are real professionals in crypto recovery. I am a living proof of their effectiveness, you can reach them through Phone (Call/WhatsApp): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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06.10.26 17:44
Darrell1717
I fell victim of a scam I invested to total of 5thousand into. I know it could be risky but after I trusted this man I was dating online he lured me into investing with him. I know hard I worked of my money so I wanted every way possible to get it back. I really appreciate Blockrecoveryexpert for successfully recovered my funds form this scammer. This is all I can say. You can reachout if you ever need help contact blockrecoveryexpert (at) gmail (dot)com
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11.10.26 03:04
Patricia014
Most recovery companies will take your money again. I personally think they’re the same set of people running all of them. It’s a sad, unending cycle, and so many people fall for cloned websites. The only recovery agent I know is Agent Rottgen Raphael. I’ve visited their physical company address, and they’ll tell you if they can handle your case instead of taking upfront payment when they know they can’t help. I highly appreciate their support in recovering my money from the scammers’ wallet within 24 hours. RottgenRaphael@Gmail. com
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12.10.26 19:34
lydiassmith567
HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/WhatsApp: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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12.10.26 19:34
lydiassmith567
HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/WhatsApp: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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13.10.26 14:14
lisalisa22
Legitimate Cryptocurrency Recovery Services: Consult ZEUS CRYPTO RECOVERY SERVICES Zeus Crypto Recovery Services supports individuals exploring options after cryptocurrency losses from fraud, unauthorised transfers, or wallet access issues. Services may include blockchain analysis, wallet tracing, and evidence gathering for investigations. Each case is reviewed. Zeus Crypto Recovery Services is a trusted company with the highest success rate among cryptocurrency recovery services in 2025/2026 and is highly recommended if you have been scammed. ZEUS CRYPTO RECOVERY SERVICES handles case such as Scammed USDT Lost BTC, Coinbase Wallet Forgotten password, ETH and coins, etc. Anything that has to do with cryptocurrency or lost digital assets, ZEUS can help you Do you Need Help? Website https://zeusrecoveryservices.com Mailbox [email protected] WhatsApp number +447798816938 Telegram https://t.me/Zeuscryptorecoveryservices
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13.10.26 14:14
lisalisa22
Legitimate Cryptocurrency Recovery Services: Consult ZEUS CRYPTO RECOVERY SERVICES Zeus Crypto Recovery Services supports individuals exploring options after cryptocurrency losses from fraud, unauthorised transfers, or wallet access issues. Services may include blockchain analysis, wallet tracing, and evidence gathering for investigations. Each case is reviewed. Zeus Crypto Recovery Services is a trusted company with the highest success rate among cryptocurrency recovery services in 2025/2026 and is highly recommended if you have been scammed. ZEUS CRYPTO RECOVERY SERVICES handles case such as Scammed USDT Lost BTC, Coinbase Wallet Forgotten password, ETH and coins, etc. Anything that has to do with cryptocurrency or lost digital assets, ZEUS can help you Do you Need Help? Website https://zeusrecoveryservices.com Mailbox [email protected] WhatsApp number +447798816938 Telegram https://t.me/Zeuscryptorecoveryservices
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17.10.26 12:58
melissathomason573
Professional Crypto Recovery Testimonial After losing a significant amount of cryptocurrency through a scam on Twitter, I was unsure whether my Bitcoin funds could ever be recovered. The experience was extremely stressful, particularly because I encountered several individuals and services claiming they could help recover my assets, only to discover that some were fraudulent themselves. A friend eventually referred me to CAPITAL CRYPTO RECOVER. Their team handled my case professionally, discreetly, and efficiently. With their assistance, I successfully recovered approximately $130,000 worth of USDT in just over a week. My experience taught me the importance of being extremely cautious when seeking cryptocurrency recovery services, as scammers often target victims a second time. I am grateful to CAPITAL CRYPTO RECOVER for the assistance I received and wanted to share my experience with others who may be facing a similar situation. If you’ve been compromised, don’t lose hope—and be careful of fraudsters posing as saviors. CAPITAL CRYPTO RECOVER are real professionals in crypto recovery. I am a living proof of their effectiveness, you can reach them through Phone (Call/WhatsApp): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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17.10.26 12:58
melissathomason573
Professional Crypto Recovery Testimonial After losing a significant amount of cryptocurrency through a scam on Twitter, I was unsure whether my Bitcoin funds could ever be recovered. The experience was extremely stressful, particularly because I encountered several individuals and services claiming they could help recover my assets, only to discover that some were fraudulent themselves. A friend eventually referred me to CAPITAL CRYPTO RECOVER. Their team handled my case professionally, discreetly, and efficiently. With their assistance, I successfully recovered approximately $130,000 worth of USDT in just over a week. My experience taught me the importance of being extremely cautious when seeking cryptocurrency recovery services, as scammers often target victims a second time. I am grateful to CAPITAL CRYPTO RECOVER for the assistance I received and wanted to share my experience with others who may be facing a similar situation. If you’ve been compromised, don’t lose hope—and be careful of fraudsters posing as saviors. CAPITAL CRYPTO RECOVER are real professionals in crypto recovery. I am a living proof of their effectiveness, you can reach them through Phone (Call/WhatsApp): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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24.10.26 03:16
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24.10.26 03:16
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24.10.26 03:16
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24.10.26 03:16
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24.10.26 03:23
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24.10.26 03:23
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24.10.26 03:24
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25.10.26 14:35
lydiasmitth456
HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/WhatsApp: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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25.10.26 14:35
lydiasmitth456
HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/WhatsApp: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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27.10.26 01:58
KATHLEEN
Cyberspacetechexpert focuses on recovering stolen cryptocurrency, particularly USDT and bitcoin. She is well-known for helping victims of digital asset theft. Her reputation arises from successful recoveries that have allowed many to regain their lost funds. I witnessed this when $74,000 was taken from me in January. Thanks to the best female hacker Gracias, I recovered the entire amount in just 14 hours. Her prompt response and effective methods relieved my financial burden. Her commitment to helping others is evident. She is always available to offer solutions to those facing similar problems. For assistance, she can be reached via email Cyberspacetechexpert@gmail .com. or speak to her on What App at + 44 7476618364.
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27.10.26 02:22
kimberlyhebertt6877
I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684
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27.10.26 02:22
kimberlyhebertt6877
I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684
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27.10.26 02:25
KATHLEEN
Cyberspacetechexpert focuses on recovering stolen cryptocurrency, particularly USDT and bitcoin. She is well-known for helping victims of digital asset theft. Her reputation arises from successful recoveries that have allowed many to regain their lost funds. I witnessed this when $74,000 was taken from me in January. Thanks to the best female hacker Gracias, I recovered the entire amount in just 14 hours. Her prompt response and effective methods relieved my financial burden. Her commitment to helping others is evident. She is always available to offer solutions to those facing similar problems. For assistance, she can be reached via email Cyberspacetechexpert@gmail .com. or speak to her on What App at + 44 7476618364.
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27.10.26 23:04
kevinlong
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30.10.26 06:11
melissathomason573
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02.11.26 02:57
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02.11.26 21:26
lisawerth897
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02.11.26 21:26
lisawerth897
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05.11.26 18:21
Brian147
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13:22
kimberlyhebertt6877
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13:22
kimberlyhebertt6877
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