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Модели T-lite и T-pro: training report

Привет! Я Дима Стоянов, MLE в команде разработки фундаментальных моделей. Мы продолжаем рассказывать о наших моделях T-lite и T-pro. Общие характеристики и результаты бенчмарков описывали в предыдущей публикации. В этой статье раскроем детали предобучения: от подготовки данных до финальных экспериментов, а совсем скоро поделимся особенностями этапа post-training.

Открытые модели все увереннее конкурируют с проприетарными решениями, что наглядно демонстрирует успех DeepSeek R1 и реакция сообщества на ее выпуск.

Ситуация с русскоязычными моделями обстоит сложнее: в открытом доступе представлено ограниченное количество LLM. Крупные игроки чаще всего публикуют модели с ограничивающими лицензиями или же выкладывают легкие версии своих флагманских разработок.

В мире открытых моделей процесс обучения моделей часто описывается скудно, особенно это касается обработки данных. Мы хотели поддержать опенсорс-сообщество, выложив модели с открытой лицензией. А в этой статье детально раскроем наш процесс обучения: от философии проекта до технических нюансов предобработки данных. Поделимся успешными и неудачными экспериментами, рассмотрим актуальные исследования в этой области и наше видение дальнейшего развития.

Зачем адаптировать модели на русский язык

Большинство сильных открытых моделей англоцентричны, то есть их тренировочный датасет по большей части состоит из англоязычных текстов. Это происходит по естественным причинам: больше всего данных, особенно высококачественных, представлено именно на английском языке. Доля русского языка в таких моделях обычно не превышает нескольких процентов датамикса.

Англоязычность моделей и небольшая доля русского приводит к проблемам:

субоптимальное качество ответов на русском языке;
артефакты при генерации русскоязычного текста, например неестественные предложения;
code-switch, когда модель переключается между языками в ходе одного предложения;
недостаточное знание российской культуры.

Полное предобучение с нуля как один из способов решения перечисленных проблем требует значительных вычислительных ресурсов на каждый эксперимент и может быть дорогим в приложениях. Открытые модели не стоят на месте, постоянно улучшая качество.

Нашей целью было получить рецепт обучения, который позволит использовать прогресс open-source-моделей и одновременно улучшить качество для русского языка. Так мы пришли к многостадийному continual-pretraining c последующими general-alignment-ом. Это позволяет нам балансировать между забыванием исходного распределения данных, на котором предобучалась базовая модель, и глубиной адаптации под наши цели.

Помимо этого, наш рецепт можно повторить и для доменной адаптации на внутренние домены или, например, финансовый домен. В результате доменно адаптированная модель будет лучше решать банковские задачи.

Но, так как open-source не стоит на месте, мы каждый раз продолжаем проверять стадии нашего рецепта и наблюдаем, что каждая из них приносит значимый прирост на бенчмарках.

Стадии обучения языковой модели

Существуют различные подходы к обучению моделей: от создания моделей с нуля, включая все этапы обучения, до более легковесных решений.

Легковесные методы адаптации. Наименее затратным методом являются Parameter Efficient Fine-Tuning методы — когда обучают лишь часть параметров модели.Такое обучение можно легко завести на consumer-grade-видеокартах для большинства моделей, а для обучения зачастую достаточно сотен тысяч примеров. PEFT широко применяется для адаптации модели под конкретные бизнес-задачи, обеспечивая высокую эффективность при минимальных затратах.

Если качество обученной модели, дообученной с помощью PEFT, оказывается недостаточным, применяют Supervised Fine Tuning. В этом случае обучаются уже все параметры модели, что требует больше вычислительных ресурсов и позволяет значительнее влиять на поведение модели и целевые метрики.

Обучение моделей общего назначения, не ориентированных на узкоспециализированные сценарии, проходит с помощью General Post-Training.

General Post-Training включает:

General SFT — дообучение модели на разнообразных инструкциях для расширения ее функциональных возможностей.
Alignment — настройку модели в соответствии с человеческими предпочтениями и этическими принципами.

Обучение моделей с нуля дает максимальную гибкость, позволяя выбирать архитектуру, закладывать необходимые знания и адаптировать модель под конкретные задачи. Полное обучение включает:

Выбор архитектуры.
Обучение токенизатора.
General Pre-Training.
General Post-Training.

Хотя такой подход позволяет достичь передовых результатов (SOTA), он требует колоссальных ресурсов: тысячи видеокарт, так как SOTA-модели обучаются на десятках триллионах токенов. Еще нужны огромные вычислительные мощности и значительные инженерные усилия. Кроме того, циклы экспериментов могут длиться неделями, а полный процесс создания модели — занимать месяцы. За это время в опенсорсе может появиться более мощная модель, что делает вложенные ресурсы неэффективными.

Мы использовали гибридный подход Continual Pretraining, который сочетает элементы Pre-Training и Post-Training, но вместо обучения модели с нуля мы взяли за основу уже сильную открытую модель — Qwen2.5. Это позволило нам:

значительно снизить затраты;
ускорить процесс обучения;
сохранить преимущества глубокой адаптации.

Continual Pretraining дает баланс между качеством, гибкостью и стоимостью, обеспечивая эффективное развитие моделей для реальных задач.

Схема этапов обучения T-pro

Наш рецепт обучения состоит из шести стадий:

выбор оптимальной базовой модели;
опциональный этап по расширению токенизатора;
continual pretraining stage 1;
continual pretraining stage 2 с добавлением инструктивных данных;
SFT;
DPO.

Основная идея — дообучать уже сильные открытые модели, тратя на обучение на порядки меньше ресурсов, чем создатели текущих моделей лидеров индустрии.

Мы сохраняем возможность улучшать необходимые навыки, адаптировать модель к целевым доменам и нивелировать недостатки опенсорс-моделей, например переключение на китайский язык во время генерации.

Мы хотим обучать модель на сотнях миллиардах токенов: этого достаточно, чтобы оказать значимое влияние на способности модели, при этом осуществлять короткий цикл экспериментов и экономить ресурсы.

В релизе T-lite-it-1.0/T-Pro-it-1.0 мы не проводили этап расширения токенизатора, поскольку существующие токены родного токенизатора Qwen-2.5 были обучены на гораздо большем токен-бюджете и нам не хотелось рисковать деградацией способностей модели.

Нативный токенизатор Qwen-2.5 имеет не самую оптимальную плотность на русском языке, и этот этап действительно актуален. В будущих релизах планируем увеличить эффективность токенизации на русском языке.

Помимо стандартных методов расширения токенизатора с прогревом embdding-слоев и дообучением на большом корпусе претрейн-данных существуют менее вычислительно затратные методы, например подход Learned Embeddings Propogation от RuAdapt.

Выбор оптимальной LLM-модели

Первым этапом нашего рецепта был выбор сильной открытой модели. Мы оценивали кандидатов по нескольким критериям:

высокие бенчмарки на популярных англоязычных бенчмарках;
позиции на LMSYS Arena, включая срез русскоязычных запросов;
результаты на русскоязычной арене;
достойные показатели на русскоязычных бенчмарках (MERA, ru-arena-hard);
развитые мультиязычные способности;
субъективные впечатления от промптинга модели на различных задачах;
качество перевода на русский язык.

Мы начали с анализа опубликованных бенчмарков, поскольку это наиболее доступный и быстрый способ получить предварительное представление о модели. Затем самостоятельно протестировали кандидатов на MERA, оценивая их поведение в конкретных задачах.

Стоит учитывать, что некоторые задачи в MERA имеют специфический формат, непривычный для LLM. Это может приводить к неоптимальным результатам не из-за недостатка знаний или способностей модели, а из-за особенностей промптинга и формулировки заданий. Тем не менее оценки на MERA дают полезный сигнал для отбора моделей.

Статические бенчмарки помогают оценить уровень знаний модели, однако для понимания ее полезности в реальных сценариях важны диалоговые бенчмарки, такие как арены. В них пользователи голосуют за лучшие ответы, формируя лидерборд, который позволяет выявить модели с наиболее качественными и естественными ответами.

Поскольку наша цель — улучшение модели в русскоязычном сегменте, мы изначально ориентировались на мультиязычные модели, обладающие хорошими зачатками работы с русским языком. Это позволило существенно упростить процесс адаптации.

Хотя бенчмарки дают важную информацию, полностью полагаться на них нельзя: у них есть свои ограничения и недостатки, также их часто «гейнят». Поэтому ключевую роль в окончательном выборе сыграли реальные сценарии использования:

генерация синтетических данных;
перевод на русский язык;
решение In-Context Learning (ICL) задач.

На основе совокупности всех тестов и критериев мы выбрали семейство Qwen-2.5 в качестве базовой модели.

Как дообучать модель

После выбора модели возникает вопрос: с какой версии начинать дообучение — базовой или инструктивной?

С одной стороны, дообучение базовой модели дает полный контроль над ее диалоговыми способностями и логично дополняется этапом допредобучения. С другой стороны, передовые инструктивные модели уже обучены на миллионах, а иногда и на десятках миллионов инструкций, а их post-training включает значительные усилия по улучшению качества ответов. Это делает использование таких моделей привлекательным, поскольку позволяет сразу задействовать их сильные стороны.

Наши эксперименты показали, что дообучение на основе инструктивной модели оказалось более эффективным, чем на базовой. Но это объясняется относительно небольшим токен-бюджетом нашего обучения: веса модели не слишком сильно отклонились от исходного состояния, что минимизировало проблему катастрофического забывания.

При обучении на значительно больших объемах данных дообучение поверх базовой модели может быть более оптимальным, так как позволяет глубже интегрировать новые знания и настраивать модель под конкретные задачи.

Датасет для первой стадии предобучения

Бюджет первой стадии обучения составляет 100B токенов. Достаточно, чтобы значимо повлиять на знание русского языка, при этом позволяет сохранять короткий цикл экспериментов.

График показывает взаимосвязь между долей английского в претрейне и лоссом на английских текстах

При дообучении под русский язык все еще необходимо добавлять повтор на английском языке в датамикс для уменьшения эффекта деградации на английском языке. Но деградация все равно будет, и, как показывает статья авторов модели Sailor, существует компромисс между скоростью обучения целевому языку и снижением качества бенчмарков на доминирующем исходно, при этом такой деградации полностью не избежать. Авторы вывели зависимость валидационного лосса от доли повторов.

Для нас результаты модели на русском языке значительно важнее просадки на англоязычных бенчмарках, поэтому мы решили оставить лишь 10% англоязычных текстов в первой стадии обучения. В ходе проведенных аблейшнов эта конфигурация также проявила себя оптимальнее всего.

Распределение языков в первой стадии предобучения (Stage 1)

Помимо английского языка, необходимо выбрать долю кода в датамиксе. Основываясь на актуальных исследованиях по связи кода и навыков рассуждения, мы решили установить значительную долю кода в распределение датамикса — 25%.

Распределение по источникам Stage 1

Более половины распределения по источникам составляют очищенные и дедублицированные через CCNet-like пайплайн веб-страницы из Common Craw. Их объем позволяет масштабировать датамикс до триллионов токенов. Такие документы характеризуются большой разнообразностью, но содержат большое количество дублей, некачественного и бесполезного контента, который необходимо вычищать.

Относительно небольшой объем Stage 1 позволяет установить значительную долю таким высококачественным источникам, как Википедия, книги, синтетические инструкции и специализированные форумы.

При выборе весов макрогрупп мы ориентировались на четыре критерия:
1) известные распределения у сильных открытых моделей;

2) избегали чрезмерного повторения семплов в датамиксе;

3) приоритизация более высококачественных источников, таких как Википедия и книги;

4) разнообразность и качество источника, а также необходимые навыки.

Мы проводили аблейшны с различными долями макрогрупп для определения оптимальной доли кода, книг и синтетических данных.

Ребалансировка стилей документов в Common Crawl (СС)

СС содержит разнообразные документы по стилям и тематикам, но эти распределения не сбалансированы. Например, большую часть CC составляют новости и реклама — не самые полезные документы для обучения языковой модели. Мы сэмплировали документы, балансируя распределение тематик и стилей, при этом уменьшая долю малоинформативных групп.

Ребалансировка жанров книг

Среди книг доминируют жанры «Фэнтези» и «Проза», в то время как научные жанры составляют малую долю выборки. Поэтому по аналогии с CC мы ребалансировали распределение жанров, уменьшая долю доминирующих.

Значимость кодовых датасетов и связь с навыками рассуждения

Кодовые датасеты являются неотъемлемой частью любой сильной LLM. В Llama 3 доля кодовых данных составила 17% датамикса, а согласно исследованию Cohere добавление кодовых данных улучшает метрики не только на кодовых задачах, но и для любых других, требующих навыка рассуждения. Еще они пришли к выводу, что оптимальная доля кода — 25%.

В тренировочном датасете токенизатора Claude, вероятно, содержалось еще больше кодовых данных. Исследователи из Cohere с помощью атаки на токенизатор выяснили примерную долю доменов в датамиксе, и оказалось, что у модели Anthropic кодовые данные занимают больше половины датамикса! Тренировочный датасет токенизатора и самой LLM может отличаться, но обычно их делают похожими по распределению, чтобы модель эффективно «вложила» в эти токены знания.

Распределение весов доменов у различных моделей с помощью атаки на токенизаторы

Даже несмотря на то, что кодовые задачи не являются приоритетным сценарием использования для нашей модели, мы понимали необходимость улучшать пайплайн обработки кодовых данных.

Из открытых кодовых корпусов наиболее актуален The Stack v2 — примерно 900 миллиардов токенов на 600+ языках программирования. Он был использован для обучения Starcoder 2 — сильной кодовой модели своего времени. Многие опенсорс-модели продвинулись дальше в обработке кодовых данных и уже имели более сильные результаты на кодовых бенчмарках.

При дообучении базовой модели на новый язык необходимо приближать распределение и качество датасета к датасету оригинальной модели для избежания деградации в основных навыках. Если учить такую базовую модель, как Qwen-2.5, на кодовых данных хуже, чем в тренировочном датасете Qwen-а, мы рискуем ухудшить способности модели к рассуждению.

Пайплайн очистки The Stack

Создать полностью свой пайплайн сбора и очистки кодовых данных трудозатратно, поэтому нашей целью были быстрореализуемые методы фильтрации и преобразования данных для улучшения способностей к генерации кода с русскоязычными инструкциями. Мы сузили список из 600 языков программирования до 10 наиболее популярных, таких как Python, Java, C++, SQL и других, формата хранения данных JSON и языка разметки Markdown.

Мы применили Fill in the middle для кодовых данныхс вероятностью 50% по аналогии с Starcoder 2. Эта техника заключается в разбиении сэмпла на три случайные части: prefix, middle и suffix. Далее сэмпл форматируется в следующем формате:

<fim_prefix>filepath1 code1_pre<fim_suffix>code1_suf<fim_middle>code1_mid<|endoftext|>

Мы меняем местами середину и конец файла, и при обучении на следующий токен модель будет использовать контекст и префикса, и суффикса. При этом не делаем архитектурных изменений в декодере и все еще используем causal attention. Применение техники FIM позволяет улучшать навыки заполнения пропусков в коде, что полезно для кодовых ассистентов.

В статье phi-4 авторы использовали более продвинутый метод: они создали набор упражнений на восстановление осмысленной части текста, например части функции с пропущенной логикой. Логика пропущенного блока кода описывается текстом, и задача модели заключается в восстановлении кода сегмента. Такой подход позволяет создавать инструктивные пары, не требуя наличия пар контекста и верного ответа, и масштабировать его на сотни миллиардов токенов.

Для Python мы сделали этап дополнительной фильтрации. Отфильтровали все файлы с некорректным синтаксисом с помощью ast-парсинга. Большая часть таких файлов — python2-скрипты.

Мы отформатировали 80% файлов кода с помощью утилит unify, autopep8, black и isort. Так мы стандартизировали стиль и форматирование кода.

Помимо этого, использовали взвешенное семплирование. Вес семпла вычисляется из двух величин: логарифма от количества форков репозитория и средней оценки качества кода линтером.

Linter score получен из агрегации ошибок, найденных линтерами mypy, flake8, pylint с взвешиванием по типам ошибок. Например, ошибка в типе данных более критична, чем неиспользованный импорт. Метрика учитывает не только количество ошибок, но и объем файла. Метрики по файлам агрегируются в метрику по репозиторию, в результате у репозитория с более чистым кодом больше вероятность пройти этап фильтрации.

Альтернативный подход — фильтрация с помощью educational-классификаторов, например python-edu-scorer от HuggingFace. Авторы использовали LLM для оценки образовательной ценности фрагментов кода и выставляли оценку от 1 до 5. Полученные оценки были дистиллированы в легковесный классификатор, в результате предсказаний которого был получен датасет Python-Edu, использованный для обучения моделей SmolLM и SmolLM2.

Несмотря на перспективность подхода, его применение было у маленьких моделей (не более 1.7B). Такие модели могут иметь разные рецепты обучения, и не все идеи переносятся на больший размер.

Мы обратили внимание на то, что классификатор высоко оценивает короткие, чистые и простые блоки кода. Но в реальности полезный код бывает куда сложнее и менее похож на код из туториалов. В то время как для маленьких моделей резонно добавлять более простые и понятные паттерны обучения, мы не были уверены в применимости этого подхода для больших моделей. Тем не менее это интересная идея для дальнейших исследований.

Большинство написанного кода содержит англоязычные комментарии. Также такие форумы, как StackOverflow, имеют значительно большее количество контента на английском языке по сравнению с русским.

Чтобы улучшить способности понимать кодовые инструкции на русском языке, мы:

отфильтровали кодовые данные с русскоязычными комментариями и увеличили их долю в датамиксе;
перевели StackOverflow на русский язык с помощью опенсорс-моделей с сильными мультиязычными способностями;
перевели комментарии на русский для части Python-данных.

При переводе StackOverflow от модели переводчика необходимо глубокое понимание концепций кода, терминов и, естественно, хорошие мультиязычные способности.

Также необходимо контролировать «ленивость» моделей: часто на задаче перевода длинного контекста модель генерирует лишь частичный перевод.

Есть два способа бороться с проблемой: переводить только данные с небольшим контекстом (обычно не более 4000 токенов) или делить текст на чанки ограниченной длины, а после объединять переводы.

Недостаток деления на чанки — отсутствие полного контекста в запросе, который получает LLM. В некоторых случаях это может влиять на качество перевода. В промпт помимо чанка можно добавить исходный вопрос пользователя, при этом просить LLM переводить только часть текста, нивелируя проблему генерации длинного контекста.

Еще при переводе необходимо проверять специальные теги и не модифицировать код, то есть проверять, что исходный код не исказился при переводе LLM.

Одним из вариантов подобной проверки может быть такая эвристика:

проверка на зацикливание модели (симптом — если модель не сгенерировала eos-токен);
переключение на неожиданные языки (например, появление языка, отличного от исходного и от того, на который вы переводите);
совпадение количества блоков кода, элементов разметки, реплик и любых других известных элементов структуры;
значительное изменение длины переведенного текста относительно исходного;
создание blacklist-а наиболее частых фраз, не относящихся к переводу (Here is a translated text…).

Для облегчения постпроцессинга переводов можно использовать структурированную генерацию, например JSON-формат с заранее заданной схемой. LLM не всегда отвечает корректным JSON, однако в большинстве случаев этот ответ близок к корректному JSON-объекту и/или его можно восстановить с помощью специальных библиотек.

Технические детали тренировки Stage 1

Мы подготовили датасет для обучения Stage 1. Теперь перейдем к техническим деталям тренировки:

на каком оборудовании обучалась модель;
какие ключевые нюансы возникли в процессе;
с какими гиперпараметрами проводилось предобучение;
как мы оценивали результаты Stage 1.

В обеих стадиях предобучения у нас есть существенный процент данных, состоящих из сконкатенированных в один семпл коротких текстов. Это, в свою очередь, требует маскирования для разделения контекстов между текстами.

Визуализация маскирования примеров в последовательности

В статье Fewer truncations improve language modeling предложили алгоритм конкатенации семплов, минимизирующий долю обрезаемых токенов.

В претрейн-обучении для более высокой производительности не используются паддинги. Вместо этого происходит конкатенация сэмплов в последовательность фиксированной длины. Обычно порядок семплов в конкатенации никак не контролируется, и это приводит к проблеме обрезанных семплов. В результате модель обучается на неполном контексте.

В худшем случае в конец одного сиквенса может попасть текст и вопрос по тексту, а в следующий сиквенс — ответ на эту инструкцию. В результате модель будет учиться отвечать на незаданный вопрос по отсутствующему тексту, то есть галлюцинировать.

Авторы статьи предложили жадный алгоритм, который минимизирует количество обрезаний последовательностей текстов. Полное решение такой задачи является NP сложной задачей, но существуют быстрые и достаточно точные аппроксимации с временной асимптотикой O(n*log(n)). Результаты исследования показали, что меньшее количество обрезаний улучшает работу с текстом, значительно улучшает следование инструкциям и эффективно уменьшает долю галлюцинаций.

Визуализация Best-Fit Packing

Аппаратная конфигурация: обучение проводилось на H100-кластере, максимальный сетап для обучения данной модели был 256 H100 80 Gb. Использовалась технология Fully Sharded Data Parallel (FSDP) для распределенного обучения с full shard/hybrid shard стратегиями. Модели 7B и 32B достигали производительности 1 900 и 4 500 токенов/сек/GPU соответственно. В ходе обучения MFU достигал 44%.

Гиперпараметры оптимизации: мы использовали оптимизатор AdamW с параметрами β1 = 0.9, β2 = 0.95, eps = 1.0e-8. Learning rate установлен на 1e-5 с константным расписанием и разогревом в течении 10 батчей.

Параметры тренировки:

Максимальная длина последовательности: 8192.
Глобальный batch размер: 768 батчей (где 768 × 8192 = около 6 млн токенов).
Длительность тренировки: 16000 батчей.
Интервал оценки: 2000 батчей.
Количество токенов на стадии 1: до 100B, все данные уникальны.

Метрики, которые мы отслеживали в ходе обучения:

Perplexity.
Cross Entropy Loss.
ruMMLU и Mera бенчмарки.

График train loss для Stage 1. В ходе обучения возникали кратковременные всллески лосса (loss spikes), которые не привели к ухудшению метрик

Результаты MERA для Qwen-2.5-32B-it как бейзлайн для сравнения

Результаты MERA после обучения Qwen-2.5-32B-Instruct на Stage 1. Заметен прирост по MaMuRaMu (русскоязычный аналог популярного MMLU), ruCodeEval (аналог humaneval), CheGeKa, ruTiE

Мы решили использовать недавно ставшую популярной идею двухстадийного предобучения. Первая стадия содержит больше данных, в основном это веб-страницы, за счет объема и разнообразности она закладывает основные знания. Вторая стадия может быть на порядки меньше, при этом содержит более высококачественные данные, такие как инструктивные данные.

Распределение Stage 1 и Stage 2 для модели MiniCPM

Например, в модели MiniCPM в первой стадии обучения доля Common Crawl (CC) подобных данных составляет 64%, еще 25% занимает код. Во второй стадии за счет меньшего объема такие высококачественные данные, как Википедия и набор инструктивных данных, уже не размываются в общем распределении и оказывают значительное влияние на качество модели.

Двухстадийное обучение позволяет более эффективно обучать модели, демонстрируя преимущества по сравнению со стандартным одностадийным подходом. Исследования подтверждают, что этот метод приводит к улучшению метрик. Хотя на второй стадии используются инструктивные данные, частично перекрывающиеся с этапом SFT, модель, прошедшая оба этапа предобучения, показывает более высокие результаты после стадии алаймента.

Визуализация четырехстадийного обучения в SmolLM

В недавно вышедшей модели SmolLM2 и вовсе использовали четыре стадии предобучения. Свой выбор исследователи объясняют принципами:

Модель обучается с нуля и модель небольшого размера, математические навыки развиваются не сразу. Поэтому не имеет смысла значительно добавлять математические данные в первые стадии обучения.
Высококачественные данные добавляются в последние фазы обучения, поскольку таких данных меньше. Авторы стараются избегать чрезмерного повторения данных, а именно не повторять один пример более 5 раз.
В последней фазе обучения используется learning rate annealing. Как было показано в техрепорте Llama 3, этот метод отлично работает, как бы полируя накопленные знания в модели и превращает их в полезные навыки.
Датасеты средних размеров вводятся в середине обучения, чтобы избежать их размытия в наиболее крупных первых стадиях.

Стоит заметить, что предыдущие статьи описывали подход обучения с нуля, но мы собираемся дообучать открытую модель, которая уже была обучена на десятках триллионах токенов и уже обладает сильными способностями. Правда ли, что двухстадийное обучение все еще имеет смысл?

Для ответа на этот вопрос мы обратились к статье от Nvidia Reuse, Don’t Retrain: A Recipe for Continued Pretraining of Language Models. В ней авторы используют двухстадийное дообучение: на первой стадии обучают на данных, максимально похожих по распределению на данные, которые могли использоваться для обучения базовой модели, увеличивая вес у более высококачественных источников, и навыках, в которых качество модели недостаточное. Во второй стадии датамикс в основном состоит из QA-пар и диалоговых данных.

Визуализация оптимального момента переключения Stage 1 → Stage 2 в зависимости от learning rate

Авторы статьи подчеркивают, что необходимо оптимально выбирать момент переключения распределения данных и что он зависит от расписания learning rate и токен-бюджета.

В статье описываются эксперименты с разными составляющими первой стадии обучения. Оказалось, что датамикс без данных веб-страниц показал наилучшее качество, но авторы решили использовать смесь веб-данных и заапсемпленных высококачественных данных для большей стабильности.

Скейлинг допретрена. Другое интересное исследование — зависимость качества модели от токен-бюджета дообучения. Авторы статьи масштабируют свой подход от 100 миллиардов токенов до триллиона, при этом метрики растут с ростом обучающего датасета.

Эффект дообучения в зависимости от токен-бюджета

Во время обучения T-lite и T-pro мы пробовали увеличивать размер первой стадии с 100B до 500B токенов, но не получили значительного прироста, а по некоторым метрикам получили даже незначительную просадку.

Одной из гипотез является разница в распределении обучающего датасета исходной модели и нашего: в нашей модели большую часть датасета составляют русскоязычные тексты, в то время как в базовой модели их доля была значительно меньше.

При большем дообучении модель сильнее отклоняется от изначального распределения и может потерять ранее имевшиеся навыки. Кроме того, мы видели более эффективным улучшение второй стадии обучения, также как и масштабирование алайнмента стало более значимо, чем улучшения в предобучении. Поэтому для ускорения циклов экспериментов мы остановились на бюджете 100B токенов в первой стадии обучения.

Датасет второй стадии предобучения

Распределение Stage 2 по языкам

Вторая стадия обучения охватывает 40 миллиардов токенов и основана на текстах повышенного качества. В этой стадии доля английского языка существенно возрастает — до 38,1% по сравнению с первой стадией.

Увеличение обусловлено тем, что высококачественные обучающие материалы доступны преимущественно на английском языке, особенно наборы инструкций. Хотя перевод подобных датасетов на целевой язык является общепринятой практикой, он может привести к неточностям и искажениям смысла. Поэтому для достижения оптимальных результатов рекомендуется включать в обучающую выборку как переведенные материалы, так и оригинальные англоязычные тексты.

Распределение второй стадии предобучения (Stage 2) по типам источников

Stage 2 включает в себя разнообразные источники, смешивая данные, используемые на этапе предобучения и на этапе SFT. Эта стадия характеризуется более высококачественными данными, поэтому для каждого типа источников мы старались фильтровать или сбалансировать распределение данных внутри этого источника. Например, мы увеличивали долю образовательных и научных жанров книг.

СС содержит триллионы токенов, но не все из них полезные. Помимо стандартных способов очистки из CCNet pipeline можно оценивать качество данных — насколько такой пример будет полезен при обучении языковой модели.

Textbooks are all you need — статья от Microsoft, в которой они обучают классификатор образовательной ценности и фильтруют данные для предобучения.

Примеры документов высокой и низкой образовательной ценности

На основе подхода fineweb-edu мы составили промпт для оценки образовательной ценности документа.

Ниже приведено содержание веб-страницы.

Оцените, имеет ли страница высокую образовательную ценность и может ли она быть полезной в образовательной среде для обучения от начальной до средней школы, используя описанную ниже пятибалльную систему оценки. Очки накапливаются на основе удовлетворения каждого критерия:

— Добавьте 1 балл, если фрагмент содержит некоторую базовую информацию, актуальную для образовательных тем, даже если он включает в себя некоторые несущественные или неакадемические материалы, такие как рекламные материалы.

— Добавьте еще 1 балл, если фрагмент затрагивает определенные элементы, важные для образования, но не полностью соответствует образовательным стандартам.

Он может смешивать образовательный контент с необразовательным материалом, предлагая поверхностный обзор потенциально полезных тем, или представлять информацию в беспорядочной манере и несогласованном стиле письма.

— Назначьте третий балл, если фрагмент подходит для образовательного использования и вводит ключевые концепции, актуальные для школьных учебных программ.

Он согласован, хотя и может быть неполным или может включать в себя некоторую постороннюю информацию. Он может напоминать вводный раздел учебника или базовый учебник, который подходит для обучения, но имеет значительные ограничения, например обрабатывает концепции, слишком сложные для учеников начальной школы.

— Присвойте четвертый балл, если фрагмент очень актуален и полезен для образовательных целей для уровня не выше начальной школы, демонстрируя четкий и последовательный стиль письма.

Он может быть похож на главу из учебника или учебник, предлагающий значительный образовательный контент, включая упражнения и решения, с минимальным количеством несущественной информации, и концепции, не слишком сложные для учеников начальной школы. Контент согласован, сфокусирован и ценен для структурированного обучения.

— Предоставьте пятый балл, если фрагмент выдающийся по своей образовательной ценности, идеально подходит для обучения в начальной или средней школе.

Он следует подробному обоснованию, стиль письма легко следовать и предлагает глубокие и тщательные знания по предмету, не содержащие никаких необразовательных или сложных материалов.

Материал: {}.

После рассмотрения материала:

— Кратко обоснуйте свой общий балл, до 100 слов.

— Закончите с оценкой в формате: «Образовательный балл: <общий балл>»

Получив 10 000+ размеченных документов из СС с помощью модели-оракула, мы обучили BERT-like-модель на задачу многоклассовой классификации. Далее использовали обученный классификатор для предсказаний образовательной ценности по всем веб-документам. В Stage 2 оставили только те документы, которые получили 3 балла или выше.

Фильтрация «мета»-документов. В результатах отфильтрованных данных мы обнаружили много примеров, которые можно отнести к образовательным. Однако некоторые примеры не содержали полезной нагрузки, а были лишь «мета»- информацией — например, описание учебника, оглавление, описание образовательного товара и так далее. Для фильтрации «мета»-документов мы обучили fasttext-классификатор на основе разметки из нескольких тысяч документов.

Ранее были попытки обучать языковые модели на курируемых высококачественных датасетах. Например BERT обучался на текстах из Википедии, датасет Pile содержал различные источники: книги, научные статьи — и использовался для обучения GPT-J. Но позже RefinedWeb показали, что использование только данных из СС позволяет превзойти курируемые датасеты при грамотном пайплайне очистки данных.

Применение классификаторов качества вносит определенное смещение в оригинальное распределение данных и является спорным вопросом. Refined Web избегают использования классификаторов и полагаются только на эвристики для очистки данных. Тем не менее многие передовые LLM в том или ином виде используют классификаторы качества. Результаты fine-web-edu показывают, что фильтрация по образовательной ценности увеличивает метрику на MMLU-бенчмарке, делая обучение более эффективным. Мы обнаружили похожий эффект при использовании нашего классификатора качества данных.

В нашем случае фильтрация по образовательной ценности привела к смещению тематик и стилистик документов: чаще стали появляться образовательные статьи. Для сохранения высокой разнообразности мы применили более агрессивную ребалансировку по сравнению с первой стадией дообучения. К тому же фильтрация по образовательной ценности значительно уменьшает размер тренировочной выборки. Так, образовательную оценку от 3 баллов получило только 22% исходных документов, а выше 4 баллов — только 6% документов. Объем русскоязычных данных в СС сильно меньше англоязычных, это может быть проблемой для обучения больших языковых моделей с нуля, но имеет существенно меньшее влияние на вторую стадию из-за меньшего токен-бюджета.

Книги — один из наиболее богатых источников качественных данных. Для получения данных из книжек мы использовали источники открытых библиотек и OCR-пайплайн распознавания контента из .pdf- и .djvu-файлов.

В итоге мы получили больше 30 тысяч документов на русском языке. Распознанные документы могут содержать артефакты, особенно в структурированных данных типа таблиц. Для улучшения качества документов мы разработали refine-пайплайн, используя большие открытые языковые модели, так как эмпирически выяснили, что они хорошо справляются с такими задачами, как исправление ошибок в LaTeX-формулах, таблицах, опечатках и других небольших искажениях текста после распознавания. Как и в пайплайнах выше, длинные документы чанковались по эвристике, оставляя контекст до 2 тысяч токенов во избежание «оптимизации» текста моделями, после чего возвращались в исходную структуру.

Рефайн состоял из нескольких последовательных вызовов с шагами рефлексии на основании вывода формальных парсеров, чтобы увеличить долю корректных чанков и, как следствие, документов. Как и для СС, применялись классификаторы определения языка, тематик, стиля и образовательной ценности контента с последующей фильтрацией. Дополнительно очистили артефакты markdown’а, оглавлений и повторяющихся элементов.

Математические навыки — ключевые для развития способностей к рассуждению. Последний год создатели передовых LLM пытались улучшить значения математических бенчмарков, направив свои усилия на создание масштабных и высококачественных математических корпусов. Например, доля математических данных и данных, связанных с рассуждениями, в Llama 3 составляет 25%!

Помимо образовательных русскоязычных учебников по STEM-предметам мы перевели такие англоязычные ресурсы, как Math StackExchange. Этот источник — QA-форум по различным математическим тематикам с системой голосования за более качественные ответы. Наличие тегов позволяет балансировать датасет по охватываемым тематикам, а реакции пользователей — выбирать наиболее интересные вопросы и полные ответы.

Другой подход сбора математического корпуса — фильтрация математических документов из веб-страниц CommonCrawl. Один из таких корпусов — OpenWebMath, состоящий из почти 15B токенов. Префильтрация осуществляется за счет классификатора, обученного на определение схожести страницы на математический контент. Источниками тренировочных данных для такого классификатора являлись домены известных математических крупных сайтов.

Пайплайн сбора математического корпуса OpenWebMath

Мы также перевели OpenWebMath на русский язык и добавили в датамикс обучения.

Альтернативным решением является повторение методологии OpenWebMath для русскоязычных страниц CC. Из недостатков корпуса OpenWebMath можно выделить достаточно низкое качество некоторых документов, связанное с ошибками парсинга или очистки.

Стоит обратить внимание на интересное исследование GAIR Lab, в ходе которого обучили небольшую языковую модель (SLM) для улучшения контента документа. Языковая модель генерирует вызов заранее заданных правил: оставить или удалить целый документ, удалить набор строк или нормализовать строку. Даже такого ограниченного набора правил хватило, чтобы значительно улучшить качество документов и получить прирост на бенчмарках. Авторы выложили датасет OpenWebMath-Pro на huggingface.

Programming every example: LIFTINGlifting data quality like experts at scale

Исследование продемонстрировало эффективность применения моделей машинного обучения (SLM) на этапах предварительной очистки массивных текстовых корпусов с высоким уровнем шума, таких как Common Crawl, архивы форумов, научные публикации и программный код. Генерируемые с помощью SLM эвристики демонстрируют существенно большую гибкость по сравнению с традиционными правилами, которые были разработаны и верифицированы вручную в существующих системах очистки данных (Gopher, CCnet, RefinedWeb и других).

Хотя использование SLM требует значительно больших вычислительных ресурсов по сравнению с применением простых эвристик, эта технология не заменяет традиционные методы полностью, а служит дополнительным инструментом для повышения качества очистки данных.

Параллельные данные представляют собой пары соответствующих друг другу текстов или предложений на разных языках, которые используются для улучшения качества машинного перевода (MT) языковых моделей.

Исследование Alma продемонстрировало, что даже небольшой объем параллельных данных в сочетании с дообучением на целевом языке значительно повышает качество перевода. Основываясь на этих результатах, мы включили в наш датасет параллельные данные из открытых источников, таких как xP3x и Aya Dataset. Дополнительно обогатили данные переводами инструктивных пар с английского на русский, специально собранными для расширения русскоязычной составляющей тренировочного набора данных.

Инструктивные данные — важная составляющая второй стадии обучения. Они отличаются по формату от обычных данных для предобучения, поскольку состоят из нескольких реплик с разными ролями, в то время как данные предобучения — просто сплошной текст. Мы смешиваем инструктивные и обычные данные предобучения, а для инструктивных данных применяем все по аналогии с SFT-обучением: чат теплейт, маскирование лосса для запроса пользователя.

Fun fact: баг с токенизацией, который мы нашли не сразу

Хотя токенизация данных с помощью библиотеки transformers обычно выполняется одним вызовом функции, подготовка токенизированных инструктивных диалогов требует более сложного подхода. Основная причина заключается в особенностях работы функции tokenizer.apply_chat_template(), которая не формирует тензор меток (labels) автоматически.

При обучении модели на диалогах необходимо правильно настроить маску потерь (loss mask), чтобы модель училась только на ответах ассистента. Для этого требуется токенизировать каждую реплику диалога отдельно и вручную присваивать метки: −100 для реплик пользователя и системных сообщений (чтобы исключить их из расчета функции потерь) и фактические значения токенов для ответов ассистента.

Такой подход позволяет корректно обучать модель, фокусируясь только на генерации ответов ассистента и игнорируя остальные части диалога при вычислении потерь.

Наш код:

python
result_tokens = []
enable_loss = []

for msg in chat:
   templated_msg = self.tokenizer.apply_chat_template([msg], tokenize=False,
                                                      chat_template=chat_template,
                                                      add_generation_prompt=False)
   templated_msg = self.remove_eos_and_bos(templated_msg)
   msg_tokens = self.tokenizer(templated_msg, truncation=False, padding=False, add_special_tokens=False)[
       'input_ids']
   result_tokens += msg_tokens
   fill = 0 if msg.get('disable_loss') else 1
   enable_loss += [fill] * len(msg_tokens)

result_tokens = self.bos_tokens + result_tokens + self.eos_tokens
if self.bos_tokens:
   enable_loss = [1] + enable_loss
enable_loss = enable_loss + [1]

При переходе с модели Gemma-2 на Qwen-2.5 мы столкнулись с неочевидной проблемой токенизации, которая привела к деградации метрик. Корень проблемы заключался в различиях chat template между моделями.

Особенность токенизатора Qwen-2.5 в том, что он всегда добавляет системное сообщение в диалог, даже если его нет в исходных репликах. В нашем коде мы вызывали функцию apply_chat_template для каждой реплики отдельно, что приводило к многократному добавлению дефолтного системного промпта в токенизированные данные. При этом на бенчмарках использовался стандартный подход с единым вызовом apply_chat_template для всего диалога. Расхождение между форматами обучения и инференса привело к снижению качества модели. Хотя падение производительности оказалось менее критичным, чем обычно наблюдается при ошибках токенизации, это затрудняло своевременное обнаружение бага.

Этот опыт позволил сделать важные выводы:

Необходимо тщательно тестировать код токенизации, поскольку ошибки в нем могут иметь серьезные последствия для качества модели.
При интеграции новых моделей критически важно детально изучать их chat template. Поскольку шаблоны реализованы на языке Jinja, который предоставляет большую гибкость, единого стандарта для них не существует.
Любые модификации стандартного процесса токенизации требуют особенно тщательной проверки и валидации.

Мы собрали открытые инструктивные датасеты с huggingface по различным доменам:

General (OpenAssistant, WildChat, Synthetic LMSys-Chat-1M, UltraFeedback, OpenHermes-2.5, capybara, InfinityInstruct, Magpie-Ultra, neo_sft_phase2, tulu v3.1 mix, Synthia).
Knowledge (Flan v2, WebInstructSub, Dolphin).
Math (Numina-CoT, MetaMathQA, MathInstruct, TemplateGSM).
Reasoning (Numina-TIR, OpenPlatypus).
Code (Self-OSS-Instruct-SC2, Evol CodeAlpaca, OASST-Code-Octopack, CommitPackFT).
IF (ifeval-like, SystemChat).
Multilingual (xP3x, Aya).

Англоязычные датасеты перевели на русский язык с помощью открытых LLM. Набор промптов инструкций почти полностью пересекается с SFT-сетом, но отличается большим объемом за счет менее строгих критериев качества и фильтрации.

Поскольку многие источники инструкций содержат пересекающиеся наборы промптов, необходимым этапом подготовки является глобальная дедупликация всех инструктивных данных. Мы использовали LSH-дедупликацию для минимизации количества дублей в тренировочном датасете.

Генерация синтетических инструктивных данных — популярный подход как для обогащения и формирования датамиксов предобучения, так и для получения SFT-like инструктивных данных.

Одним из известных примеров синтетического корпуса предобучения является Cosmopedia. Суть подхода состоит в том, чтобы на основании отрывка веб-страницы и выбранных высококачественных источников сгенерировать длинный текст, расширяющий контекст данного отрывка, а вариативность достигается с помощью применения разных стилей.

MAmmoTH2: Scaling Instructions from the Web

Наш пайплайн

Подход Cosmopedia лишь частично обусловлен по данному на вход контексту, но без ограничений генераций на внесение дополнительной информации как на уровне промптинга, так и на уровне фильтраций в постпроцессинге такой подход может приводить к галлюцинациям.

Мы решили больше концентрироваться на второй стадии пайплайна обучения и инструктивных данных в ней, потому что она меньше по объему, содержит более высококачественные данные и больше влияет на финальное качество модели. Основная проблема, с которой мы столкнулись во время сбора инструктивных датамиксов, — отсутствие качественных и достаточно больших датасетов на русском языке, а существующие недостаточно покрывали common knowledge будучи в большей степени переводами соответствующих англоязычных источников. Мы рассматривали два варианта получения синтетики:

перевод, как и с открытыми наборами данных;
генерация синтетических инструктивных и question answering (как отдельный вид инструкций) пар, обусловленных на некоторый контекст.

Первый подход применялся на формализуемых доменах, таких как математика. Как и в случае кодовых наборов данных, перевод проводился большими открытыми языковыми моделями с последующей фильтрацией по эвристикам. Отличие заключалось в дополнительном шаге — проверке совпадения блоков LaTeX / MathJax.

Важно, что доменно специфичные термины часто искажаются при подобном подходе, но неточности языка в нашем случае в последующем выравниваются на post-training-стадиях.

В качестве источника формирования инструктивных пар рассматривались поддомены StackExchange с фильтрацией по частотным тэгам, голосам как вопроса, так и комментариев.

В случае с математическим доменом дополнительно сформировали blacklist тегов, покрывающих узкоспециализированные тематики, где перевод терминов был наиболее неточный и плохо верифицируемый. Брались только данные, теги которых покрывают 90% запросов пользователей, пост и комментарии к нему должны были быть оценены минимум одним пользователем. Итоговая пара «запрос — ответ» формировалась по правилу: ответ, который принят инициатором треда и автоматически считается верным, и ответ с самым высоким рейтингом, если он отличен от принятого.

Генерация синтетических инструктивных данных стала достаточно популярной после выхода статьи, описывающей Self-Instruct-подход. Он без дополнительных ограничений склонен вырождаться, и полученный датасет может обладать малым разнообразием, более того, как и в случае с Comopedia, никак не ограничиваются галлюцинации.

Чтобы побороть эти две основные проблемы, мы, опираясь на работы MAmmoTH2: Scaling Instructions from the Web и Nemotron-4 340B Technical Report, использовали подмножество сбалансированных СС-данных с метрикой образовательной ценности большей или равной 4, и книги с образовательной ценностью как минимум 3 в качестве контекста для генерации. Далее для фиксированного чанка контекста генерировалась пара «инструкция — ответ» и список вопросов и ответов, опирающихся на текст, что ограничивалось напрямую в затравке наряду с образовательной ценностью сгенерированного ответа.

Следующим этапом пайплайна стала фильтрация данных на основе оценки их согласованности с контекстом и корректности с точки зрения языковой модели. Использование абстрактных шкал оценивания на этом этапе приводило к тому, что калибровку порога оценки необходимо было производить для каждой модели, что в общем случае не масштабируемо. Мы пришли к списку бинарных критериев. В итоге доля синтетических данных в первой стадии дообучения составила 5,7% и 4,7% — во второй.

Технические детали второй стадии предобучения

Мы описали особенности сбора датасета обучения для второй стадии предобучения. Перейдем к описанию технических деталей обучения.

Инструктивные маски. Во второй стадии в датамиксе появляются инструктивные данные, состоящие из запроса пользователя и ответа ассистента. Для таких данных мы маскировали loss для токенов, соответствующих запросу, и учили модель только на токенах ответа так же, как это делают при SFT-обучении.

Аблейшны показали эффективность этого метода. Маскирование промпта способствует тому, что модель лучше фокусируется на выполнении задачи, снижая риск переобучения на некачественные или дублирующиеся запросы. При этом ответы в инструктивных датасетах, как правило, являются сгенерированными и проходят контроль качества, в отличие от исходных пользовательских запросов.

Пример маскирования инструкции

Помимо маскирования промта существуют подходы смешанного маскирования, например с использованием Prompt Loss Weight. Увтерждается, что на датасетах с короткими генерациями использование ненулевого PLW превосходит стандартное SFT-like-обучение с полным маскированием промптов. Но для длинных генераций эффект нивелируется.

Стоит отметить, что многие инструктивные задачи, такие как Natural Language Instruction, имеют короткие ответы. Мы не пробовали этот подход, но он выглядит перспективным. Необходимо следить не только за распределением общей длины инструктивных примеров, но и за соотношением длинных и коротких промптов и генераций.

Мы использовали те же гиперпараметры оптимизации, что и в Stage 1. Единственное отличие — расписание learning rate. После разогрева learning rate достигает 1e-5 и постепенно затухает до 1e-6 (alpha_f = 0.1).

Параметры тренировки:

Максимальная длина последовательности: 8192.
Глобальный batch размер: 768 батчей (где 768 × 8192 = около 6 млн токенов).
Длительность тренировки: 6500 батчей.
Интервал оценки: 2000 батчей.
Количество токенов на стадии 2: до 40B (20/40), где 1 эпоха — 20B.

Метрики:

График Train loss для Stage 2

Результаты на MERA после обучения Stage 2

После Stage 2 значимый прирост наблюдается в следующих бенчмарках: USE (ЕГЭ), RWSD, MultiQ (multi-hop QA), CheGeKa, математических ruMultiAr и MathLogicQA.

Как видно по результатам замеров, претрейн-чекпоинт получает даже больший результат, чем T-pro-it-1.0 (то есть заалайненная модель). Заметим, что при составлении SFT-сета главной целью было развитие диалоговых способностей модели, что может отражаться на бенчмарках, нацеленных на знания модели.

На прощание

Мы подробно раскрыли процесс предобучения наших моделей T-lite и T-pro, сосредоточившись на детальном описании каждого этапа: от подготовки данных до финальных экспериментов.

Наш опыт показывает, что гибридный подход позволяет значительно сократить вычислительные затраты при сохранении высокого качества моделей. Обучение на сотнях миллиардов токенов оказывается достаточным для существенного улучшения способностей модели в работе с русским языком, при этом позволяя сохранить преимущества базовой архитектуры и знания, заложенные в исходной модели.

В следующей статье мы планируем раскрыть особенности этапа post-training, который включает SFT и alignment.

P.S. Спасибо всей команде, которая помогла этой статье быть: Оле Цымбой, Мише Гашкову, Герману Абрамову и Толе Потапову.

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ICO

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Дата

12 мар. 2025 г.

19.04.25 02:00 [email protected]

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01.05.25 20:59 elizabethrush89

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03.05.25 05:01 melissaholroyd

"The breakthrough came when they traced the stolen BTC to a lesser-known Pakistani exchange. By collaborating with Interpol and Pakistani authorities, they managed to freeze the exchange account that held the bulk of my stolen coins. Although 0.3 BTC had already been liquidated, 3.2 BTC ($128,000) was successfully recovered and returned to me within 12 days. As for the people behind the scam, the click farm’s operators are now facing fraud and money laundering charges. I’m incredibly grateful for the hard work of Tech Cyber Force Recovery. They didn’t just help me recover my funds, they sent a clear message that scams like this won’t go unpunished. It’s a reminder that while the crypto space can be risky, there are Tech Cyber Force recovery teams out there who will fight to bring justice. WhatsApp +1 561 726 36 97 telegram (@)Techcyberforc
03.05.25 12:24 ratty clara

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08.05.25 03:35 jwright70

At FUNDS RETRIEVER ENGINEER, we specialize in the swift and efficient recovery of stolen or lost cryptocurrencies. Our team of seasoned cybersecurity experts, blockchain analysts, and digital forensics professionals employ state-of-the-art technology and innovative strategies to trace, identify, and reclaim your assets. We’re dedicated to helping individuals and organizations recover stolen cryptocurrencies and digital assets. Our team of expert cyber security specialists, cryptocurrency recovery specialists, and digital forensic analysts work tirelessly to track, recover, and secure your stolen assets. Visit us W H A T S A P P: +1 8 0 2 9 5 2 3 4 7 0 EmaIL F U N D S R E T R I E V E R [@] E N G I N E E R. C O M OR S U P P O R T @ F U N D S R E T R I E V E R [@] E N G I N E E R. C O M WEBSITE https://fundsretrieverengineer.com
13.05.25 19:18 canemarcus0

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13.05.25 19:24 graceharrison09

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13.05.25 19:26 John Willis

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13.05.25 20:21 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
13.05.25 20:21 wendytaylor015

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14.05.25 14:45 Clarkanderson

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14.05.25 14:45 Clarkanderson

BITCOIN RECOVERY HELP GO TO ULTIMATE HACKER JERRY
14.05.25 14:45 Clarkanderson

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16.05.25 14:18 patricialovick86

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16.05.25 14:18 patricialovick86

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17.05.25 18:33 marywilliam3544

A few months ago, I became a victim of a crypto scam that cost me more than $42,000. It started with what looked like a legitimate investment opportunity on social media. The platform was well-designed, the “advisors” sounded experienced, and the returns they promised seemed realistic at the time. I did some quick research, saw fake positive reviews, and decided to give it a try.At first, everything seemed to go smoothly. I deposited small amounts and saw returns in my account almost immediately. Encouraged, I added more—until I realized I could no longer withdraw anything. The site shut down, the contact numbers went dead, and the people I had spoken to disappeared. That’s when it hit me—I had been scammed.I was embarrassed, angry, and honestly, heartbroken. I didn’t think there was any way to get the money back. My bank couldn’t help, the police didn’t have any tools for crypto tracing, and I felt completely stuck. Then, a friend referred me to PRO WIZARD GILBERT RECOVERY. I was hesitant at first, but after speaking with one of their recovery specialists, I felt a sense of hope I hadn’t felt in weeks. They were incredibly professional, didn’t make any exaggerated claims, and explained their process clearly.The team began working right away using advanced blockchain forensics to trace the stolen funds. Within a few days, they located the wallets that received my funds and started the legal steps necessary to flag and recover the crypto. I was blown away by how thorough and efficient they were After several weeks of careful investigation and coordination, PRO WIZARD GILBERT RECOVERY successfully recovered nearly 75% of my lost funds. I couldn’t believe it. I went from thinking that money was gone forever to having it returned to me—and all thanks to their dedication and expertise.If you’ve lost money to a crypto scam, I can’t recommend PRO WIZARD GILBERT RECOVERY enough. They’re the real deal. Professional, honest, and relentless in fighting for their clients. Thanks to them, I’ve not only recovered most of what I lost, but I’ve also regained peace of mind. CONTACT INFO=====WhatsApp +1 (920) 408‑1234 TELEGRAM====== http s:// t. me/Pro_Wizard_Gilbert_Recovery EMAIL========== pro wizard gilbert recovery (@) engineer. com
19.05.25 05:42 kylebro

It’s been hard losing a lot of my money to these companies. I found a crypto Recovery Agent,VIA Email:( [email protected] ) who made sure I got back everything. If your case is similar, you can consult them on how to get your money back. Whats app or text : +1 949 245 7617 Telegram : @dawsonwright Website : bestrecoveryagent.com
20.05.25 11:40 robertalfred175

CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
20.05.25 11:40 robertalfred175

CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
26.05.25 17:55 Juliuslaurence1

It started as an ordinary Tuesday. I was transferring 5 BTC my life savings at the time to a new cold wallet for better security. My fingers moved swiftly, copying the address, pasting it, and hitting Send without a second thought. Then ,the horrow struck.A split second after the transaction confirmed, I realized I had pasted the wrong address. A typo. One wrong character. My stomach twisted into knots as I watched my Bitcoin disappear into the blockchain abyss, headed to an address I didn’t recognize. Panic set in. 5 BTC. Over $300,000 at the time. Gone. I spent sleepless nights scouring forums, reaching out to blockchain experts, even pleading with miners but the immutable nature of Bitcoin meant no one could reverse it. The address was active, but the owner? Unknown. Then, I stumbled upon Washington Recovery Pro, a firm specializing in cryptocurrency transaction reversals and asset recovery. Skeptical but desperate, I reached out. Their team, led by a seasoned blockchain investigator named Marcus, took my case. They explained that while Bitcoin transactions are irreversible, if the recipient is identifiable, recovery is possible through negotiation or legal pressure. Using on-chain forensics, they traced the mistaken transaction to a crypto exchange wallet meaning the recipient had likely cashed out or moved the funds. Washington Recovery Pro contacted the exchange, providing irrefutable proof of the erroneous transfer. After weeks of pressure, the exchange froze the funds and initiated a recovery process. two weeks after my heart-stopping mistake, I received an email: Your 5 BTC has been recovered and will be returned to your wallet. I couldn’t believe it. Washington Recovery Pro had done the impossible. My Bitcoin was saved, but not by luck by skill, persistence, and legal expertise. If you ever face a similar nightmare, remember: some mistakes can be undone. Email: [email protected]: +1 (903) 249‑8633‬
30.05.25 05:03 kevinpatmore2

Good day everyone, some statements people make may appear unbelievable, yet they reflect their truth due to their personal experiences. I'm a truck driver and I enjoy playing the lottery, but it's been 8 years without winning anything significant. I became upset over this and chose to seek help online from anyone skilled in using spells to win the lottery since my grandma had faith in spells and a story about Lord Meduza spells drew my interest. I obtained his contact information, and we discussed all aspects of how he could assist me. In less than 72 hours, Lord Meduza provided me with the lottery numbers I required after he completed the spell for me. I purchased my ticket online, followed the guidance of Lord Meduza, and now my life is fortunate because I won a $42.5 million Jackpot in the lottery I participated in. I’m thankful to Lord Meduza because he truly keeps his promises and I will donate $1 million to the orphanage homes in my city. Email: [email protected] or WhatsApp +18079072687.
01.06.25 17:55 springthorpecameron5

After losing $153,000 to a fake investment platform on Telegram, I found myself under immense pressure due to both the financial loss and my ongoing cancer treatment. Desperate to recover my stolen cryptocurrency, I researched viable options and discovered Ruder Cyber Tech Sleuths, a registered Bitcoin and USDT Recovery Agency with a strong reputation. Their impressive record of successful recoveries and positive reviews gave me hope. Despite my initial doubts, reaching out to them was a pivotal moment in my recovery journey. The process was complex, but their dedication, advanced technology, and professionalism were evident. I highly recommend their services to anyone who has fallen victim to scams. Ruder Cyber Tech Sleuths are truly exceptional and provide hope in an often dishonest world. [email protected] [email protected] whatsapp: +12132801476 Telegram : @rudercybersleuths
02.06.25 16:01 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
02.06.25 16:01 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
03.06.25 22:21 [email protected]

When I lost $120,000 to obvious price manipulation on a shady derivatives platform, I felt a mix of disbelief and frustration. I had been drawn to this platform by promises of high returns and innovative trading features that seemed too good to be true. Initially, everything appeared to be going well, and I was excited about the potential profits. However, it didn’t take long for me to notice some alarming signs. As I continued to trade, I began to see unusual price fluctuations that didn’t align with the broader market trends. It was as if the platform was orchestrating these movements to manipulate prices in their favor. Despite my growing suspicions, the allure of quick profits kept me engaged. I convinced myself that I could navigate the volatility and come out ahead. Unfortunately, that was a grave mistake. I suffered a significant loss, which wiped out a substantial portion of my investment. It was a gut-wrenching moment, and I felt utterly defeated. In my desperation, I reached out to Web-site: www://trustgeekshackexpert.com/ --- (Email: [email protected]] a firm that specializes in recovering lost funds from fraudulent platforms. I hoped they could help me reclaim at least a portion of my losses.[TRUST GEEKS HACK EXPERT] was incredibly supportive and trustyworthy. They conducted a thorough investigation into the platform’s operations and quickly uncovered the truth was the exchange was fake and designed to exploit unsuspecting traders like me. [TRUST GEEKS HACK EXPERT] revealed that the operators had created a façade of legitimacy, complete with fake testimonials and misleading marketing strategies, to lure in victims.With the evidence gathered by [TRUST GEEKS HACK EXPERT], they took decisive action. They traced my lost funds to the operators’ cold wallets, which are typically used to store cryptocurrencies securely offline. This was a crucial step, as it allowed [TRUST GEEKS HACK EXPERT] to pinpoint where my stolen funds were held. Through a combination of legal pressure and technical expertise, they managed to negotiate the return of $95,000 to me a significant portion of my initial loss.This has been a stark reminder of the risks associated with trading on unregulated platforms. Thanks to [TRUST GEEKS HACK EXPERT], I learned the hard way that it’s essential to conduct thorough research before engaging with any trading service. I now recognize the signs of potential fraud, such as unrealistic profit promises and a lack of transparency. The successful recovery of my funds by [TRUST GEEKS HACK EXPERT]
06.06.25 18:43 jack67667766

Jasmine Lopez is an expert in retrieving stolen cryptocurrency, including Ethereum and USDT. Her effective methods make her a reliable ally for theft victims. One client, who lost €908,000, sought her assistance, and Jasmine managed to recover the full amount within a day, bringing immense relief to the client. Jasmine is dedicated to helping others in similar situations and is available to offer support. For help with recovering lost funds, you can contact her via email at [email protected] or on WhatsApp at ‪+44 736 644 5035‬.
08.06.25 12:49 jack67667766

Jasmine Lopez es una experta en recuperar criptomonedas robadas, como Ethereum y USDT. Ella usa métodos efectivos que la hacen una buena ayuda para quienes han sido víctimas de robo. Un cliente que perdió 908 mil euros acudió a ella, y en un día, Jasmine logró devolverle toda la cantidad. Esto trajo gran alivio al cliente. Ella tiene como objetivo ayudar a otros en situaciones similares y está lista para ofrecer apoyo. Si necesitas ayuda para recuperar fondos perdidos, puedes contactarla por correo electrónico en [email protected] o por WhatsApp al número ‪+44 736 644 5035‬.
09.06.25 19:49 garnierroux

CRYPTO RECOVERY COMPANY: CONTACT iBOLT CYBER HACKER RECOVERY COMPANY I was a victim of a cryptocurrency scam and thought I had lost everything. After doing some research, I came across iBOLT CYBER HACKER RECOVERY COMPANY and decided to give them a try. To my surprise, they were extremely professional, responsive, and knowledgeable from the start. Their team worked diligently to trace the stolen funds, and within a short time, they were able to recover a significant portion of my lost crypto. I couldn’t believe it — something I thought was gone forever was returned to me. If you've lost money to a crypto scam, I highly recommend contacting iBOLT CYBER HACKER RECOVERY COMPANY. They truly deliver on what they promise. — Satisfied Client . EMAIL: [email protected]/ . WHTSAPP: +39 351 105 3619 . TELEGRAM: t.me/iboltcyberhackservice . WEBSITE: https://iboltcyberhack.org/
21.06.25 04:37 jamesgrant

The emergence of cryptocurrencies has revolutionized the financial landscape, yet it has also given rise to significant challenges, particularly concerning security and the potential for loss of assets. In this context, individuals often seek assistance from entities called SCANNER HACKER CRYPTO RECOVERY, which purport to employ sophisticated techniques to reclaim lost Bitcoin (BTC) from compromised wallets or exchanges. However, while the allure of recovering lost assets can be compelling, it is imperative to approach these services with a critical lens. The cryptocurrency ecosystem is rife with scams and fraudulent schemes, ranging from phishing attacks to outright theft; thus, due diligence is paramount. Scholars and practitioners in the field must advocate for more robust security measures, educate stakeholders on the inherent risks of cryptocurrency ownership, and promote best practices in digital asset management to mitigate the likelihood of loss. Furthermore, effective policymaking to regulate these recovery services, hold malicious actors accountable, and protect consumers is essential to fostering a safer environment in the rapidly evolving world of digital currencies. You can communicate with SCANNER HACKER CRYPTO RECOVERY Via Email: [email protected] Web: https://scannerhacktech.com/ Whatsapp: +1 431 801 7493
23.06.25 15:44 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] Capital Crypto Recover on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1
23.06.25 15:44 michaeldavenport218

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24.06.25 04:10 Beth Wilson

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24.06.25 04:10 Beth Wilson

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24.06.25 04:10 Beth Wilson

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24.06.25 04:10 Beth Wilson

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24.06.25 04:12 Beth Wilson

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24.06.25 04:14 Beth Wilson

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24.06.25 04:14 Beth Wilson

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24.06.25 04:18 Beth Wilson

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24.06.25 04:23 Beth Wilson

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25.06.25 22:56 rennebrandon

I am forever grateful to the amazing team at Dune Nectar Web Expert. They did what I thought was never possible. They played a crucial role in helping me recover all my lost funds from a fraudulent forex and crypto trading scheme, including the pråofits I thought I'd earned. Looking back, I realize I was a bit of a fool for trusting greedy and deceitful brokers with my hard-earned money. However, I'm overjoyed that I found Dune Nectar Web Expert. They are a team of honest and highly skilled professionals available for hire. Dune Nectar Web Expert helps individuals and organizations recover stolen cryptocurrencies and digital assets. They helped me heal every penny I lost and provided me with the right signals and a reliable platform to trade with. Thanks to Dune Nectar Web Expert, I'm earning more than ever, and I couldn't be happier. That's why I can't stop sharing my positive experience and praising their amazing services and expertise. If you're still struggling with failures in binary options, crypto, or forex trading, or if you're looking to recover your lost USDC, Bitcoin, Ethereum, or other crypto funds, I strongly advise you to reach out to: Telegram>>> ( T.me/dunenectarwebexpert ) Mail>>>> Support (@) Dunenectarwebexpert (.) Com Web>>> https://dunenectarwebexpert.com/
26.06.25 20:33 paulmargaret

Dear Wizard Hilton Cyber Tech Team, I am writing to express my heartfelt gratitude and appreciation for your exceptional service in recovering my scammed funds. After falling victim to a scam and experiencing numerous disappointments, I was amazed by your team's professionalism, expertise, and dedication to helping me retrieve my lost money. Your prompt response and efficient handling of my case were truly impressive. Within 24 hours, you successfully recovered my funds, and I was overjoyed to see the money safely returned to my account. Your team's commitment to helping individuals like me, who have been scammed, is truly commendable. Your work not only restored my financial security but also gave me peace of mind and renewed trust in the digital world. I would like to highly recommend your services to anyone who has been a victim of scams or cybercrime. Your expertise and support can make a significant difference in recovering lost funds and navigating complex digital situations. Thank you again for your outstanding work and dedication. I am grateful for your help and wish you continued success in your endeavors Email : wizardhiltoncybertech ( @ ) gmail (. ) com OR support ( @ ) wizardhiltoncybertech (.) com WhatsApp number +18737715701 . Sincerely, Kimberly Williams
27.06.25 00:46 paulmargaret

Dear Wizard Hilton Cyber Tech Team, I am writing to express my heartfelt gratitude and appreciation for your exceptional service in recovering my scammed funds. After falling victim to a scam and experiencing numerous disappointments, I was amazed by your team's professionalism, expertise, and dedication to helping me retrieve my lost money. Your prompt response and efficient handling of my case were truly impressive. Within 24 hours, you successfully recovered my funds, and I was overjoyed to see the money safely returned to my account. Your team's commitment to helping individuals like me, who have been scammed, is truly commendable. Your work not only restored my financial security but also gave me peace of mind and renewed trust in the digital world. I would like to highly recommend your services to anyone who has been a victim of scams or cybercrime. Your expertise and support can make a significant difference in recovering lost funds and navigating complex digital situations. Thank you again for your outstanding work and dedication. I am grateful for your help and wish you continued success in your endeavors Email : wizardhiltoncybertech ( @ ) gmail (. ) com OR support ( @ ) wizardhiltoncybertech (.) com WhatsApp number +18737715701 . Sincerely, Kimberly Williams
27.06.25 22:31 rennebrandon

I am forever grateful to the amazing team at Dune Nectar Web Expert. They did what I thought was never possible. They played a crucial role in helping me recover all my lost funds from a fraudulent forex and crypto trading scheme, including the pråofits I thought I'd earned. Looking back, I realize I was a bit of a fool for trusting greedy and deceitful brokers with my hard-earned money. However, I'm overjoyed that I found Dune Nectar Web Expert. They are a team of honest and highly skilled professionals available for hire. Dune Nectar Web Expert helps individuals and organizations recover stolen cryptocurrencies and digital assets. They helped me heal every penny I lost and provided me with the right signals and a reliable platform to trade with. Thanks to Dune Nectar Web Expert, I'm earning more than ever, and I couldn't be happier. That's why I can't stop sharing my positive experience and praising their amazing services and expertise. If you're still struggling with failures in binary options, crypto, or forex trading, or if you're looking to recover your lost USDC, Bitcoin, Ethereum, or other crypto funds, I strongly advise you to reach out to: Telegram>>> ( T.me/dunenectarwebexpert ) Mail>>>> Support (@) Dunenectarwebexpert (.) Com Web>>> https://dunenectarwebexpert.com/
28.06.25 00:46 patricialovick86

How To Recover Your Bitcoin Without Falling Victim To Scams: A Testimony Experience With Capital Crypto Recover Services, Contact Telegram: @Capitalcryptorecover Dear Everyone, I would like to take a moment to share my positive experience with Capital Crypto Recover Services. Initially, I was unsure if it would be possible to recover my stolen bitcoins. However, with their expertise and professionalism, I was able to fully recover my funds. Unfortunately, many individuals fall victim to scams in the cryptocurrency space, especially those involving fraudulent investment platforms. However, I advise caution, as not all recovery services are legitimate. I personally lost $273,000 worth of Bitcoin from my Binance account due to a deceptive platform. If you have suffered a similar loss, you may be considering crypto recovery, The Capital Crypto Recover is the most knowledgeable and effective Capital Crypto Recovery Services assisted me in recovering my stolen funds within 24 hours, after getting access to my wallet. Their service was not only prompt but also highly professional and effective, and many recovery services may not be trustworthy. Therefore, I highly recommend Capital Crypto Recover to you. i do always research and see reviews about their service, For assistance finding your misplaced cryptocurrency, get in touch with them, They do their jobs quickly and excellently, Stay safe and vigilant in the crypto world. You can reach them via email at [email protected] OR Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
28.06.25 00:46 patricialovick86

How To Recover Your Bitcoin Without Falling Victim To Scams: A Testimony Experience With Capital Crypto Recover Services, Contact Telegram: @Capitalcryptorecover Dear Everyone, I would like to take a moment to share my positive experience with Capital Crypto Recover Services. Initially, I was unsure if it would be possible to recover my stolen bitcoins. However, with their expertise and professionalism, I was able to fully recover my funds. Unfortunately, many individuals fall victim to scams in the cryptocurrency space, especially those involving fraudulent investment platforms. However, I advise caution, as not all recovery services are legitimate. I personally lost $273,000 worth of Bitcoin from my Binance account due to a deceptive platform. If you have suffered a similar loss, you may be considering crypto recovery, The Capital Crypto Recover is the most knowledgeable and effective Capital Crypto Recovery Services assisted me in recovering my stolen funds within 24 hours, after getting access to my wallet. Their service was not only prompt but also highly professional and effective, and many recovery services may not be trustworthy. Therefore, I highly recommend Capital Crypto Recover to you. i do always research and see reviews about their service, For assistance finding your misplaced cryptocurrency, get in touch with them, They do their jobs quickly and excellently, Stay safe and vigilant in the crypto world. You can reach them via email at [email protected] OR Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
29.06.25 07:39 paulmargaret

Dear Wizard Hilton Cyber Tech Team, I am writing to express my heartfelt gratitude and appreciation for your exceptional service in recovering my scammed funds. After falling victim to a scam and experiencing numerous disappointments, I was amazed by your team's professionalism, expertise, and dedication to helping me retrieve my lost money. Your prompt response and efficient handling of my case were truly impressive. Within 24 hours, you successfully recovered my funds, and I was overjoyed to see the money safely returned to my account. Your team's commitment to helping individuals like me, who have been scammed, is truly commendable. Your work not only restored my financial security but also gave me peace of mind and renewed trust in the digital world. I would like to highly recommend your services to anyone who has been a victim of scams or cybercrime. Your expertise and support can make a significant difference in recovering lost funds and navigating complex digital situations. Thank you again for your outstanding work and dedication. I am grateful for your help and wish you continued success in your endeavors Email : wizardhiltoncybertech ( @ ) gmail (. ) com OR support ( @ ) wizardhiltoncybertech (.) com WhatsApp number +18737715701 . Sincerely, Kimberly Williams
29.06.25 11:52 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
30.06.25 15:06 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
10.07.25 19:43 kevin

People have lost so much in binary options and Crypto currency, many Traders have failed to withdraw their funds and profits made from binary and crypto currency options, failed to use the right strategies when needed, failed to engage with the right broker, not giving their trade a break, also having too many trading accounts which is one of the cause of their lost of funds, deposits of too low or too high amount of funds and most especially, not being able to present the full history of their trade when trying to withdraw their funds and their profits. If you are out there and having problems such as these or you are a beginner, or for a good reason need to raise your standard of living or you have been scammed or you have problems withdrawing your funds and profits made from your recent trades contact him via ZATTCHRECOVERY @ GMAIL COM he will guide you on steps how to get your money back.
12.07.25 23:43 [email protected]

Mighty Hackar Recovery saved me The internet, once a safe space for communication, has become a dangerous place for sc@mmers. A R&B fan, unaware of the warning signs, invested $600,000 in an Instagram sc@m claiming to be from Teddy Swims. The sc@mmer was defrauded, and the victim's money went missing. They sought help from Mighty Hackar Recovery, a group specializing in recovering cryptocurrency fraud. The group conducted a thorough investigation, revealing the fraudster's dishonesty. The experience taught the importance of caution and the need to trust others. The story serves as a warning to double-check identities, carefully consider offers, and seek professional advice before making financial commitments. If you have fallen victim to a bitc0in sc@m, Mighty Hackar Recovery can help. You can reach out to them on WhatsApp +14042456415 Mighty Hacker Recovery hire Bitc0in expert near you. Blockchain projects Cryptocurrency exchanges ICOs (Initial Coin Offerings) Crypto wallet providers Decentralized applications (DApps) Cryptocurrency mining companies Blockchain-based platforms Crypto payment solutions NFT (Non-Fungible Token) projects
19.07.25 13:09 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 CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
19.07.25 13:10 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 CALL/Text Number: +1 (336) 390-6684 Email:: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
19.07.25 13:47 jack67667766

Jasmine Lopez is an expert in retrieving stolen cryptocurrency, including Ethereum and USDT. Her effective methods make her a reliable ally for theft victims. One client, who lost €908,000, sought her assistance, and Jasmine managed to recover the full amount within a day, bringing immense relief to the client. Jasmine is dedicated to helping others in similar situations and is available to offer support. For help with recovering lost funds, you can contact her via email at Recoveryfundprovider@GmaiL. com or on WhatsApp at ‪+44 736 644 {5035}‬.
21.07.25 08:47 jack67667766

Jasmine Lopez is an expert in retrieving stolen cryptocurrency, including Ethereum and USDT. Her effective methods make her a reliable ally for theft victims. One client, who lost €908,000, sought her assistance, and Jasmine managed to recover the full amount within a day, bringing immense relief to the client. Jasmine is dedicated to helping others in similar situations and is available to offer support. For help with recovering lost funds, you can contact her via email at Recoveryfundprovider@GmaiL. com or on WhatsApp at ‪+44 736 644 {5035}‬.
22.07.25 19:01 jack67667766

Jasmine Lopez is an expert in retrieving stolen cryptocurrency, including Ethereum and USDT. Her effective methods make her a reliable ally for theft victims. One client, who lost €908,000, sought her assistance, and Jasmine managed to recover the full amount within a day, bringing immense relief to the client. Jasmine is dedicated to helping others in similar situations and is available to offer support. For help with recovering lost funds, you can contact her via email at Recoveryfundprovider@GmaiL. com or on WhatsApp at ‪+44 736 644 {5035}‬.
22.07.25 20:04 jack67667766

Jasmine Lopez is an expert in retrieving stolen cryptocurrency, including Ethereum and USDT. Her effective methods make her a reliable ally for theft victims. One client, who lost €908,000, sought her assistance, and Jasmine managed to recover the full amount within a day, bringing immense relief to the client. Jasmine is dedicated to helping others in similar situations and is available to offer support. For help with recovering lost funds, you can contact her via email at Recoveryfundprovider@GmaiL. com or on WhatsApp at ‪+44 736 644 {5035}‬.
23.07.25 22:57 Frodejoel

Yes, recovery is possible — I say this from personal experience. A few months ago, I was scammed out of a large amount of crypto by what seemed like a legitimate investment opportunity. I tried reaching out to the platform, filed reports, and even contacted my wallet provider — no success. Then I came across a team called Scanner Hacker Crypto Recovery. I was skeptical at first, but they walked me through the process. They helped track the transaction trail and guided me through the necessary legal and technical steps. In the end, I was able to recover my stolen crypto — something I thought was gone forever. If you’ve been a victim: • Don’t panic • Don’t send more money to new “recovery scammers.” • Do your research and look for ethical, proven recovery teams I’m happy to share more about my experience if it helps — just write to Scanner Hacker Crypto Recovery directly with their email address: [email protected] Website: https://scannerhacktech.com/
24.07.25 13:51 tomcooper0147

Agent Jasmine Lopez has been a lifesaver! My Instagram account, crucial for my job, was locked, and I was at a loss on how to recover it. Thankfully, I reached out to Jas, and she expertly helped me regain access. The relief was immense! If you're facing a similar issue or need account assistance, I highly recommend contacting her. You can reach out to her on insta at { Recoveryfundprovider} (RECOVERYFUNDPROVIDER@GMAIL. COM.) WhatsApp her at +44 {736-644-5035} She's knowledgeable and efficient – she'll get the job done!
24.07.25 15:18 [email protected]

The mining pool I joined initially appeared to be a golden opportunity, promising consistent daily payouts, glowing testimonials, and a professional-looking platform that inspired confidence. I conducted what I believed was thorough research before investing a significant amount into what seemed to be a legitimate operation. For several months, everything ran smoothly, and I watched my earnings grow steadily until the day the platform suddenly vanished without a trace. With it went my investment, along with the funds of countless other victims. I was devastated, realizing I had fallen for an elaborate scam that had ensnared many others like me.Desperate for a solution, I began searching for ways to recover my lost cryptocurrency and stumbled upon TRUST GEEKS HACK EXPERT, a firm specializing in tracking down fraudulent schemes. Although I was initially skeptical about their services, I felt I had no other options left, so I decided to reach out Via web https://trustgeekshackexpert.com/ And Email.Trustgeekshackexpert{At}fastservice{.}com. To my surprise, their team responded immediately, explaining their process with clarity and confidence. They had dealt with similar cases before and knew exactly where to look for the missing funds. Using advanced blockchain analysis techniques, they traced the stolen funds through multiple wallets, uncovering the scammer’s real identity, a fake persona cleverly hiding behind layers of obfuscation. With concrete evidence in hand, they collaborated with law enforcement to freeze the fraudster’s assets. To my amazement, within just a few weeks, TRUST GEEKS HACK EXPERT successfully recovered 90% of my lost funds, returning them to me and other victims of the scam. The relief I felt was indescribable. What had initially seemed like a hopeless situation transformed into a second chance, all thanks to their expertise and relentless persistence. If you’ve been scammed by a fake mining pool, Ponzi scheme, or any form of cryptocurrency fraud, don’t give up hope. TRUST GEEKS HACK EXPERT demonstrated that even in the chaotic landscape of decentralized finance, justice is indeed possible.
25.07.25 17:54 trinity1121

It is a pleasure to write this review. I have been with MARIE since the beginning of 2018, and the service has been great. I had my coins stolen by hackers and I was so worried about how to get them back. It was a nightmare for me, because I didn't know where to start. But then my friend told me about ([email protected] and telegram:@Marie_consultancy) and it made everything easier for me. I am glad that my bitcoin was recovered and now I can continue trading
25.07.25 22:49 tomcooper0147

Agent Jasmine Lopez helped me recover nearly £502,000 in USDC from a crypto scam. When I lost the funds, I felt hopeless, but her expertise in blockchain and dedication made all the difference. She skillfully traced complex transactions and tracked down the scammers, which would have been impossible for me to do on my own. Thanks to her tireless efforts, I was able to recover a significant portion of my lost crypto. If you've fallen victim to a similar scam, I highly recommend reaching out to her. You can contact her via email at [Recoveryfundprovider@gmail. COM.] or WhatsApp at {44 736-644-5035}. Her attention to detail and commitment to her work are truly impressive. Don't hesitate to reach out – her expertise could be the key to recovering your lost funds.
25.07.25 23:04 benjudge

Honestly, if you’ve ever fallen victim to a crypto scam, I know how overwhelming and hopeless it can feel. I went through it myself and tried everything I could to recover what I lost—nothing worked until I found someone who genuinely knew what they were doing. Sylvester Bryant was the one actually helped me recover my USDC. What stood out was how transparent and professional he was the entire time. No empty promises—just real results and support when I needed it most. If you’re in the same boat and looking for someone reliable, I truly recommend giving him a shout. You can reach him at: 📧 yt7cracker [at] gmail [dot] com 📱 WhatsApp: +1 (512) 577-7957 Don’t lose hope—it is possible to bounce back.
25.07.25 23:04 benjudge

Honestly, if you’ve ever fallen victim to a crypto scam, I know how overwhelming and hopeless it can feel. I went through it myself and tried everything I could to recover what I lost—nothing worked until I found someone who genuinely knew what they were doing. Sylvester Bryant was the one actually helped me recover my USDC. What stood out was how transparent and professional he was the entire time. No empty promises—just real results and support when I needed it most. If you’re in the same boat and looking for someone reliable, I truly recommend giving him a shout. You can reach him at: 📧 yt7cracker [at] gmail [dot] com 📱 WhatsApp: +1 (512) 577-7957 Don’t lose hope—it is possible to bounce back.
26.07.25 14:00 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 CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
26.07.25 14:00 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 CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
26.07.25 15:58 benjudge

Hey everyone, just wanted to share my experience in case it helps someone else here. If you've ever lost funds in a crypto scam, you know how devastating it can be. I went through it myself and tried several recovery services—most were dead ends. The only one who actually helped was Sylvester Bryant. He assisted me in recovering my USDC, XRP and what really impressed me was his professionalism and honesty throughout the process. If you’re in a similar situation, I’d suggest getting in touch with him. 📧 yt7cracker [@] gmail . com 📱 WhatsApp: +1 (512) 577-7957 Just sharing in case it helps someone avoid the runaround I went through
26.07.25 15:58 benjudge

Hey everyone, just wanted to share my experience in case it helps someone else here. If you've ever lost funds in a crypto scam, you know how devastating it can be. I went through it myself and tried several recovery services—most were dead ends. The only one who actually helped was Sylvester Bryant. He assisted me in recovering my USDC, XRP and what really impressed me was his professionalism and honesty throughout the process. If you’re in a similar situation, I’d suggest getting in touch with him. 📧 yt7cracker [@] gmail . com 📱 WhatsApp: +1 (512) 577-7957 Just sharing in case it helps someone avoid the runaround I went through
26.07.25 16:12 trinity1121

Recovering lost funds requires teamwork between recovery experts and legal helpers. Recovery specialists can find and get back stolen assets,. Educate yourself by reaching out to ([email protected] and telegram:@Marie_consultancy) . This helps prevent future scams and can assist in reclaiming lost Bitcoin. Being cautious and searching for help increases your chances of getting your money back.
26.07.25 17:02 benjudge

Hey everyone, just wanted to share my experience in case it helps someone else here. If you've ever lost funds in a crypto scam, you know how devastating it can be. I went through it myself and tried several recovery services—most were dead ends. The only one who actually helped was Sylvester Bryant. He assisted me in recovering my USDC, XRP and what really impressed me was his professionalism and honesty throughout the process. If you’re in a similar situation, I’d suggest getting in touch with him. 📧 yt7cracker [@] gmail . com 📱 WhatsApp: +1 (512) 577-7957 Just sharing in case it helps someone avoid the runaround I went through
26.07.25 17:52 benjudge

Honestly, if you’ve ever fallen victim to a crypto scam, I know how overwhelming and hopeless it can feel. I went through it myself and tried everything I could to recover what I lost—nothing worked until I found someone who genuinely knew what they were doing. sylvester bryant was the one actually helped me recover my USDC. What stood out was how transparent and professional he was the entire time. No empty promises—just real results and support when I needed it most. If you’re in the same boat and looking for someone reliable, I truly recommend giving him a shout. You can reach him at: 📧 yt7cracker@ gmail . com 📱 WhatsApp: +1 (512) 577-7957 Don’t lose hope—it is possible to bounce back.
26.07.25 19:49 vallatjosette

My Wild Ride: How a Wizard Hilton Cyber Tech Helped Me Recover Lost Bitcoin of 103,000 It all started when I had the misfortune of misplacing the digital wallet containing my substantial cryptocurrency holdings - a staggering 103,000 bitcoins. I had amassed this sizable fortune over the years through strategic investments and careful trading, but in a moment of carelessness, the private keys to my digital wallet had vanished. Panic set in as I grappled with the gravity of my situation - those bitcoins, worth millions at the time, were effectively lost to the ether, inaccessible and seemingly unrecoverable. Just when I had resigned myself to the devastating financial blow, a chance encounter with a self-proclaimed "digital wizard" Wizard Hilton Cyber Tech presented a glimmer of hope. This enigmatic individual, who operated in the shadowy corners of the crypto underworld, claimed to possess the arcane knowledge and skills necessary to retrieve my lost digital wealth. Intrigued and desperate, I put my skepticism aside and entrusted this mysterious wizard with the task. What followed was a wild, suspenseful journey into the depths of blockchain technology and cryptography, as the wizard navigated complex algorithms, exploited vulnerabilities, and pieced together the puzzle of my missing private keys. After days of intense effort, Wizard Hilton Cyber Tech emerged triumphant, having successfully recovered the entirety of my 103,000 bitcoin stash. The sheer relief and elation I felt in that moment was indescribable, as I regained access to my small digital fortune and was able to secure my financial future. This harrowing experience taught me the invaluable lesson of never taking the security of my cryptocurrency holdings for granted, and the importance of always maintaining the utmost diligence when it comes to protecting one's digital wealth. Email: wizardhiltoncybertech ( @ ) gmail (. ) com OR support ( @ ) wizardhiltoncybertech (.) com WhatsApp number +18737715701 Thanks.
26.07.25 21:06 daniellahugson

HOW TO HIRE A HACKER TO RECOVER STOLEN BITCOIN. CONSULT A CERTIFIED CRYPTO RECOVERY EXPERT, FASTFUND RECOVERY.
26.07.25 21:06 daniellahugson

HOW TO HIRE A HACKER TO RECOVER STOLEN BITCOIN. CONSULT A CERTIFIED CRYPTO RECOVERY EXPERT, FASTFUND RECOVERY.
26.07.25 21:07 daniellahugson

HOW TO HIRE A HACKER TO RECOVER STOLEN BITCOIN. CONSULT A CERTIFIED CRYPTO RECOVERY EXPERT, FASTFUND RECOVERY. I had always thought it would be impossible to recover stolen cryptocurrency funds until I came across the Fastfund Recovery team. This cryptocurrency recovery team successfully recovered my stolen Bitcoin and Ethereum funds. I was one of the many victims of a crypto scam, and I lost my entire family savings trying to double it. It was a very difficult time for me and my family. I was depressed and gave up hope of ever getting my money back. A few weeks ago, I came across a post while searching for clues on Google on how to recover my cryptocurrency. I saw a recommendation about Fastfund Recovery and how they were able to recover cryptocurrency funds for many scam victims effectively. I didn’t hesitate to contact them and provide all the necessary information. Fastfund Recovery was able to recover my funds within two days. I’m truly grateful for their service, and I promised them I would recommend them to others like me. You can easily reach them via E-Mail: Fastfundrecovery8 (@)gmail com W/A: 1 (807)500-7554. Fastfund Recovery is no doubt the best when it comes to recovering cryptocurrency funds.
06:31 tyler1121

Working with recovery experts like Marie helps get your money back. Experts find your lost money. This teamwork improves your chances of success. Contact ([email protected] and telegram:@Marie_consultancy). They can protect you from future scams. They can also help you get your lost bitcoin back.
09:17 benjudge

Hey everyone, just wanted to share my experience in case it helps someone else here. If you've ever lost funds in a crypto scam, you know how devastating it can be. I went through it myself and tried several recovery services—most were dead ends. The only one who actually helped was Sylvester Bryant. He assisted me in recovering my USDC, XRP and what really impressed me was his professionalism and honesty throughout the process. If you’re in a similar situation, I’d suggest getting in touch with him. 📧 yt7cracker [@] gmail . com 📱 WhatsApp: +1 (512) 577-7957 Just sharing in case it helps someone avoid the runaround I went through