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Н Новости

Отчёт о запуске DeepSeek-R1 на Xeon 6132 c 768 ГБ памяти

Спойлер для экономии времени читающих — я просто скачаю DeepSeek и запущу его через llama.cpp, на какую-либо научную новизну этот пост совершенно не претендует. Зачем это на хабре, если там всего одна команда? Просто в комментариях к посту «Мануал по запуску полной модели DeepSeek-R1 локально» я спросил «имеет ли смысл попробовать на том железе, что у меня есть», и меня попросили это сделать, ну и некоторое количество «плюсиков» говорит о том, что кому-нибудь это будет интересно, ну а раз паззл сложился — о том и пост, просто развёрнутое продолжение, алаверды, так сказать, к предыдущему оратору. И да, я абсолютный дилетант в LLM, это первая «пристрелка», так что «туториалом» оформлять пост не буду, там могут быть неточности. Если кому интересны подробности — можно продолжить чтение.

Второй спойлер — да это работает. Но очень медленно. Но работает.

Железо

Упражняться я буду вот на такой конфигурации:
HP z8 G4 рабочая станция примерно пятилетней давности в практически стоковом варианте.
Два процессора Xeon Gold 6132, 768 GB памяти DDR4, терабайтный NVMe SSD Samsung.
.
CPU-z выдаёт мне 10000+ попугаев:

d_yh_p0en_whozfuj99jqozqxsy.png

Память набрана плашками по 64 ГБ, их там двенадцать штук:

on5gv0rl5mzjikwejwxcuempii0.png

Бенчмарк памяти и кэша я уже в комментах показывал, вынесу сюда тоже:

r2prrupxqhuzmzpu60l2rporwd0.png

Видеокарт там две — NVidia Quadro K4200 да AMD Radeon Pro WX 9100, но использоваться как GPU они не будут (смысла в общем нет).

pnypnxaxpnehsvrmwgw8nxb-wau.png

Диск:

guxusypp7qprdup0zmk7_jycr7o.png

Вообще их там четыре таких, но в рейд объединять не буду, модель один раз грузится в память, в принципе и так норм.

Комп остался как тестовый от одного проекта, в котором надо было быстро обрабатывать полтерабайта картинок, прилетающих от нескольких скоростных камер, теперь просто пылится под столом и эпизодически используется для упражнений.

Скачиваем DeepSeek

Я бы мог просто написать «скачайте DeepSeek R1 Q8_0», но тут есть небольшой нюанс. Дело в том, что на работе у меня все искусственные интеллекты старательно заблокированы злым админом, охраняющим интеллектуальную собственность. У меня нет онлайн доступа ни к ChatGPT, ни к Perplexity, ни к DeepSeek, равно как все дропбоксы, гуглодрайвы, онлайн заметочники — блокировано решительно всё. Причём не только на уровне прокси, но также фактически осуществляется MITM подменой сертификатов, поэтому скачать с Hugging Face/Unsloth AI я ничего не могу, получая отлуп 500. Издержки работы в большой компании. Обходить защиты — чревато, ибо Большой Брат неустанно бдит, так что качать я буду дома. А дома у меня всего-навсего 100 Мбит (хоть и оптоволокно), так что процесс не быстрый (планируйте как минимум сутки).

Поскольку репозиторий содержит несколько моделей, то я решил, что я самый умный, и слегка погуглив нашёл способ выдернуть через гит отдельную папку, а не всю репу.

Вот как-то так это делается через sparse-checkout:

git clone -n --depth=1 --filter=tree:0 https://huggingface.co/unsloth/DeepSeek-R1-GGUF
cd DeepSeek-R1-GGUF
git sparse-checkout set --no-cone /DeepSeek-R1-Q8_0
git checkout

Я включил старый комп с файлопомойкой, проверил там свободное место, выполнил команды выше, убедился, что информация пошла по проводам, и пошёл спать. Наутро я обнаружил, что туда прилетели обновления и он перезагрузился. Ну, бывает, я и забыл, что незадолго до этого поставил туда свежую Windows да не настроил как следует.

Лирическое отступление — если вы хотите временно отказаться от обновлений и возможных сопутствующих перезагрузок, то просто включите Metered connection (по-немецки Getaktete Verbindung) для сетевого адаптера, это самый наипростейший способ достичь бесконечного аптайма на компе, постоянно воткнутом в интернет.

Я это сделал, и выполнив команды второй раз, обнаружил, что «докачки» там нет и в помине, git начал качать с нуля (это видно в lfs кэше, там сначала файлы складываются во временную папку). Тут я вспомнил, что у меня валяется древний QNAP NAS, там есть качалка, но тут меня ждала другая засада — раз в сутки провайдер сбрасывает соединение, при этом NAS на это нервно реагировал, вываливал ошибку и начинал скачку снова. С торрентами он худо-бедно справлялся, а вот с https — нет. Я уже хотел было отказаться от затеи, но вы же понимаете — если я во всеуслышание напишу вот прямо здесь, что не смог скачать шестьсот гиг, то надо мной будет ржать весь хабр, и я буду подвергнут публичному остракизму, так что пришлось расчехлить менеджер закачек, которым я не пользовался уже много лет.

Я это всё к тому, что если захотите скачать на слабом канале — заранее проверьте, что вы можете уверенно докачивать при обрыве соединения.

Ладно, хватит длинного вступления, короче — вот репозиторий DeepSeek-R1-GGUF, вот модель DeepSeek-R1-Q8_0, а под спойлером — прямые ссылки на список файлов, которые можно скормить любому менеджеру, я пользовался JDownloader 2.

DeepSeek-R1.Q8_0-000??-of-00015.gguf
https://huggingface.co/unsloth/DeepSeek-R1-GGUF/resolve/main/DeepSeek-R1-Q8_0/DeepSeek-R1.Q8_0-00001-of-00015.gguf?download=true
https://huggingface.co/unsloth/DeepSeek-R1-GGUF/resolve/main/DeepSeek-R1-Q8_0/DeepSeek-R1.Q8_0-00002-of-00015.gguf?download=true
https://huggingface.co/unsloth/DeepSeek-R1-GGUF/resolve/main/DeepSeek-R1-Q8_0/DeepSeek-R1.Q8_0-00003-of-00015.gguf?download=true
https://huggingface.co/unsloth/DeepSeek-R1-GGUF/resolve/main/DeepSeek-R1-Q8_0/DeepSeek-R1.Q8_0-00004-of-00015.gguf?download=true
https://huggingface.co/unsloth/DeepSeek-R1-GGUF/resolve/main/DeepSeek-R1-Q8_0/DeepSeek-R1.Q8_0-00005-of-00015.gguf?download=true
https://huggingface.co/unsloth/DeepSeek-R1-GGUF/resolve/main/DeepSeek-R1-Q8_0/DeepSeek-R1.Q8_0-00006-of-00015.gguf?download=true
https://huggingface.co/unsloth/DeepSeek-R1-GGUF/resolve/main/DeepSeek-R1-Q8_0/DeepSeek-R1.Q8_0-00007-of-00015.gguf?download=true
https://huggingface.co/unsloth/DeepSeek-R1-GGUF/resolve/main/DeepSeek-R1-Q8_0/DeepSeek-R1.Q8_0-00008-of-00015.gguf?download=true
https://huggingface.co/unsloth/DeepSeek-R1-GGUF/resolve/main/DeepSeek-R1-Q8_0/DeepSeek-R1.Q8_0-00009-of-00015.gguf?download=true
https://huggingface.co/unsloth/DeepSeek-R1-GGUF/resolve/main/DeepSeek-R1-Q8_0/DeepSeek-R1.Q8_0-00010-of-00015.gguf?download=true
https://huggingface.co/unsloth/DeepSeek-R1-GGUF/resolve/main/DeepSeek-R1-Q8_0/DeepSeek-R1.Q8_0-00011-of-00015.gguf?download=true
https://huggingface.co/unsloth/DeepSeek-R1-GGUF/resolve/main/DeepSeek-R1-Q8_0/DeepSeek-R1.Q8_0-00012-of-00015.gguf?download=true
https://huggingface.co/unsloth/DeepSeek-R1-GGUF/resolve/main/DeepSeek-R1-Q8_0/DeepSeek-R1.Q8_0-00013-of-00015.gguf?download=true
https://huggingface.co/unsloth/DeepSeek-R1-GGUF/resolve/main/DeepSeek-R1-Q8_0/DeepSeek-R1.Q8_0-00014-of-00015.gguf?download=true
https://huggingface.co/unsloth/DeepSeek-R1-GGUF/resolve/main/DeepSeek-R1-Q8_0/DeepSeek-R1.Q8_0-00015-of-00015.gguf?download=true

Плюс использования менеджера ещё и в том, что днём я могу уменьшить скорость, чтобы не доставлять неудобств домашним, а ночью «открывать кран» на всю катушку.

Пока идёт скачивание, чтоб было не скучно — могу предложить загадку, как раз про это.

Во второй половине девяностых, мы, новоиспечённые выпускники физтеха, порой собирались вместе, распивали крепкие спиртные напитки и иногда смотрели фильмы на видеокассетах. В числе наиболее популярных был фильм, который мы, подрабатывающие программистами, ласково называли не иначе как «это наше кино, про эти, про ГИГАБАЙТЫ!» Угадайте, о каком фильме, выпущенном в середине девяностых, шла речь? Потом спросим у DeepSeek.

Как бы то ни было, через пару дней и ночей на терабайтном диске у меня лежали пятнадцать заветных GGUF файлов. Бережно неся их на работу, испытал странное ощущение — это что же, у меня в руках почти вся взвешенная квинтэссенция знаний человечества?! Мда...

Запускаем.

Вообще говоря существует несколько способов «запустить» DeepSeek локально — LM Studio, Ollama, llama.cpp и OpenVINO, часть из них я почерпнул из комментов, за что спасибо. Я попробовал навскидку все, но без фанатизма.

Самый наипростейший, вероятно — LM Studio. Актуальная версия на момент написания поста — 0.3.9. Я попробовал поставить дома, всё без проблем, как демка скачивается простенькая DeepSeek-R1-Distill-Qwen-7B-Q4_K_M.gguf на четыре с половиной гига, что позволяет запустить это дело даже на моём древнем ноуте (32 ГБ, проц. i7-4940MX). Я попробовал — даже работает, но очень медленно. Файлы моделей по умолчанию лежат в %USERPROFILE%\.lmstudio\models\lmstudio-community, там они в поддиректориях типа \DeepSeek-R1-Distill-Qwen-7B-GGUF.

Я закинул на диск инсталлятор, но вот на hp z8 прилетела и уселась птичка обломинго — «тестовая» Qwen 7B хоть и загружалась, но вываливалась в «неизвестную ошибку» после первого же промпта, а с таким трудом выкачанная Q8_0 отказалась загружаться вовсе, сославшись на нехватку ресурсов (выгрузку в GPU я отключил, не помогло). Дальше я мучить её пока не стал и отложил красивую игрушку в сторону.

Ollama в основном рассчитана на то, что скачивать модель вы будете через неё же (что невозможно в моём случае, а перекачивать дома всё ещё раз — тут уж извините),

Welcome to Ollama!
Run your first model:

        ollama run llama3.2

PS C:\Windows\System32> ollama run deepseek-r1:1.5b
pulling manifest
pulling aabd4debf0c8... 100% ▕████████████████████████████████▏ 1.1 GB
pulling 369ca498f347... 100% ▕████████████████████████████████▏  387 B
pulling 6e4c38e1172f... 100% ▕████████████████████████████████▏ 1.1 KB
verifying sha256 digest, writing manifest, success
>>> hi!
<think>

</think>

Hello! How can I assist you today? 😊

так то оно работает, а вот как «подоткнуть» ей уже заранее скачанные файлы GGUF — тут чуть сложнее. То есть место-то где они должны лежать, я знаю: %USERPROFILE%\.ollama\models, но там модель надо кидать в папку \blobs, при этом переименовать файл в sha256-<хеш>, кроме того, надо добавить конфигурационный файл в \manifests\registry\.ollama.ai\library\deepseek-r1, в общем тут надо «приготовить» модель через
"ollama create DeepSeekR1 -f DeepSeek-R1.gguf", но перед этим вам придётся смержить все пятнадцать файлов вместе через "gguf-split --merge DeepSeek-R1.Q8_0-00001-of-00015.gguf DeepSeek-R1.gguf", и в общем ну его в топку такие упражнения.

А вот с llama.cpp всё получилось, и очень просто. Я было приготовился долго и нудно собирать это дело из исходников, но делать это не надо, там есть готовые сборки под Windows. Поскольку у меня железка на Xeon с поддержкой AVX512, вот эту версию я и скачал для начала.

Короче, тупо забрасываем файлы модели и содержимое архива с утилитами в одну папку (да прямо в корень диска F:\ в моём случае)

ehssw__zo7k7s3-7mr1ja7ezdam.png

И запускаем

llama-cli.exe -m DeepSeek-R1.Q8_0-00001-of-00015.gguf -p "Hi!" -n 4096

Всё.

Все параметры командной строки (на английском, под спойлером). их там овердофига:

llama-cli.exe -h
example usage:

  text generation:     llama-cli.exe -m your_model.gguf -p "Hi!" -n 128
  chat (conversation): llama-cli.exe -m your_model.gguf -p "Hello!" -cnv

----- common params -----

-h,    --help, --usage                  print usage and exit
--version                               show version and build info
--verbose-prompt                        print a verbose prompt before generation (default: false)
-t,    --threads N                      number of threads to use during generation (default: -1)
                                        (env: LLAMA_ARG_THREADS)
-tb,   --threads-batch N                number of threads to use during batch and prompt processing (default:
                                        same as --threads)
-C,    --cpu-mask M                     CPU affinity mask: arbitrarily long hex. Complements cpu-range
                                        (default: "")
-Cr,   --cpu-range lo-hi                range of CPUs for affinity. Complements --cpu-mask
--cpu-strict <0|1>                      use strict CPU placement (default: 0)
--prio N                                set process/thread priority : 0-normal, 1-medium, 2-high, 3-realtime
                                        (default: 0)
--poll <0...100>                        use polling level to wait for work (0 - no polling, default: 50)
-Cb,   --cpu-mask-batch M               CPU affinity mask: arbitrarily long hex. Complements cpu-range-batch
                                        (default: same as --cpu-mask)
-Crb,  --cpu-range-batch lo-hi          ranges of CPUs for affinity. Complements --cpu-mask-batch
--cpu-strict-batch <0|1>                use strict CPU placement (default: same as --cpu-strict)
--prio-batch N                          set process/thread priority : 0-normal, 1-medium, 2-high, 3-realtime
                                        (default: 0)
--poll-batch <0|1>                      use polling to wait for work (default: same as --poll)
-c,    --ctx-size N                     size of the prompt context (default: 4096, 0 = loaded from model)
                                        (env: LLAMA_ARG_CTX_SIZE)
-n,    --predict, --n-predict N         number of tokens to predict (default: -1, -1 = infinity, -2 = until
                                        context filled)
                                        (env: LLAMA_ARG_N_PREDICT)
-b,    --batch-size N                   logical maximum batch size (default: 2048)
                                        (env: LLAMA_ARG_BATCH)
-ub,   --ubatch-size N                  physical maximum batch size (default: 512)
                                        (env: LLAMA_ARG_UBATCH)
--keep N                                number of tokens to keep from the initial prompt (default: 0, -1 =
                                        all)
-fa,   --flash-attn                     enable Flash Attention (default: disabled)
                                        (env: LLAMA_ARG_FLASH_ATTN)
-p,    --prompt PROMPT                  prompt to start generation with
                                        if -cnv is set, this will be used as system prompt
--no-perf                               disable internal libllama performance timings (default: false)
                                        (env: LLAMA_ARG_NO_PERF)
-f,    --file FNAME                     a file containing the prompt (default: none)
-bf,   --binary-file FNAME              binary file containing the prompt (default: none)
-e,    --escape                         process escapes sequences (\n, \r, \t, \', \", \\) (default: true)
--no-escape                             do not process escape sequences
--rope-scaling {none,linear,yarn}       RoPE frequency scaling method, defaults to linear unless specified by
                                        the model
                                        (env: LLAMA_ARG_ROPE_SCALING_TYPE)
--rope-scale N                          RoPE context scaling factor, expands context by a factor of N
                                        (env: LLAMA_ARG_ROPE_SCALE)
--rope-freq-base N                      RoPE base frequency, used by NTK-aware scaling (default: loaded from
                                        model)
                                        (env: LLAMA_ARG_ROPE_FREQ_BASE)
--rope-freq-scale N                     RoPE frequency scaling factor, expands context by a factor of 1/N
                                        (env: LLAMA_ARG_ROPE_FREQ_SCALE)
--yarn-orig-ctx N                       YaRN: original context size of model (default: 0 = model training
                                        context size)
                                        (env: LLAMA_ARG_YARN_ORIG_CTX)
--yarn-ext-factor N                     YaRN: extrapolation mix factor (default: -1.0, 0.0 = full
                                        interpolation)
                                        (env: LLAMA_ARG_YARN_EXT_FACTOR)
--yarn-attn-factor N                    YaRN: scale sqrt(t) or attention magnitude (default: 1.0)
                                        (env: LLAMA_ARG_YARN_ATTN_FACTOR)
--yarn-beta-slow N                      YaRN: high correction dim or alpha (default: 1.0)
                                        (env: LLAMA_ARG_YARN_BETA_SLOW)
--yarn-beta-fast N                      YaRN: low correction dim or beta (default: 32.0)
                                        (env: LLAMA_ARG_YARN_BETA_FAST)
-dkvc, --dump-kv-cache                  verbose print of the KV cache
-nkvo, --no-kv-offload                  disable KV offload
                                        (env: LLAMA_ARG_NO_KV_OFFLOAD)
-ctk,  --cache-type-k TYPE              KV cache data type for K
                                        allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1
                                        (default: f16)
                                        (env: LLAMA_ARG_CACHE_TYPE_K)
-ctv,  --cache-type-v TYPE              KV cache data type for V
                                        allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1
                                        (default: f16)
                                        (env: LLAMA_ARG_CACHE_TYPE_V)
-dt,   --defrag-thold N                 KV cache defragmentation threshold (default: 0.1, < 0 - disabled)
                                        (env: LLAMA_ARG_DEFRAG_THOLD)
-np,   --parallel N                     number of parallel sequences to decode (default: 1)
                                        (env: LLAMA_ARG_N_PARALLEL)
--rpc SERVERS                           comma separated list of RPC servers
                                        (env: LLAMA_ARG_RPC)
--mlock                                 force system to keep model in RAM rather than swapping or compressing
                                        (env: LLAMA_ARG_MLOCK)
--no-mmap                               do not memory-map model (slower load but may reduce pageouts if not
                                        using mlock)
                                        (env: LLAMA_ARG_NO_MMAP)
--numa TYPE                             attempt optimizations that help on some NUMA systems
                                        - distribute: spread execution evenly over all nodes
                                        - isolate: only spawn threads on CPUs on the node that execution
                                        started on
                                        - numactl: use the CPU map provided by numactl
                                        if run without this previously, it is recommended to drop the system
                                        page cache before using this
                                        see https://github.com/ggerganov/llama.cpp/issues/1437
                                        (env: LLAMA_ARG_NUMA)
-dev,  --device <dev1,dev2,..>          comma-separated list of devices to use for offloading (none = don't
                                        offload)
                                        use --list-devices to see a list of available devices
                                        (env: LLAMA_ARG_DEVICE)
--list-devices                          print list of available devices and exit
-ngl,  --gpu-layers, --n-gpu-layers N   number of layers to store in VRAM
                                        (env: LLAMA_ARG_N_GPU_LAYERS)
-sm,   --split-mode {none,layer,row}    how to split the model across multiple GPUs, one of:
                                        - none: use one GPU only
                                        - layer (default): split layers and KV across GPUs
                                        - row: split rows across GPUs
                                        (env: LLAMA_ARG_SPLIT_MODE)
-ts,   --tensor-split N0,N1,N2,...      fraction of the model to offload to each GPU, comma-separated list of
                                        proportions, e.g. 3,1
                                        (env: LLAMA_ARG_TENSOR_SPLIT)
-mg,   --main-gpu INDEX                 the GPU to use for the model (with split-mode = none), or for
                                        intermediate results and KV (with split-mode = row) (default: 0)
                                        (env: LLAMA_ARG_MAIN_GPU)
--check-tensors                         check model tensor data for invalid values (default: false)
--override-kv KEY=TYPE:VALUE            advanced option to override model metadata by key. may be specified
                                        multiple times.
                                        types: int, float, bool, str. example: --override-kv
                                        tokenizer.ggml.add_bos_token=bool:false
--lora FNAME                            path to LoRA adapter (can be repeated to use multiple adapters)
--lora-scaled FNAME SCALE               path to LoRA adapter with user defined scaling (can be repeated to use
                                        multiple adapters)
--control-vector FNAME                  add a control vector
                                        note: this argument can be repeated to add multiple control vectors
--control-vector-scaled FNAME SCALE     add a control vector with user defined scaling SCALE
                                        note: this argument can be repeated to add multiple scaled control
                                        vectors
--control-vector-layer-range START END
                                        layer range to apply the control vector(s) to, start and end inclusive
-m,    --model FNAME                    model path (default: `models/$filename` with filename from `--hf-file`
                                        or `--model-url` if set, otherwise models/7B/ggml-model-f16.gguf)
                                        (env: LLAMA_ARG_MODEL)
-mu,   --model-url MODEL_URL            model download url (default: unused)
                                        (env: LLAMA_ARG_MODEL_URL)
-hf,   -hfr, --hf-repo <user>/<model>[:quant]
                                        Hugging Face model repository; quant is optional, case-insensitive,
                                        default to Q4_K_M, or falls back to the first file in the repo if
                                        Q4_K_M doesn't exist.
                                        example: unsloth/phi-4-GGUF:q4_k_m
                                        (default: unused)
                                        (env: LLAMA_ARG_HF_REPO)
-hfd,  -hfrd, --hf-repo-draft <user>/<model>[:quant]
                                        Same as --hf-repo, but for the draft model (default: unused)
                                        (env: LLAMA_ARG_HFD_REPO)
-hff,  --hf-file FILE                   Hugging Face model file. If specified, it will override the quant in
                                        --hf-repo (default: unused)
                                        (env: LLAMA_ARG_HF_FILE)
-hfv,  -hfrv, --hf-repo-v <user>/<model>[:quant]
                                        Hugging Face model repository for the vocoder model (default: unused)
                                        (env: LLAMA_ARG_HF_REPO_V)
-hffv, --hf-file-v FILE                 Hugging Face model file for the vocoder model (default: unused)
                                        (env: LLAMA_ARG_HF_FILE_V)
-hft,  --hf-token TOKEN                 Hugging Face access token (default: value from HF_TOKEN environment
                                        variable)
                                        (env: HF_TOKEN)
--log-disable                           Log disable
--log-file FNAME                        Log to file
--log-colors                            Enable colored logging
                                        (env: LLAMA_LOG_COLORS)
-v,    --verbose, --log-verbose         Set verbosity level to infinity (i.e. log all messages, useful for
                                        debugging)
-lv,   --verbosity, --log-verbosity N   Set the verbosity threshold. Messages with a higher verbosity will be
                                        ignored.
                                        (env: LLAMA_LOG_VERBOSITY)
--log-prefix                            Enable prefx in log messages
                                        (env: LLAMA_LOG_PREFIX)
--log-timestamps                        Enable timestamps in log messages
                                        (env: LLAMA_LOG_TIMESTAMPS)


----- sampling params -----

--samplers SAMPLERS                     samplers that will be used for generation in the order, separated by
                                        ';'
                                        (default: penalties;dry;top_k;typ_p;top_p;min_p;xtc;temperature)
-s,    --seed SEED                      RNG seed (default: -1, use random seed for -1)
--sampling-seq, --sampler-seq SEQUENCE
                                        simplified sequence for samplers that will be used (default: edkypmxt)
--ignore-eos                            ignore end of stream token and continue generating (implies
                                        --logit-bias EOS-inf)
--temp N                                temperature (default: 0.8)
--top-k N                               top-k sampling (default: 40, 0 = disabled)
--top-p N                               top-p sampling (default: 0.9, 1.0 = disabled)
--min-p N                               min-p sampling (default: 0.1, 0.0 = disabled)
--xtc-probability N                     xtc probability (default: 0.0, 0.0 = disabled)
--xtc-threshold N                       xtc threshold (default: 0.1, 1.0 = disabled)
--typical N                             locally typical sampling, parameter p (default: 1.0, 1.0 = disabled)
--repeat-last-n N                       last n tokens to consider for penalize (default: 64, 0 = disabled, -1
                                        = ctx_size)
--repeat-penalty N                      penalize repeat sequence of tokens (default: 1.0, 1.0 = disabled)
--presence-penalty N                    repeat alpha presence penalty (default: 0.0, 0.0 = disabled)
--frequency-penalty N                   repeat alpha frequency penalty (default: 0.0, 0.0 = disabled)
--dry-multiplier N                      set DRY sampling multiplier (default: 0.0, 0.0 = disabled)
--dry-base N                            set DRY sampling base value (default: 1.75)
--dry-allowed-length N                  set allowed length for DRY sampling (default: 2)
--dry-penalty-last-n N                  set DRY penalty for the last n tokens (default: -1, 0 = disable, -1 =
                                        context size)
--dry-sequence-breaker STRING           add sequence breaker for DRY sampling, clearing out default breakers
                                        ('\n', ':', '"', '*') in the process; use "none" to not use any
                                        sequence breakers
--dynatemp-range N                      dynamic temperature range (default: 0.0, 0.0 = disabled)
--dynatemp-exp N                        dynamic temperature exponent (default: 1.0)
--mirostat N                            use Mirostat sampling.
                                        Top K, Nucleus and Locally Typical samplers are ignored if used.
                                        (default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0)
--mirostat-lr N                         Mirostat learning rate, parameter eta (default: 0.1)
--mirostat-ent N                        Mirostat target entropy, parameter tau (default: 5.0)
-l,    --logit-bias TOKEN_ID(+/-)BIAS   modifies the likelihood of token appearing in the completion,
                                        i.e. `--logit-bias 15043+1` to increase likelihood of token ' Hello',
                                        or `--logit-bias 15043-1` to decrease likelihood of token ' Hello'
--grammar GRAMMAR                       BNF-like grammar to constrain generations (see samples in grammars/
                                        dir) (default: '')
--grammar-file FNAME                    file to read grammar from
-j,    --json-schema SCHEMA             JSON schema to constrain generations (https://json-schema.org/), e.g.
                                        `{}` for any JSON object
                                        For schemas w/ external $refs, use --grammar +
                                        example/json_schema_to_grammar.py instead


----- example-specific params -----

--no-display-prompt                     don't print prompt at generation (default: false)
-co,   --color                          colorise output to distinguish prompt and user input from generations
                                        (default: false)
--no-context-shift                      disables context shift on inifinite text generation (default:
                                        disabled)
                                        (env: LLAMA_ARG_NO_CONTEXT_SHIFT)
-ptc,  --print-token-count N            print token count every N tokens (default: -1)
--prompt-cache FNAME                    file to cache prompt state for faster startup (default: none)
--prompt-cache-all                      if specified, saves user input and generations to cache as well
--prompt-cache-ro                       if specified, uses the prompt cache but does not update it
-r,    --reverse-prompt PROMPT          halt generation at PROMPT, return control in interactive mode
-sp,   --special                        special tokens output enabled (default: false)
-cnv,  --conversation                   run in conversation mode:
                                        - does not print special tokens and suffix/prefix
                                        - interactive mode is also enabled
                                        (default: auto enabled if chat template is available)
-no-cnv, --no-conversation              force disable conversation mode (default: false)
-i,    --interactive                    run in interactive mode (default: false)
-if,   --interactive-first              run in interactive mode and wait for input right away (default: false)
-mli,  --multiline-input                allows you to write or paste multiple lines without ending each in '\'
--in-prefix-bos                         prefix BOS to user inputs, preceding the `--in-prefix` string
--in-prefix STRING                      string to prefix user inputs with (default: empty)
--in-suffix STRING                      string to suffix after user inputs with (default: empty)
--no-warmup                             skip warming up the model with an empty run
-gan,  --grp-attn-n N                   group-attention factor (default: 1)
                                        (env: LLAMA_ARG_GRP_ATTN_N)
-gaw,  --grp-attn-w N                   group-attention width (default: 512)
                                        (env: LLAMA_ARG_GRP_ATTN_W)
--jinja                                 use jinja template for chat (default: disabled)
                                        (env: LLAMA_ARG_JINJA)
--chat-template JINJA_TEMPLATE          set custom jinja chat template (default: template taken from model's
                                        metadata)
                                        if suffix/prefix are specified, template will be disabled
                                        only commonly used templates are accepted (unless --jinja is set
                                        before this flag):
                                        list of built-in templates:
                                        chatglm3, chatglm4, chatml, command-r, deepseek, deepseek2, deepseek3,
                                        exaone3, falcon3, gemma, gigachat, glmedge, granite, llama2,
                                        llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, megrez, minicpm,
                                        mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, monarch,
                                        openchat, orion, phi3, phi4, rwkv-world, vicuna, vicuna-orca, zephyr
                                        (env: LLAMA_ARG_CHAT_TEMPLATE)
--chat-template-file JINJA_TEMPLATE_FILE
                                        set custom jinja chat template file (default: template taken from
                                        model's metadata)
                                        if suffix/prefix are specified, template will be disabled
                                        only commonly used templates are accepted (unless --jinja is set
                                        before this flag):
                                        list of built-in templates:
                                        chatglm3, chatglm4, chatml, command-r, deepseek, deepseek2, deepseek3,
                                        exaone3, falcon3, gemma, gigachat, glmedge, granite, llama2,
                                        llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, megrez, minicpm,
                                        mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, monarch,
                                        openchat, orion, phi3, phi4, rwkv-world, vicuna, vicuna-orca, zephyr
                                        (env: LLAMA_ARG_CHAT_TEMPLATE_FILE)
--simple-io                             use basic IO for better compatibility in subprocesses and limited
                                        consoles

example usage:

  text generation:     llama-cli.exe -m your_model.gguf -p "I believe the meaning of life is" -n 128

  chat (conversation): llama-cli.exe -m your_model.gguf -p "You are a helpful assistant" -cnv


Первый момент, который я обнаружил — при предложенном параметре -n 256 вывод останавливался «на полуслове», не доходя до конца (это количество токенов — number of tokens to predict), я увеличил его до 4096 и процесс пошёл. Можно вообще не указывать, но есть риск того, что её поток сознания не остановится.

Если кому интересен полный лог старта, то вот:

llama-cli.exe -m DeepSeek-R1.Q8_0-00001-of-00015.gguf ...

Far Manager, version 3.0.6000.0 x64
Copyright © 1996-2000 Eugene Roshal, Copyright © 2000-2022 Far Group

F:>llama-cli.exe -m DeepSeek-R1.Q8_0-00001-of-00015.gguf -p "Hi!" -n 4096
build: 4628 (cde38332) with MSVC 19.42.34436.0 for x64
main: llama backend init
main: load the model and apply lora adapter, if any
llama_model_loader: additional 14 GGUFs metadata loaded.
llama_model_loader: loaded meta data with 48 key-value pairs and 1025 tensors from DeepSeek-R1.Q8_0-00001-of-00015.gguf (version GGUF V3 (latest))
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
llama_model_loader: - kv 0: general.architecture str
= deepseek2
llama_model_loader: - kv 1: general.type str
= model
llama_model_loader: - kv 2: general.name str
= DeepSeek R1 BF16
llama_model_loader: - kv 3: general.quantized_by str
= Unsloth
llama_model_loader: - kv 4: general.size_label str
= 256x20B
llama_model_loader: - kv 5: general.repo_url str
= https://huggingface.co/unsloth
llama_model_loader: - kv 6: deepseek2.block_count u32
= 61
llama_model_loader: - kv 7: deepseek2.context_length u32
= 163840
llama_model_loader: - kv 8: deepseek2.embedding_length u32
= 7168
llama_model_loader: - kv 9: deepseek2.feed_forward_length u32
= 18432
llama_model_loader: - kv 10: deepseek2.attention.head_count u32
= 128
llama_model_loader: - kv 11: deepseek2.attention.head_count_kv u32
= 128
llama_model_loader: - kv 12: deepseek2.rope.freq_base f32
= 10000.000000
llama_model_loader: - kv 13: deepseek2.attention.layer_norm_rms_epsilon f32
= 0.000001
llama_model_loader: - kv 14: deepseek2.expert_used_count u32
= 8
llama_model_loader: - kv 15: general.file_type u32
= 7
llama_model_loader: - kv 16: deepseek2.leading_dense_block_count u32
= 3
llama_model_loader: - kv 17: deepseek2.vocab_size u32
= 129280
llama_model_loader: - kv 18: deepseek2.attention.q_lora_rank u32
= 1536
llama_model_loader: - kv 19: deepseek2.attention.kv_lora_rank u32
= 512
llama_model_loader: - kv 20: deepseek2.attention.key_length u32
= 192
llama_model_loader: - kv 21: deepseek2.attention.value_length u32
= 128
llama_model_loader: - kv 22: deepseek2.expert_feed_forward_length u32
= 2048
llama_model_loader: - kv 23: deepseek2.expert_count u32
= 256
llama_model_loader: - kv 24: deepseek2.expert_shared_count u32
= 1
llama_model_loader: - kv 25: deepseek2.expert_weights_scale f32
= 2.500000
llama_model_loader: - kv 26: deepseek2.expert_weights_norm bool
= true
llama_model_loader: - kv 27: deepseek2.expert_gating_func u32
= 2
llama_model_loader: - kv 28: deepseek2.rope.dimension_count u32
= 64
llama_model_loader: - kv 29: deepseek2.rope.scaling.type str
= yarn
llama_model_loader: - kv 30: deepseek2.rope.scaling.factor f32
= 40.000000
llama_model_loader: - kv 31: deepseek2.rope.scaling.original_context_length u32
= 4096
llama_model_loader: - kv 32: deepseek2.rope.scaling.yarn_log_multiplier f32
= 0.100000
llama_model_loader: - kv 33: tokenizer.ggml.model str
= gpt2
llama_model_loader: - kv 34: tokenizer.ggml.pre str
= deepseek-v3
llama_model_loader: - kv 35: tokenizer.ggml.tokens arr[str,129280] = ["<|begin▁of▁sentence|>", "<�...
llama_model_loader: - kv 36: tokenizer.ggml.token_type arr[i32,129280] = [3, 3, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 37: tokenizer.ggml.merges arr[str,127741] = ["Ġ t", "Ġ a", "i n", "Ġ Ġ", "h e...
llama_model_loader: - kv 38: tokenizer.ggml.bos_token_id u32
= 0
llama_model_loader: - kv 39: tokenizer.ggml.eos_token_id u32
= 1
llama_model_loader: - kv 40: tokenizer.ggml.padding_token_id u32
= 128815
llama_model_loader: - kv 41: tokenizer.ggml.add_bos_token bool
= true
llama_model_loader: - kv 42: tokenizer.ggml.add_eos_token bool
= false
llama_model_loader: - kv 43: tokenizer.chat_template str
= {% if not add_generation_prompt is de...
llama_model_loader: - kv 44: general.quantization_version u32
= 2
llama_model_loader: - kv 45: split.no u16
= 0
llama_model_loader: - kv 46: split.count u16
= 15
llama_model_loader: - kv 47: split.tensors.count i32
= 1025
llama_model_loader: - type f32: 361 tensors
llama_model_loader: - type q8_0: 664 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type = Q8_0
print_info: file size = 664.29 GiB (8.50 BPW)
load: special_eos_id is not in special_eog_ids - the tokenizer config may be incorrect load: special tokens cache size = 819
load: token to piece cache size = 0.8223 MB
print_info: arch = deepseek2
print_info: vocab_only = 0
print_info: n_ctx_train = 163840
print_info: n_embd = 7168
print_info: n_layer = 61
print_info: n_head = 128
print_info: n_head_kv = 128
print_info: n_rot = 64
print_info: n_swa = 0
print_info: n_embd_head_k = 192
print_info: n_embd_head_v = 128
print_info: n_gqa = 1
print_info: n_embd_k_gqa = 24576
print_info: n_embd_v_gqa = 16384
print_info: f_norm_eps = 0.0e+00
print_info: f_norm_rms_eps = 1.0e-06
print_info: f_clamp_kqv = 0.0e+00
print_info: f_max_alibi_bias = 0.0e+00
print_info: f_logit_scale = 0.0e+00
print_info: n_ff = 18432
print_info: n_expert = 256
print_info: n_expert_used = 8
print_info: causal attn = 1
print_info: pooling type = 0
print_info: rope type = 0
print_info: rope scaling = yarn
print_info: freq_base_train = 10000.0
print_info: freq_scale_train = 0.025
print_info: n_ctx_orig_yarn = 4096
print_info: rope_finetuned = unknown
print_info: ssm_d_conv = 0
print_info: ssm_d_inner = 0
print_info: ssm_d_state = 0
print_info: ssm_dt_rank = 0
print_info: ssm_dt_b_c_rms = 0
print_info: model type = 671B
print_info: model params = 671.03 B
print_info: general.name = DeepSeek R1 BF16
print_info: n_layer_dense_lead = 3
print_info: n_lora_q = 1536
print_info: n_lora_kv = 512
print_info: n_ff_exp = 2048
print_info: n_expert_shared = 1
print_info: expert_weights_scale = 2.5
print_info: expert_weights_norm = 1
print_info: expert_gating_func = sigmoid
print_info: rope_yarn_log_mul = 0.1000
print_info: vocab type = BPE
print_info: n_vocab = 129280
print_info: n_merges = 127741
print_info: BOS token = 0 '<|begin▁of▁sentence|>'
print_info: EOS token = 1 '<|end▁of▁sentence|>'
print_info: EOT token = 1 '<|end▁of▁sentence|>'
print_info: PAD token = 128815 '<|PAD▁TOKEN|>'
print_info: LF token = 201 'Ċ'
print_info: FIM PRE token = 128801 '<|fim▁begin|>'
print_info: FIM SUF token = 128800 '<|fim▁hole|>'
print_info: FIM MID token = 128802 '<|fim▁end|>'
print_info: EOG token = 1 '<|end▁of▁sentence|>'
print_info: max token length = 256
load_tensors: offloading 0 repeating layers to GPU
load_tensors: offloaded 0/62 layers to GPU
load_tensors: CPU_Mapped model buffer size = 45565.90 MiB
load_tensors: CPU_Mapped model buffer size = 46661.11 MiB
load_tensors: CPU_Mapped model buffer size = 46661.11 MiB
load_tensors: CPU_Mapped model buffer size = 46661.11 MiB
load_tensors: CPU_Mapped model buffer size = 46661.11 MiB
load_tensors: CPU_Mapped model buffer size = 46661.11 MiB
load_tensors: CPU_Mapped model buffer size = 46661.11 MiB
load_tensors: CPU_Mapped model buffer size = 46661.11 MiB
load_tensors: CPU_Mapped model buffer size = 46661.11 MiB
load_tensors: CPU_Mapped model buffer size = 46661.11 MiB
load_tensors: CPU_Mapped model buffer size = 46661.11 MiB
load_tensors: CPU_Mapped model buffer size = 46661.11 MiB
load_tensors: CPU_Mapped model buffer size = 46661.11 MiB
load_tensors: CPU_Mapped model buffer size = 46661.11 MiB
load_tensors: CPU_Mapped model buffer size = 28077.60 MiB
llama_init_from_model: n_seq_max = 1
llama_init_from_model: n_ctx = 4096
llama_init_from_model: n_ctx_per_seq = 4096
llama_init_from_model: n_batch = 2048
llama_init_from_model: n_ubatch = 512
llama_init_from_model: flash_attn = 0
llama_init_from_model: freq_base = 10000.0
llama_init_from_model: freq_scale = 0.025
llama_init_from_model: n_ctx_per_seq (4096) < n_ctx_train (163840) -- the full capacity of the model will not be utilized
llama_kv_cache_init: kv_size = 4096, offload = 1, type_k = 'f16', type_v = 'f16', n_layer = 61, can_shift = 0
llama_kv_cache_init: CPU KV buffer size = 19520.00 MiB
llama_init_from_model: KV self size = 19520.00 MiB, K (f16): 11712.00 MiB, V (f16): 7808.00 MiB
llama_init_from_model: CPU output buffer size = 0.49 MiB
llama_init_from_model: CPU compute buffer size = 1186.01 MiB
llama_init_from_model: graph nodes = 5025
llama_init_from_model: graph splits = 1
common_init_from_params: KV cache shifting is not supported for this model, disabling KV cache shifting
common_init_from_params: setting dry_penalty_last_n to ctx_size = 4096
common_init_from_params: warming up the model with an empty run - please wait ... (--no-warmup to disable)
main: llama threadpool init, n_threads = 28
main: chat template is available, enabling conversation mode (disable it with -no-cnv) main: chat template example:
You are a helpful assistant

<|User|>Hello<|Assistant|>Hi there<|end▁of▁sentence|><|User|>How are you?<|Ass
istant|>

system_info: n_threads = 28 (n_threads_batch = 28) / 28 | CPU : SSE3 = 1 | SSSE3 = 1 | AVX = 1 | AVX2 = 1 | F16C = 1 | FMA = 1 | AVX512 = 1 | LLAMAFILE = 1 | OPENMP = 1 | AARCH64_REPACK = 1 |

main: interactive mode on.
sampler seed: 526007933
sampler params:
repeat_last_n = 64, repeat_penalty = 1.000, frequency_penalty = 0.000, presence_penalty = 0.000
dry_multiplier = 0.000, dry_base = 1.750, dry_allowed_length = 2, dry_penalty_last_n = 4096
top_k = 40, top_p = 0.950, min_p = 0.050, xtc_probability = 0.000, xtc_threshold = 0.100, typical_p = 1.000, temp = 0.800
mirostat = 0, mirostat_lr = 0.100, mirostat_ent = 5.000
sampler chain: logits -> logit-bias -> penalties -> dry -> top-k -> typical -> top-p -> min-p -> xtc -> temp-ext -> dist
generate: n_ctx = 4096, n_batch = 2048, n_predict = 4096, n_keep = 1

== Running in interactive mode. ==

  • Press Ctrl+C to interject at any time.

  • Press Return to return control to the AI.

  • To return control without starting a new line, end your input with '/'.

  • If you want to submit another line, end your input with ''.

Hi!

«Работаем»

Ну вот прям «работой» это назвать сложно, потому что это всё отчаянно медленно.

Сразу после запуска модель целиком в память не грузится (точнее не «коммитится»), она как бы «догружается» при общении и количество занятой памяти растёт по мере работы, выходя на «плато» после двух-трёх промптов.

При первом «холодном» старте до появления приглашения проходит почти две минуты, дальше она радует нас примерно токеном в секунду.

Я смастерил такую вот несложную оснастку, показывающую загрузку памяти и процессора, ну и таймер до кучи, что б вы прочувствовали эту боль (я ещё вырезал примерно минуту, пока часть модели грузилась с диска в память, остальное оставлю в реальном времени как есть):

fwdyna4ul4ucut-zug3yhonhhwc.gif

Как видите, память заполнилась примерно на треть после старта и чуть более чем наполовину после первого промпта.

Если вводить следующие вопросы, то модель будет догружаться. Нет смысла мучить вас медленным выводом, я буду снимать кадр в секунду, проигрывая гифку с примерно двадцатикратным ускорением. Попросим у неё Рунге-Кутта, хорошо видно, как она на ходу задействует семьсот гигабайт памяти почти под завязку:

bvw8db0gki2rnbcr1k77z3lih-u.gif

Вот вывод «как есть»:

Can you please provide C code of Runge Kutta Method for (x-y)/(x+y)?

Hi, DeepSeek!

Hi! How can I assist you today?

Can you please provide C code of Runge Kutta Method for (x-y)/(x+y)?

Certainly! The Runge-Kutta method is a numerical technique used to solve ordinary differential equations (ODEs). For the differential equation dy/dx = (x - y)/(x + y), we can apply the 4th-order Runge-Kutta method (RK4). Here's a C code implementation:

#include <stdio.h>
#include <math.h>

// Define the differential equation dy/dx = (x - y)/(x + y)
double f(double x, double y) {
    return (x - y) / (x + y);
}

// 4th-order Runge-Kutta method
void rungeKutta4(double x0, double y0, double h, double x_target) {
    double x = x0;
    double y = y0;
    double k1, k2, k3, k4;

    printf("Initial conditions: x = %lf, y = %lf\n", x, y);

    while (x < x_target) {
        if (x + h > x_target) {
            h = x_target - x; // Adjust step to reach x_target exactly
        }

        k1 = h * f(x, y);
        k2 = h * f(x + h/2, y + k1/2);
        k3 = h * f(x + h/2, y + k2/2);
        k4 = h * f(x + h, y + k3);

        y = y + (k1 + 2*k2 + 2*k3 + k4)/6;
        x = x + h;

        printf("x = %lf, y = %lf\n", x, y);
    }
}

int main() {
    double x0 = 1.0;   // Initial x
    double y0 = 0.0;   // Initial y
    double h = 0.1;    // Step size
    double x_target = 2.0; // Target x value

    rungeKutta4(x0, y0, h, x_target);
    return 0;
}

Important Notes:

  1. Initial Conditions: The current example uses x0=1.0, y0=0.0, step size h=0.1, and integrates up to x_target=2.0. Adjust these values as needed.

  2. Division by Zero: The function f(x,y) will have a division by zero if x + y = 0. Ensure your initial conditions and step size avoid this scenario.

  3. Adaptive Step Size: For better accuracy, you might want to implement adaptive step size control, but this example uses a fixed step size for simplicity.

  4. Output: The code prints the solution at each step. Modify the printf statements as needed for your use case.

Let me know if you need further clarification!

На всё про всё у неё ушло десять минут реального времени (проверку корректности решения оставим за кадром). Процессор, как видите, был занят чуть больше чем на половину. Тут надо заметить, что у меня был включён гипертрединг (ну или гиперпоточность), так что сегодня утром первым делом я его отключил и повторил эксперимент, и да, отключение НТ уверенно кладёт стрелку нашего спидометра на ограничитель, теперь все ядра активно заняты (кстати, конкретно этот hp вовсе не ревёт при этом как самолёт, идущий на взлёт, что приятно):

ks6qmc7be895eh3y01j0sblzryk.gif

По скорости сильных изменений в производительности я не заметил, примерно тоже самое, токен в секунду или около того. Но гораздо интереснее тут другое. Шёл второй день экспериментов, я и пожелал модели доброго утра (я обычно вежливый, да, в том числе с ИИ). Она очень обрадовалась, просветлела (даже несмотря на то, что я ошибся в имени), и на мой стандартный вопрос про Рунге-Кутта пустилась в пространные размышления о смысле жизни на сорок минут (время в гифке выше).

И вот тут как раз возник тот «ага!» момент, о котором много где упоминали, когда модель выдаёт что-то типа "Wait, but the step function can be part of the loop. Alternatively, write a function that takes x, y, h, and returns the new y..."

Вообще я считаю, что выданная простыня вполне заслуживает того, чтобы быть приведённой полностью.

Очень много букв

Good morning, DeppSeek!

Okay, the user greeted me with "Good morning, DeppSeek!" Let me start by acknowledging their greeting and setting a friendly tone. Maybe I should respond with a cheerful good morning and ask how I can assist them today. Since they might need help with something specific, I should keep the response open-ended to encourage them to share their request. I'll make sure to keep it concise and welcoming.

Good morning! � How can I assist you today? Whether it's brainstorming ideas, solving
a problem, or just chatting, I'm here to help! Let me know what's on your mind. �

Please provide C code for Runge Kutta method for (x-y)/(x+y)

Okay, the user is asking for C code that implements the Runge-Kutta method for the differential equation given by (x - y)/(x + y). Let me start by recalling what the Runge-Kutta method is. The fourth-order Runge-Kutta (RK4) method is a numerical technique used to solve ordinary differential equations (ODEs) with a given initial condition. It's more accurate than Euler's method because it uses multiple intermediate steps to approximate the solution over each interval.

First, I need to confirm the ODE the user wants to solve. The function provided is (x - y)/(x + y). Typically, ODEs are expressed as dy/dx = f(x, y), so I'll assume that the differential equation here is dy/dx = (x - y)/(x + y). That makes sense.

Next, I should outline the RK4 method. The RK4 method computes the next value y_{n+1} using the current value y_n and the weighted average of four increments:

k1 = h * f(x_n, y_n)
k2 = h * f(x_n + h/2, y_n + k1/2)
k3 = h * f(x_n + h/2, y_n + k2/2)
k4 = h * f(x_n + h, y_n + k3)

Then, y_{n+1} = y_n + (k1 + 2k2 + 2k3 + k4)/6

So, in the C code, I'll need to implement this formula.

The user wants a C program. Let me structure the code step by step. The code should include the necessary headers, define the function f(x, y) corresponding to the ODE, and implement the RK4 step as a function. Then, in the main function, set the initial conditions, step size h, number of steps, and loop through each step to compute the solution.

Wait, initial conditions are needed. Since the user didn't specify them, I should choose a default initial value, say x0, y0, and a range for x. Let's assume the user wants to start at some x0 (like 0) with y0, and compute up to a certain point. But since the user didn't specify, perhaps the code should take initial values, step size, and number of steps as inputs or define them as constants. To make it simple, maybe hardcode initial x and y, step size h, and the number of steps. Then, in the code comments, mention that these can be adjusted.

Also, need to be cautious about division by zero in the function (x + y) could be zero. The code should handle cases where x + y is zero, but since the user hasn't specified error handling, perhaps just note that in the comments.

Let me outline the code:

  1. Include standard headers (stdio.h, math.h if needed, but here maybe not necessary). 2. Define the function f(x, y) which returns (x - y)/(x + y).

  2. Implement the RK4 step function that takes current x, y, step h, computes k1-k4, updates y.

  3. In main, set initial x0, y0, h, number of steps.

  4. Loop over the steps, compute each step, print x and y.

But let's test this with an example. Suppose initial x0 is 1, y0 is 1, h=0.1, and compute a few steps. Wait, but if x0=1 and y0=1, then x + y = 2, so the function is (1-1)/2 = 0. So the first step would compute k1 to k4 based on that. However, if x and y start at 0, the denominator is zero. So need to ensure the initial values don't cause division by zero. So perhaps in the code example, choose x0=1, y0=2, just to have a safe starting point.

Alternatively, ask the user for input. But since the user didn't specify, it's better to hardcode values and mention in comments to adjust them.

Another point: in the code, when computing x, since the ODE is dy/dx = f(x,y), each step advances x by h. So in the main loop, after each step, x increases by h.

Putting it all together:

The code will have:

  • Function definition for f(x, y)

  • A function to perform one RK4 step

  • Main function with loop

Wait, but the step function can be part of the loop. Alternatively, write a function that takes x, y, h, and returns the new y.

Yes, that's better. So:

double rungeKuttaStep(double x, double y, double h) {
    compute k1, k2, k3, k4
    return y + (k1 + 2*k2 + 2*k3 + k4)/6;
}

But since each k depends on evaluations at different points, need to compute them step by step.

So here's the step-by-step code:

#include <stdio.h>

double f(double x, double y) {
    return (x - y) / (x + y);
}

void rungeKutta4(double *x, double *y, double h) {
    double k1 = h * f(*x, *y);
    double k2 = h * f(*x + h/2, *y + k1/2);
    double k3 = h * f(*x + h/2, *y + k2/2);
    double k4 = h * f(*x + h, *y + k3);

    *y += (k1 + 2*k2 + 2*k3 + k4) / 6;
    *x += h;
}

int main() {
    double x0 = 1.0;  // Initial x
    double y0 = 2.0;  // Initial y
    double h = 0.1;    // Step size
    int steps = 10;    // Number of steps

    printf("Initial conditions: x = %f, y = %f\n", x0, y0);
    printf("Step size: %f\n", h);
    printf("Number of steps: %d\n\n", steps);

    for (int i = 0; i < steps; i++) {
        rungeKutta4(&x0, &y0, h);
        printf("Step %d: x = %f, y = %f\n", i+1, x0, y0);
    }

    return 0;
}

Wait, no: in each call to rungeKutta4, x is incremented by h. But the loop in main is called steps times, so after each step, x increases by h. That's correct.

Wait, in the initial code, x0 starts at 1.0. Then, after the first call to rungeKutta4, x0 becomes 1.0 + h (since *x +=h). So the first step's x is 1.1, and the y is updated. That's correct.

But in RK4, when you compute k1, you use x_n, then k2 and k3 use x_n + h/2, and k4 uses x_n + h. Then, after all, x increments by h. So that's accurate.

Now, let's check if the function f is correctly implemented. Yes, (x - y)/(x + y).

But wait, the user wrote the differential equation as (x - y)/(x + y). So dy/dx = (x - y)/(x + y). The code correctly returns that.

Potential issues: division by zero when x + y is zero. But the example initial conditions x0=1.0 and y0=2.0 avoid that. The user may need to adjust initial conditions accordingly.

Also, the code prints after each step, showing x and y.

But the user might want to integrate over a specific interval. Let's see: if h=0.1 and steps=10, x goes from 1.0 to 1.0 + 10*0.1=2.0.

Yes. So the code as written is correct.

I should test this code to ensure there are no syntax errors. Let me see:

  • The function rungeKutta4 takes pointers to x and y, modifies them in place.

  • The main function loops steps times, each time calling the function and printing.

  • The f function is correctly defined.

Yes, this should compile and run.

However, in the main loop, the initial print is before the loop, so the initial x and y are printed, then the loop starts. But the first call to rungeKutta4 modifies x0 and y0 to the next step. Then, the first printed step is after the first update. So the first printed step is Step 1: x=1.1, y= updated value.

If the user wants to see the values at each step including the initial, maybe the code should print before updating. But in the code as written, the initial conditions are printed once, then the loop starts, updates, and prints the new x and y each time. So the output shows the progression from the initial step onwards. That's okay.

Alternatively, adjust the code to print after each step, which is what is done here.

I think this code should work. Therefore, the answer should include this code with explanations of the parameters and a note about potential division by zero.

Here's a C implementation of the 4th-order Runge-Kutta method for the differential equation dy/dx = (x - y)/(x + y):

#include <stdio.h>

// Define the differential equation dy/dx = (x - y)/(x + y)
double f(double x, double y) {
    return (x - y)/(x + y);
}

// Performs one iteration of RK4 method
void rk4_step(double *x, double *y, double h) {
    double k1 = h * f(*x, *y);
    double k2 = h * f(*x + h/2, *y + k1/2);
    double k3 = h * f(*x + h/2, *y + k2/2);
    double k4 = h * f(*x + h, *y + k3);

    *y += (k1 + 2*k2 + 2*k3 + k4)/6;
    *x += h;
}

int main() {
    // Initial conditions
    double x0 = 1.0;    // Initial x-value
    double y0 = 0.5;    // Initial y-value
    double h = 0.1;     // Step size
    int steps = 10;     // Number of steps

    printf("Starting at: x = %.2f, y = %.2f\n", x0, y0);
    printf("Step size: %.2f\n", h);
    printf("Number of steps: %d\n\n", steps);

    for(int i = 1; i <= steps; i++) {
        rk4_step(&x0, &y0, h);
        printf("Step %2d: x = %.3f, y = %.6f\n", i, x0, y0);
    }

    return 0;
}

Key components:

  1. f(x, y) - Implements the differential equation

  2. rk4_step() - Performs one RK4 iteration

  3. main() - Controls the simulation with parameters:

    • Initial conditions (x0, y0)

    • Step size (h)

    • Number of steps

Notes:

  • Adjust x0, y0, h, and steps as needed

  • Be cautious when x + y = 0 (potential division by zero)

  • Accuracy depends on step size h (smaller h = more precision)

  • Output shows x/y values at each step

To use this program:

  1. Compile with any C compiler (e.g., gcc rk4.c -o rk4)

  2. Run the executable

  3. Modify initial values for different starting conditions

Would you like me to explain any part in more detail or modify specific aspects of the implementation?

Насколько этот опус лучше того, что был приведён выше, это уже другой вопрос, но разительным образом отличающийся ответ от предыдущего при почти идентичном промпте — это любопытный момент (параметры запуска я, ясное дело, никак не менял).

Кстати, о параметрах. Есть два режима запуска.

Первый вот такой, он называется "Text generation":

llama-cli.exe -m your_model.gguf -p "Hi!" -n 4096

А второй с ключом -cnv — "Сhat (conversation)"

llama-cli.exe -m your_model.gguf -p "Hello!" -cnv

Первый используется в том случае, если искуственный интеллект пишет за вас диссертацию, а второй — если он используется в качестве собеседника (чат-бота). При этом инструкция говорит, что модель должна быть «заточена» под этот режим. В принципе вы можете попросить её саму рассказать об отличиях, она напишет, что в Чат режиме можно использовать структурированные реплики с метками (например, [INST], <<SYS>>), останавливать её токенами конца диалога (например, </s>) и что то там ещё.

Я попробовал и так и сяк и основное отличие, которое заметил, это то, что объяснения в режиме «чат общения» сопровождаются готовыми формулами в TeX формате, выглядит это вот так, если я вставлю вывод прямо в редактор хабра:


Explanation:

  1. Function f: Implements the differential equation

( \frac{dy}{dx} = \frac{x - y}{x + y} ).
  1. RK4 Method:

    • Takes initial conditions (x0, y0), step size h, and target x_target.

    • Iteratively computes the next y using the RK4 formulas:

      k_1 = h \cdot f(x_n, y_n),k_2 = h \cdot f(x_n + \frac{h}{2}, y_n + \frac{k_1}{2}),k_3 = h \cdot f(x_n + \frac{h}{2}, y_n + \frac{k_2}{2}),k_4 = h \cdot f(x_n + h, y_n + k_3),y_{n+1} = y_n + \frac{1}{6}(k_1 + 2k_2 + 2k_3 + k_4).

...

Вообще я верю, что если я попрошу переписать формулы в таком формате, она это по любому сделает, независимо от режима запуска, но просто вот такое наблюдение. Надо будет поэкспериментировать с другими моделями.

Ну а так — русский вроде знает:

sufsc0eag6dyctfy8o_0hzig7-u.png

Грамматику правит, альтернативы предлагает, историю общения помнит:

9mbcdxf1_fmhfkzp7bpjirni3nq.png

В стихах тоже может, по-немецки в том числе. Похоже, моя исходящая деловая корреспонденция станет несколько разнообразнее.

Короче у меня под столом завёлся личный секретарь, хоть и чутка тормознутый. Гугль, википедия, вольфрам математика, словарь, корректор в одном флаконе, да ещё и на разных языках. Если вы хотите его (или её) о чём-нибудь спросить — не стесняйтесь, задавайте вопросы в комментах, я с удовольствием передам ваши вопросы и опубликую ответы.

При завершении работы выдаёт статистику, около одного токена в секунду:

llama_perf_sampler_print: sampling time = 52.33 ms / 209 runs (0.25 ms per token,  3993.66 tokens per second)
llama_perf_context_print: load time = 89790.30 ms
llama_perf_context_print: prompt eval time = 87115.12 ms / 112 tokens (777.81 ms per token, 1.29 tokens per second)
llama_perf_context_print: eval time = 1883493.69 ms / 1777 runs (1059.93 ms per token,     0.94 tokens per second)
llama_perf_context_print: total time = 3136520.40 ms / 1889 tokens

Кому не нравится консоль, можно запустить и вот так:

llama-server.exe -m DeepSeek-R1.Q8_0-00001-of-00015.gguf --port 8082

Эта штука поднимет веб сервер (по умолчанию на порту 8080, но он у меня занят, так что 8082), будет красивее:

j4qjxg4gicuvjkc8aa4j-s0fgce.png

Плюс там в настройках можно кое-что подкрутить, например она может писать количество токенов в секунду в каждом ответе, но меня консоль в общем не смущает.

Производительность

Она, конечно удручает. Безусловно, более быстрая память типа DDR5 слегка улучшит ситуацию. В идеале надо иметь быструю GPU память, но пяток адаптеров типа NVIDIA H200, у которых по 141 ГБ памяти с пропускной способностью под пять терабайт в секунду сразу отправят нас в мир шестизначных ценников.

Что по этой конфигурации, то там можно ещё немного попытаться подкрутить в BIOS.

Некоторый потенцал, возможно, кроется в NUMA:

w_xcn5giwwsrmvys9zg5gcaqcqw.jpeg

Пока что там не всё хорошо, но общественность этим уже озаботилась, на гитхабе висит открытый тикет — Feature Request: NUMA-aware MoE Expert Allocation for Improved Performanc #11333. Вообще когда мы упираемся в пропускную способность памяти — как отметили в комментах к изначальному посту с точки зрения эффективности не очень хорошо иметь два процессора, конкурирующих за общую память (хотя эффективная работа с двенадцатиканальной памятью на двухпроцессорной системе вкупе с NUMA — это отдельная тема, требующая дотошной проверки и бенчмарков).

По параметрам запуска я сильно не лазал, возможно там тоже что-то можно подкрутить.

Можно пересобрать всё из исходников и посмотреть, где проседает производительность и пройтись по «горячим точкам», да хоть тем же Intel VTune.

Но уже понятно, что сильно быстрее от этого не станет, и даже если раскочегарить всё вдвое-втрое, этого будет мало, надо раз этак в двадцать быстрее.

Некоторая надежда на OpenVINO, по идее там примерно вот так можно запуститься, если из Питона:

import openvino_genai
# will run the model on CPU, GPU, or NPU are possible options
pipe = openvino_genai.LLMPipeline("F:\<Тут Модель>", "CPU")
print(pipe.generate("The answer to life, the universe, and everything?", max_new_tokes =4096)

Но напрямую gguf не поддерживается, там конвертировать надо, пока не брался. Если кто-нибудь уже делал подход к этому снаряду — напишите, пожалуйста в комментах.

AVX-512 — тоже отдельная тема, бывает и так, что код, черезчур активно использующий эти инструкции, начинает притормаживать из-за того, что процессор снижает частоту (ему слишком много транзисторов одномоментно переключать бывает сложновато и он греется), кроме того разные компиляторы отличаются эффективностью кодогенерации, можно попробовать пересобрать, скажем Intel OneAPI.

Если брать не такие увесистые модели, то, конечно, всё работает резвее, но и «качество» вывода падает — для того же Рунге-Кутта описание алгоритма ещё выдаётся, а вот исходный код — уже нет (хотя есть «coder» модели, заточенные как раз под написание кода, надо будет попробовать).

Но в общем и целом впечатляет, это да.

А, совсем забыл,

ответ на загадку про фильм

Hello, DeepSeek!

Greetings! I'm DeepSeek-R1, an artificial intelligence assistant created by DeepSeek.
For comprehensive details about our models and products, we invite you to consult our official documentation.

Can you please suggest the title of the Movie from mid 90s about Gigabytes?

The movie you're thinking of from the mid-90s that involves gigabytes and hacking is likely "Hackers" (1995). It prominently features themes of computer hacking, data, and includes references to large amounts of data (gigabytes), though its portrayal of technology is stylized and not entirely accurate. Another possibility is "The Net" (1995), which revolves around cyber-threats and data manipulation. Both films capture the tech-centric paranoia of that era! Let me know if you'd like more details. �

No, I mean Movie about transferring large volumes of the data

Ah, got it! The mid-90s movie centered around transferring large volumes of data—specifically gigabytes—is "Sneakers" (1992). While it’s slightly earlier than the mid-90s, it’s often associated with that era and involves a team of security experts tasked with stealing a "black box" device capable of decrypting any system, which ties into data transmission and security. If you’re looking for something strictly mid-90s, "Johnny Mnemonic" (1995) features a protagonist who carries sensitive data (160GB!) in his brain implant, navigating a cyberpunk world to deliver it. Either could fit your description! �

Со второй попытки — бинго! Речь шла про киберпанковский «Джонни-мнемоник» c Киану Ривзом. Триста c лишним гигабайт, о которых там речь, казались нам чудовищным объёмом в то время. Времена меняются, прогресс идёт.

Всем добра!

Источник

  • 07.09.23 16:24 CherryTeam

    Cherry Team atlyginimų skaičiavimo programa yra labai naudingas įrankis įmonėms, kai reikia efektyviai valdyti ir skaičiuoti darbuotojų atlyginimus. Ši programinė įranga, turinti išsamias funkcijas ir patogią naudotojo sąsają, suteikia daug privalumų, kurie padeda supaprastinti darbo užmokesčio skaičiavimo procesus ir pagerinti finansų valdymą. Štai keletas pagrindinių priežasčių, kodėl Cherry Team atlyginimų skaičiavimo programa yra naudinga įmonėms: Automatizuoti ir tikslūs skaičiavimai: Atlyginimų skaičiavimai rankiniu būdu gali būti klaidingi ir reikalauti daug laiko. Programinė įranga Cherry Team automatizuoja visą atlyginimų skaičiavimo procesą, todėl nebereikia atlikti skaičiavimų rankiniu būdu ir sumažėja klaidų rizika. Tiksliai apskaičiuodama atlyginimus, įskaitant tokius veiksnius, kaip pagrindinis atlyginimas, viršvalandžiai, premijos, išskaitos ir mokesčiai, programa užtikrina tikslius ir be klaidų darbo užmokesčio skaičiavimo rezultatus. Sutaupoma laiko ir išlaidų: Darbo užmokesčio valdymas gali būti daug darbo jėgos reikalaujanti užduotis, reikalaujanti daug laiko ir išteklių. Programa Cherry Team supaprastina ir pagreitina darbo užmokesčio skaičiavimo procesą, nes automatizuoja skaičiavimus, generuoja darbo užmokesčio žiniaraščius ir tvarko išskaičiuojamus mokesčius. Šis automatizavimas padeda įmonėms sutaupyti daug laiko ir pastangų, todėl žmogiškųjų išteklių ir finansų komandos gali sutelkti dėmesį į strategiškai svarbesnę veiklą. Be to, racionalizuodamos darbo užmokesčio operacijas, įmonės gali sumažinti administracines išlaidas, susijusias su rankiniu darbo užmokesčio tvarkymu. Mokesčių ir darbo teisės aktų laikymasis: Įmonėms labai svarbu laikytis mokesčių ir darbo teisės aktų, kad išvengtų baudų ir teisinių problemų. Programinė įranga Cherry Team seka besikeičiančius mokesčių įstatymus ir darbo reglamentus, užtikrindama tikslius skaičiavimus ir teisinių reikalavimų laikymąsi. Programa gali dirbti su sudėtingais mokesčių scenarijais, pavyzdžiui, keliomis mokesčių grupėmis ir įvairių rūšių atskaitymais, todėl užtikrina atitiktį reikalavimams ir kartu sumažina klaidų riziką. Ataskaitų rengimas ir analizė: Programa Cherry Team siūlo patikimas ataskaitų teikimo ir analizės galimybes, suteikiančias įmonėms vertingų įžvalgų apie darbo užmokesčio duomenis. Ji gali generuoti ataskaitas apie įvairius aspektus, pavyzdžiui, darbo užmokesčio paskirstymą, išskaičiuojamus mokesčius ir darbo sąnaudas. Šios ataskaitos leidžia įmonėms analizuoti darbo užmokesčio tendencijas, nustatyti tobulintinas sritis ir priimti pagrįstus finansinius sprendimus. Pasinaudodamos duomenimis pagrįstomis įžvalgomis, įmonės gali optimizuoti savo darbo užmokesčio strategijas ir veiksmingai kontroliuoti išlaidas. Integracija su kitomis sistemomis: Cherry Team programinė įranga dažnai sklandžiai integruojama su kitomis personalo ir apskaitos sistemomis. Tokia integracija leidžia automatiškai perkelti atitinkamus duomenis, pavyzdžiui, informaciją apie darbuotojus ir finansinius įrašus, todėl nebereikia dubliuoti duomenų. Supaprastintas duomenų srautas tarp sistemų padidina bendrą efektyvumą ir sumažina duomenų klaidų ar neatitikimų riziką. Cherry Team atlyginimų apskaičiavimo programa įmonėms teikia didelę naudą - automatiniai ir tikslūs skaičiavimai, laiko ir sąnaudų taupymas, atitiktis mokesčių ir darbo teisės aktų reikalavimams, ataskaitų teikimo ir analizės galimybės bei integracija su kitomis sistemomis. Naudodamos šią programinę įrangą įmonės gali supaprastinti darbo užmokesčio skaičiavimo procesus, užtikrinti tikslumą ir atitiktį reikalavimams, padidinti darbuotojų pasitenkinimą ir gauti vertingų įžvalgų apie savo finansinius duomenis. Programa Cherry Team pasirodo esanti nepakeičiamas įrankis įmonėms, siekiančioms efektyviai ir veiksmingai valdyti darbo užmokestį. https://cherryteam.lt/lt/

  • 08.10.23 01:30 davec8080

    The "Shibarium for this confirmed rug pull is a BEP-20 project not related at all to Shibarium, SHIB, BONE or LEASH. The Plot Thickens. Someone posted the actual transactions!!!! https://bscscan.com/tx/0xa846ea0367c89c3f0bbfcc221cceea4c90d8f56ead2eb479d4cee41c75e02c97 It seems the article is true!!!! And it's also FUD. Let me explain. Check this link: https://bscscan.com/token/0x5a752c9fe3520522ea88f37a41c3ddd97c022c2f So there really is a "Shibarium" token. And somebody did a rug pull with it. CONFIRMED. But the "Shibarium" token for this confirmed rug pull is a BEP-20 project not related at all to Shibarium, SHIB, BONE or LEASH.

  • 24.06.24 04:31 tashandiarisha

    Web-site. https://trustgeekshackexpert.com/ Tele-Gram, trustgeekshackexpert During the pandemic, I ventured into the world of cryptocurrency trading. My father loaned me $10,000, which I used to purchase my first bitcoins. With diligent research and some luck, I managed to grow my investment to over $350,000 in just a couple of years. I was thrilled with my success, but my excitement was short-lived when I decided to switch brokers and inadvertently fell victim to a phishing attack. While creating a new account, I received what seemed like a legitimate email requesting verification. Without second-guessing, I provided my information, only to realize later that I had lost access to my email and cryptocurrency wallets. Panic set in as I watched my hard-earned assets disappear before my eyes. Desperate to recover my funds, I scoured the internet for solutions. That's when I stumbled upon the Trust Geeks Hack Expert on the Internet. The service claimed to specialize in recovering lost crypto assets, and I decided to take a chance. Upon contacting them, the team swung into action immediately. They guided me through the entire recovery process with professionalism and efficiency. The advantages of using the Trust Geeks Hack Expert Tool became apparent from the start. Their team was knowledgeable and empathetic, understanding the urgency and stress of my situation. They employed advanced security measures to ensure my information was handled safely and securely. One of the key benefits of the Trust Geeks Hack Expert Tool was its user-friendly interface, which made a complex process much more manageable for someone like me, who isn't particularly tech-savvy. They also offered 24/7 support, so I never felt alone during recovery. Their transparent communication and regular updates kept me informed and reassured throughout. The Trust Geeks Hack Expert Tool is the best solution for anyone facing similar issues. Their swift response, expertise, and customer-centric approach set them apart from other recovery services. Thanks to their efforts, I regained access to my accounts and my substantial crypto assets. The experience taught me a valuable lesson about online security and showed me the incredible potential of the Trust Geeks Hack Expert Tool. Email:: trustgeekshackexpert{@}fastservice{.}com WhatsApp  + 1.7.1.9.4.9.2.2.6.9.3

  • 26.06.24 18:46 Jacobethannn098

    LEGAL RECOUP FOR CRYPTO THEFT BY ADRIAN LAMO HACKER

  • 26.06.24 18:46 Jacobethannn098

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  • 04.07.24 04:49 ZionNaomi

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  • 13.07.24 21:13 michaelharrell825

    In 2020, amidst the economic fallout of the pandemic, I found myself unexpectedly unemployed and turned to Forex trading in hopes of stabilizing my finances. Like many, I was drawn in by the promise of quick returns offered by various Forex robots, signals, and trading advisers. However, most of these products turned out to be disappointing, with claims that were far from reality. Looking back, I realize I should have been more cautious, but the allure of financial security clouded my judgment during those uncertain times. Amidst these disappointments, Profit Forex emerged as a standout. Not only did they provide reliable service, but they also delivered tangible results—a rarity in an industry often plagued by exaggerated claims. The positive reviews from other users validated my own experience, highlighting their commitment to delivering genuine outcomes and emphasizing sound financial practices. My journey with Profit Forex led to a net profit of $11,500, a significant achievement given the challenges I faced. However, my optimism was short-lived when I encountered obstacles trying to withdraw funds from my trading account. Despite repeated attempts, I found myself unable to access my money, leaving me frustrated and uncertain about my financial future. Fortunately, my fortunes changed when I discovered PRO WIZARD GIlBERT RECOVERY. Their reputation for recovering funds from fraudulent schemes gave me hope in reclaiming what was rightfully mine. With a mixture of desperation and cautious optimism, I reached out to them for assistance. PRO WIZARD GIlBERT RECOVERY impressed me from the start with their professionalism and deep understanding of financial disputes. They took a methodical approach, using advanced techniques to track down the scammers responsible for withholding my funds. Throughout the process, their communication was clear and reassuring, providing much-needed support during a stressful period. Thanks to PRO WIZARD GIlBERT RECOVERY's expertise and unwavering dedication, I finally achieved a resolution to my ordeal. They successfully traced and retrieved my funds, restoring a sense of justice and relief. Their intervention not only recovered my money but also renewed my faith in ethical financial services. Reflecting on my experience, I've learned invaluable lessons about the importance of due diligence and discernment in navigating the Forex market. While setbacks are inevitable, partnering with reputable recovery specialists like PRO WIZARD GIlBERT RECOVERY can make a profound difference. Their integrity and effectiveness have left an indelible mark on me, guiding my future decisions and reinforcing the value of trustworthy partnerships in achieving financial goals. I wholeheartedly recommend PRO WIZARD GIlBERT RECOVERY to anyone grappling with financial fraud or disputes. Their expertise and commitment to client satisfaction are unparalleled, offering a beacon of hope in challenging times. Thank you, PRO WIZARD GIlBERT RECOVERY, for your invaluable assistance in reclaiming what was rightfully mine. Your service not only recovered my funds but also restored my confidence in navigating the complexities of financial markets with greater caution and awareness. Email: prowizardgilbertrecovery(@)engineer.com Homepage: https://prowizardgilbertrecovery.xyz WhatsApp: +1 (516) 347‑9592

  • 17.07.24 02:26 thompsonrickey

    In the vast and often treacherous realm of online investments, I was entangled in a web of deceit that cost me nearly  $45,000. It all started innocuously enough with an enticing Instagram profile promising lucrative returns through cryptocurrency investment. Initially, everything seemed promising—communications were smooth, and assurances were plentiful. However, as time passed, my optimism turned to suspicion. Withdrawal requests were met with delays and excuses. The once-responsive "investor" vanished into thin air, leaving me stranded with dwindling hopes and a sinking feeling in my gut. It became painfully clear that I had been duped by a sophisticated scheme designed to exploit trust and naivety. Desperate to recover my funds, I turned to online forums where I discovered numerous testimonials advocating for Muyern Trust Hacker. With nothing to lose, I contacted them, recounting my ordeal with a mixture of skepticism and hope. Their swift response and professional demeanor immediately reassured me that I had found a lifeline amidst the chaos. Muyern Trust Hacker wasted no time in taking action. They meticulously gathered evidence, navigated legal complexities, and deployed their expertise to expedite recovery. In what felt like a whirlwind of activity, although the passage of time was a blur amidst my anxiety, they achieved the seemingly impossible—my stolen funds were returned. The relief I felt was overwhelming. Muyern Trust Hacker not only restored my financial losses but also restored my faith in justice. Their commitment to integrity and their relentless pursuit of resolution were nothing short of remarkable. They proved themselves as recovery specialists and guardians against digital fraud, offering hope to victims like me who had been ensnared by deception. My gratitude knows no bounds for Muyern Trust Hacker. Reach them at muyerntrusted @ m a i l - m e . c o m AND Tele gram @ muyerntrusthackertech

  • 18.07.24 20:13 austinagastya

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  • 27.08.24 12:50 James889900

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  • 27.08.24 13:06 James889900

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  • 02.09.24 20:24 [email protected]

    If You Need Hacker To Recover Your Bitcoin Contact Paradox Recovery Wizard Paradox Recovery Wizard successfully recovered $123,000 worth of Bitcoin for my husband, which he had lost due to a security breach. The process was efficient and secure, with their expert team guiding us through each step. They were able to trace and retrieve the lost cryptocurrency, restoring our peace of mind and financial stability. Their professionalism and expertise were instrumental in recovering our assets, and we are incredibly grateful for their service. Email: support@ paradoxrecoverywizard.com Email: paradox_recovery @cyberservices.com Wep: https://paradoxrecoverywizard.com/ WhatsApp: +39 351 222 3051.

  • 06.09.24 01:35 Celinagarcia

    HOW TO RECOVER MONEY LOST IN BITCOIN/USDT TRADING OR TO CRYPTO INVESTMENT !! Hi all, friends and families. I am writing From Alberton Canada. Last year I tried to invest in cryptocurrency trading in 2023, but lost a significant amount of money to scammers. I was cheated of my money, but thank God, I was referred to Hack Recovery Wizard they are among the best bitcoin recovery specialists on the planet. they helped me get every penny I lost to the scammers back to me with their forensic techniques. and I would like to take this opportunity to advise everyone to avoid making cryptocurrency investments online. If you ​​​​​​have already lost money on forex, cryptocurrency or Ponzi schemes, please contact [email protected] or WhatsApp: +1 (757) 237–1724 at once they can help you get back the crypto you lost to scammers. BEST WISHES. Celina Garcia.

  • 06.09.24 01:44 Celinagarcia

    HOW TO RECOVER MONEY LOST IN BITCOIN/USDT TRADING OR TO CRYPTO INVESTMENT !! Hi all, friends and families. I am writing From Alberton Canada. Last year I tried to invest in cryptocurrency trading in 2023, but lost a significant amount of money to scammers. I was cheated of my money, but thank God, I was referred to Hack Recovery Wizard they are among the best bitcoin recovery specialists on the planet. they helped me get every penny I lost to the scammers back to me with their forensic techniques. and I would like to take this opportunity to advise everyone to avoid making cryptocurrency investments online. If you ​​​​​​have already lost money on forex, cryptocurrency or Ponzi schemes, please contact [email protected] or WhatsApp: +1 (757) 237–1724 at once they can help you get back the crypto you lost to scammers. BEST WISHES. Celina Garcia.

  • 16.09.24 00:10 marcusaustin

    Bitcoin Recovery Services: Restoring Lost Cryptocurrency If you've lost access to your cryptocurrency and unable to make a withdrawal, I highly recommend iBolt Cyber Hacker Bitcoin Recovery Services. Their team is skilled, professional, and efficient in recovering lost Bitcoin. They provide clear communication, maintain high security standards, and work quickly to resolve issues. Facing the stress of lost cryptocurrency, iBolt Cyber Hacker is a trusted service that will help you regain access to your funds securely and reliably. Highly recommended! Email: S u p p o r t @ ibolt cyber hack . com Cont/Whtp + 3. .9 .3. .5..0. .9. 2. 9. .0 .3. 1 .8. Website: h t t p s : / / ibolt cyber hack . com /

  • 16.09.24 00:11 marcusaustin

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  • 23.09.24 18:56 matthewshimself

    At first, I was admittedly skeptical about Worldcoin (ref: https://worldcoin.org/blog/worldcoin/this-is-worldcoin-video-explainer-series), particularly around the use of biometric data and the WLD token as a reward mechanism for it. However, after following the project closer, I’ve come to appreciate the broader vision and see the value in the underlying tech behind it. The concept of Proof of Personhood (ref: https://worldcoin.org/blog/worldcoin/proof-of-personhood-what-it-is-why-its-needed) has definitely caught my attention, and does seem like a crucial step towards tackling growing issues like bots, deepfakes, and identity fraud. Sam Altman’s vision is nothing short of ambitious, but I do think he & Alex Blania have the chops to realize it as mainstay in the global economy.

  • 01.10.24 14:54 Sinewclaudia

    I lost about $876k few months ago trading on a fake binary option investment websites. I didn't knew they were fake until I tried to withdraw. Immediately, I realized these guys were fake. I contacted Sinew Claudia world recovery, my friend who has such experience before and was able to recover them, recommended me to contact them. I'm a living testimony of a successful recovery now. You can contact the legitimate recovery company below for help and assistance. [email protected] [email protected] WhatsApp: 6262645164

  • 02.10.24 22:27 Emily Hunter

    Can those who have fallen victim to fraud get their money back? Yes, you might be able to get back what was taken from you if you fell prey to a fraud from an unregulated investing platform or any other scam, but only if you report it to the relevant authorities. With the right plan and supporting documentation, you can get back what you've lost. Most likely, the individuals in control of these unregulated platforms would attempt to convince you that what happened to your money was a sad accident when, in fact, it was a highly skilled heist. You should be aware that there are resources out there to help you if you or someone you know has experienced one of these circumstances. Do a search using (deftrecoup (.) c o m). Do not let the perpetrators of this hoaxes get away with ruining you mentally and financially.

  • 18.10.24 09:34 freidatollerud

    The growth of WIN44 in Brazil is very interesting! If you're looking for more options for online betting and casino games, I recommend checking out Casinos in Brazil. It's a reliable platform that offers a wide variety of games and provides a safe and enjoyable experience for users. It's worth checking out! https://win44.vip

  • 31.10.24 00:13 ytre89

    Can those who have fallen victim to fraud get their money back? Yes, you might be able to get back what was taken from you if you fell prey to a fraud from an unregulated investing platform or any other scam, but only if you report it to the relevant authorities. With the right plan and supporting documentation, you can get back what you've lost. Most likely, the individuals in control of these unregulated platforms would attempt to convince you that what happened to your money was a sad accident when, in fact, it was a highly skilled heist. You should be aware that there are resources out there to help you if you or someone you know has experienced one of these circumstances. Do a search using (deftrecoup (.) c o m). Do not let the perpetrators of this hoaxes get away with ruining you mentally and financially.

  • 02.11.24 14:44 diannamendoza732

    In the world of Bitcoin recovery, Pro Wizard Gilbert truly represents the gold standard. My experience with Gilbert revealed just how exceptional his methods are and why he stands out as the premier authority in this critical field. When I first encountered the complexities of Bitcoin recovery, I was daunted by the technical challenges and potential risks. Gilbert’s approach immediately distinguished itself through its precision and effectiveness. His methods are meticulously designed, combining cutting-edge techniques with an in-depth understanding of the Bitcoin ecosystem. He tackled the recovery process with a level of expertise and thoroughness that was both impressive and reassuring. What sets Gilbert’s methods apart is not just their technical sophistication but also their strategic depth. He conducts a comprehensive analysis of each case, tailoring his approach to address the unique aspects of the situation. This personalized strategy ensures that every recovery effort is optimized for success. Gilbert’s transparent communication throughout the process was invaluable, providing clarity and confidence during each stage of the recovery. The results I achieved with Pro Wizard Gilbert’s methods were remarkable. His gold standard approach not only recovered my Bitcoin but did so with an efficiency and reliability that exceeded my expectations. His deep knowledge, innovative techniques, and unwavering commitment make him the definitive expert in Bitcoin recovery. For anyone seeking a benchmark in Bitcoin recovery solutions, Pro Wizard Gilbert’s methods are the epitome of excellence. His ability to blend technical prowess with strategic insight truly sets him apart in the industry. Call: for help. You may get in touch with them at ; Email: (prowizardgilbertrecovery(@)engineer.com) Telegram ; https://t.me/Pro_Wizard_Gilbert_Recovery Homepage ; https://prowizardgilbertrecovery.info

  • 12.11.24 00:50 TERESA

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  • 17.11.24 09:31 Vivianlocke223

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    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]

  • 18.01.25 12:41 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]

  • 20.01.25 15:39 patricialovick86

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  • 22.01.25 21:43 DoraJaimes23

    Recovery expert. I lost my bitcoin to fake blockchain impostors on Facebook, they contacted me as blockchain official support and i fell stupidly for their mischievous act, this made them gain access into my blockchain wallet whereby 7.0938 btc was stolen from my wallet in total .I was almost in a comma and dumbfounded because this was all my savings i relied on . Then I made a research online and found a recovery expert , with the contact address- { RECOVERYHACKER101 (@) GMAIL . COM }... I wrote directly to the specialist explaining my loss. Hence, he helped me recover a significant part of my investment just after 2 days he helped me launch the recovery program , and the culprits were identified as well , all thanks to his expertise . I hope I have been able to help someone as well . Reach out to the recovery specialist to recover you lost funds from any form of online scam Thanks

  • 23.01.25 02:36 [email protected]

    After falling victim to a fraudulent Bitcoin mining scam, I found myself in a desperate situation. I had invested $50,000 into a cloud mining website called Miningpool, which turned out to be a complete scam. For months, I tried reaching out to the company, but I was unable to access my funds, and I quickly realized I had been taken for a ride. In my search for help, I came across TrustGeeks Hack Expert, a service that claimed to help people recover lost funds from crypto scams. Though skeptical at first, I decided to give them a try. Here’s my experience with their service.When I initially contacted TrustGeeks Hack Expert Email.. Trustgeekshackexpert{At}fastservice{Dot}com , I was understandably hesitant. Like many others, I had been tricked into believing my Bitcoin investments were legitimate, only to discover they were locked in a non-spendable wallet with no way of accessing them. However, after sharing my story and details about the scam, the team assured me they had handled similar cases and had the expertise to help. They requested basic information about my investment and began their investigation immediately. The recovery process was nothing short of professional. Unlike many other services that promise quick fixes but fail to deliver, TrustGeeks Hack Expert kept me informed at every stage. They regularly updated me on their progress and were completely transparent about the challenges they faced. There were moments when I wondered if the process would work, but the team’s professionalism and reassurance gave me hope. They were honest about the time it would take and did not make any unrealistic promises, which I truly appreciated. After several weeks of work, TrustGeeks Hack Expert successfully recovered not just my $50,000 investment, but also the so-called profits that had been locked away in the scam's non-spendable wallet. This was a huge relief, as I had resigned myself to the idea that I had lost everything. The entire recovery process was discreet and handled with the utmost care, ensuring that the scam company remained unaware of the recovery efforts, which helped prevent further complications. TeleGram iD. Trustgeekshackexpert & What's A p p +1 7 1 9 4 9 2 2 6 9 3

  • 23.01.25 02:37 [email protected]

    After falling victim to a fraudulent Bitcoin mining scam, I found myself in a desperate situation. I had invested $50,000 into a cloud mining website called Miningpool, which turned out to be a complete scam. For months, I tried reaching out to the company, but I was unable to access my funds, and I quickly realized I had been taken for a ride. In my search for help, I came across TrustGeeks Hack Expert, a service that claimed to help people recover lost funds from crypto scams. Though skeptical at first, I decided to give them a try. Here’s my experience with their service.When I initially contacted TrustGeeks Hack Expert Email.. Trustgeekshackexpert{At}fastservice{Dot}com , I was understandably hesitant. Like many others, I had been tricked into believing my Bitcoin investments were legitimate, only to discover they were locked in a non-spendable wallet with no way of accessing them. However, after sharing my story and details about the scam, the team assured me they had handled similar cases and had the expertise to help. They requested basic information about my investment and began their investigation immediately. The recovery process was nothing short of professional. Unlike many other services that promise quick fixes but fail to deliver, TrustGeeks Hack Expert kept me informed at every stage. They regularly updated me on their progress and were completely transparent about the challenges they faced. There were moments when I wondered if the process would work, but the team’s professionalism and reassurance gave me hope. They were honest about the time it would take and did not make any unrealistic promises, which I truly appreciated. After several weeks of work, TrustGeeks Hack Expert successfully recovered not just my $50,000 investment, but also the so-called profits that had been locked away in the scam's non-spendable wallet. This was a huge relief, as I had resigned myself to the idea that I had lost everything. The entire recovery process was discreet and handled with the utmost care, ensuring that the scam company remained unaware of the recovery efforts, which helped prevent further complications. TeleGram iD. Trustgeekshackexpert & What's A p p +1 7 1 9 4 9 2 2 6 9 3

  • 23.01.25 14:20 nellymargaret

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  • 26.01.25 03:54 [email protected]

    Losing access to my crypto wallet account was one of the most stressful experiences ever. After spending countless hours building up my portfolio, I suddenly found myself locked out of my account without access. To make matters worse, the email address I had linked to my wallet was no longer active. When I tried reaching out, I received an error message stating that the domain was no longer in use, leaving me in complete confusion and panic. It was as though everything I had worked so hard for was gone, and I had no idea how to get it back. The hardest part wasn’t just the loss of access it was the feeling of helplessness. Crypto transactions are often irreversible, and since my wallet held significant investments, the thought that my hard-earned money could be lost forever was incredibly disheartening. I spent hours scouring forums and searching for ways to recover my funds, but most of the advice seemed either too vague or too complicated to be of any real help. With no support from the wallet provider and my email account out of reach, I was left feeling like I had no way to fix the situation.That’s when I found out about Trust Geeks Hack Expert . I was hesitant at first, but after reading about their expertise in recovering lost crypto wallets, I decided to give them a try. I reached out to their team, and from the very beginning, they were professional, understanding, and empathetic to my situation. They quickly assured me that there was a way to recover my wallet, and they got to work immediately.Thanks to Trust Geeks Hack Expert , my wallet and funds were recovered, and I couldn’t be more grateful. The process wasn’t easy, but their team guided me through each step with precision and care. The sense of relief I felt when I regained access to my crypto wallet and saw my funds safely back in place was indescribable. If you find yourself in a similar situation, I highly recommend reaching out to Trust Geeks Hack Expert. contact Them through EMAIL: [email protected] + WEBSITE. HTTPS://TRUSTGEEKSHACKEXPERT.COM + TELE GRAM: TRUSTGEEKSHACKEXPERT

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    It’s unfortunate that many people have become victims of scams, and some are facing challenges accessing their Bitcoin wallets. However, there's excellent news! With Chris Wang, you can count on top-notch service that guarantees results in hacking. We have successfully helped both individuals and organizations recover lost files, passwords, funds, and more. If you need assistance, don’t hesitate—check out recoverypro247 on Google Mail! What specific methods does Chris Wang use to recover lost funds and passwords? Are there any guarantees regarding the success rate of the recovery services offered? What are the initial steps to begin the recovery process with recoverypro247? this things i tend to ask

  • 02.02.25 20:53 Michael9090

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  • 05.02.25 00:04 Jannetjeersten

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  • 06.02.25 19:42 Marta Golomb

    My name is Marta, and I’m sharing my experience in the hope that it might help others avoid a similar scam. A few weeks ago, I received an email that appeared to be from the "Department of Health and Human Services (DHS)." It claimed I was eligible for a $72,000 grant debit card, which seemed like an incredible opportunity. At first, I was skeptical, but the email looked so professional and convincing that I thought it might be real. The email instructed me to click on a link to claim the grant, and unfortunately, I followed through. I filled out some personal details, and then, unexpectedly, I was told I needed to pay a "processing fee" to finalize the grant. I was hesitant, but the urgency of the message pushed me to make the payment, believing it was a necessary step to receive the funds. Once the payment was made, things quickly went downhill. The website became unreachable, and I couldn’t get in touch with anyone from the supposed DHS. It soon became clear that I had been scammed. The email, which seemed so legitimate, had been a clever trick to steal my money.Devastated and unsure of what to do, I began searching for ways to recover my lost funds. That’s when I found Tech Cyber Force Recovery, a team of experts who specialize in tracing stolen money and assisting victims of online fraud. They were incredibly reassuring and quickly got to work on my case. After several days of investigation, they managed to track down the scammers and recover my funds. I can’t express how grateful I am for their help. Without Tech Cyber Force Recovery, I don’t know what I would have done. This experience has taught me a valuable lesson: online scams are more common than I realized, and the scammers behind them are incredibly skilled. They prey on people’s trust, making it easy to fall for their tricks. HOW CAN I RECOVER MY LOST BTC,USDT =Telegram= +1 561-726-36-97 =WhatsApp= +1 561-726-36-97

  • 08.02.25 05:45 [email protected]

    I'm incredibly grateful that I did enough research to recover my stolen cryptocurrency. When I first fell victim to a scam, I felt hopeless and lost, unsure if I'd ever see my funds again. A few months ago, I was approached by someone on Telegram who claimed to have a lucrative investment opportunity in cryptocurrencies. They promised huge returns and played on my emotions, making it seem like a can't-miss chance. I was so eager to make my money grow that I didn't fully vet the situation, and unfortunately, I ended up falling for the scam. They guided me to invest a significant amount of money, and soon after, I realized I had been duped. The scammers blocked me, and my funds were gone. I felt devastated. All of my savings had been wiped out in what seemed like an instant, and the feeling of being taken advantage of was crushing. I spent days researching how to recover my stolen cryptocurrency but found the process to be overwhelming and complicated. I was starting to lose hope when I came across Trust Geeks Hack Expert. At first, I was skeptical about reaching out to a cryptocurrency recovery company, but after reading testimonials and researching their reputation, I decided to give them a try. I contacted Trust Geeks Hack Expert Website: www://trustgeekshackexpert.com/, and I was immediately reassured by their professionalism and expertise. They took the time to listen to my situation, and they were honest about what could and could not be done. What stood out to me was their deep understanding of cryptocurrency fraud and the recovery process. They were able to track down the scammers and initiate the recovery of my stolen funds, step by step. Thanks to Trust Geeks Hack Expert, I was able to get back a significant portion of the cryptocurrency I had lost. Their team was responsive, transparent, and diligent in their efforts. I was kept informed throughout the entire process, and they made sure I felt supported every step of the way. I truly can't thank them enough for their dedication and for restoring my faith in the possibility of recovery after such a devastating loss. I will definitely recommend Trust Geeks Hack Expert to anyone who has fallen victim to a cryptocurrency scam. TeleGram: Trustgeekshackexpert & what's A p p  +1 7 1 9 4 9 2 2 6 9 3

  • 08.02.25 05:46 [email protected]

    I'm incredibly grateful that I did enough research to recover my stolen cryptocurrency. When I first fell victim to a scam, I felt hopeless and lost, unsure if I'd ever see my funds again. A few months ago, I was approached by someone on Telegram who claimed to have a lucrative investment opportunity in cryptocurrencies. They promised huge returns and played on my emotions, making it seem like a can't-miss chance. I was so eager to make my money grow that I didn't fully vet the situation, and unfortunately, I ended up falling for the scam. They guided me to invest a significant amount of money, and soon after, I realized I had been duped. The scammers blocked me, and my funds were gone. I felt devastated. All of my savings had been wiped out in what seemed like an instant, and the feeling of being taken advantage of was crushing. I spent days researching how to recover my stolen cryptocurrency but found the process to be overwhelming and complicated. I was starting to lose hope when I came across Trust Geeks Hack Expert. At first, I was skeptical about reaching out to a cryptocurrency recovery company, but after reading testimonials and researching their reputation, I decided to give them a try. I contacted Trust Geeks Hack Expert Website: www://trustgeekshackexpert.com/, and I was immediately reassured by their professionalism and expertise. They took the time to listen to my situation, and they were honest about what could and could not be done. What stood out to me was their deep understanding of cryptocurrency fraud and the recovery process. They were able to track down the scammers and initiate the recovery of my stolen funds, step by step. Thanks to Trust Geeks Hack Expert, I was able to get back a significant portion of the cryptocurrency I had lost. Their team was responsive, transparent, and diligent in their efforts. I was kept informed throughout the entire process, and they made sure I felt supported every step of the way. I truly can't thank them enough for their dedication and for restoring my faith in the possibility of recovery after such a devastating loss. I will definitely recommend Trust Geeks Hack Expert to anyone who has fallen victim to a cryptocurrency scam. TeleGram: Trustgeekshackexpert & what's A p p  +1 7 1 9 4 9 2 2 6 9 3

  • 10.02.25 21:22 sulabhakuchchal

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  • 11.02.25 04:24 heyemiliohutchinson

    I invested substantially in Bitcoin, believing it would secure my future. For a while, things seemed to be going well. The market fluctuated, but I was confident my investment would pay off. But catastrophe struck without warning. I lost access to my Bitcoin holdings as a result of several technical issues and inadequate security measures. Every coin in my wallet suddenly disappeared, leaving me with an overpowering sense of grief. The emotional impact of this loss was far greater than I had imagined. I spiraled into despair, feeling as though my dreams of financial independence were crushed. I was on the verge of giving up when I came across Assets_Recovery_Crusader. Being willing to give them a chance, I had nothing left to lose. They listened to my narrative and took the time to comprehend the particulars of my circumstance, rather than treating me like a case number. They worked diligently, using their advanced recovery techniques and deep understanding of blockchain technology to track down my lost Bitcoin. Assets_Recovery_Crusader rebuilt my trust in the bitcoin space. The financial impact had a significant emotional toll, but I was able to get past it thanks to Assets_Recovery_Crusader’s proficiency and persistence. For proper talks, reach out to them via TELEGRAM : Assets_Recovery_Crusader EMAIL: [email protected]

  • 11.02.25 22:46 jimmybrown

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  • 13.02.25 14:45 aoifewalsh130

    TELEGRAM: u/BestwebwizardRecovery EMAIL: [email protected] WEBSITE: https://bestwebwizrecovery.com/ The money I invested was meant for something incredibly important—my wedding. After months of saving, I had finally accumulated enough to make the day truly special. Wanting to grow this fund, I came across a crypto site called Abcfxb.pro, which promised daily returns through “AI crypto arbitrage trading.” They claimed they could deliver 1% returns on my investment every day, and I saw this as an opportunity to multiply my savings quickly. I thought it was the perfect way to ensure I’d have enough to cover all the wedding expenses. For the first few days, everything seemed perfect. I saw the promised returns and was able to withdraw money without any issues. It felt like a legitimate opportunity, and I was excited as my wedding fund grew. However, things took a turn when I tried to withdraw again. The site claimed that my account balance had fallen below their liquidity requirement and asked me to deposit more funds to proceed. Reluctantly, I deposited more money, believing it was just a minor issue. But the situation only worsened. I was then told that my withdrawal would take 50 days due to “blockchain congestion.” I wasn’t too concerned at first, thinking it was just a delay. But after 50 days, I still hadn’t received my funds, and they gave me the same excuse. Desperate, I contacted the site again, only to be informed that I would need to pay a 15% fee for “technical support” from the “Federal Reserve’s blockchain regulator” before I could withdraw my money. By now, I realized I had fallen victim to a scam. As I researched further, I found that others had been scammed in the same way, and the scammers had moved to another site with nearly the same layout. It was then that I came across a review from another victim, who explained how Best Web Wizard Recovery had helped him recover his lost funds. Desperate for a solution, I reached out to Best Web Wizard Recovery. To my relief, they responded quickly and professionally. Within six hours, they had successfully recovered my full investment. I was beyond grateful, especially since the money had been intended for my wedding. Thanks to their help, I was able to not only get my money back but also go ahead with my wedding as planned. It was a day I will always cherish, and I owe it to Best Web Wizard Recovery for helping me make it a reality. I highly recommend their services to anyone who has fallen victim to a crypto scam.

  • 13.02.25 16:50 andytom798

    I lost $210,000 worth of Bitcoin to a group of fake blockchain impostors on Red note, a Chinese app. They contacted me, pretending to be official blockchain support, and I was misled into believing they were legitimate. At the time, I had been saving up in Bitcoin, hoping to take advantage of the rising market. The scammers were convincing, and I made the mistake of trusting them with access to my blockchain wallet. To my shock and disbelief, they stole a total of $10,000 worth of Bitcoin from my wallet. It was devastating, as this amount represented all of my hard-earned savings. I was in utter disbelief, feeling foolish for falling for their deceptive tactics. I felt lost, as though everything I had worked towards was taken from me in an instant. Thankfully, my uncle suggested I reach out to an expert in cryptocurrency recovery. After doing some research online, I came across CYBERPOINT RECOVERY COMPANY. I was hesitant at first, but their positive reviews gave me some hope. I decided to contact them directly and explained my situation, including the amount I had lost and how the scammers had gained access to my account. To my relief, the team at CYBERPOINT RECOVERY responded quickly and assured me they could help. They launched a detailed recovery program, using advanced tools and techniques to trace the stolen Bitcoin. Within a matter of days, they successfully recovered my full $210,000 worth of Bitcoin, and they even identified the individuals behind the scam. Their expertise and professionalism made a huge difference, and I was incredibly grateful for their support. If you find yourself in a similar situation, I highly recommend reaching out to Cyber Constable Intelligence. They helped me recover my funds when I thought all hope was lost. Whether you’ve lost money to scammers or any other form of online fraud, they have the knowledge and resources to help you get your funds back. Don’t give up there are experts who can help you reclaim what you’ve lost. I’m sharing my story to hopefully guide others who are going through something similar. Here's Their Info Below ([email protected]) or W.H.A.T.S.A.P.P:+1.7.6.0.9.2.3.7.4.0.7

  • 13.02.25 16:52 birenderkumar20101

    I was able to reclaim my lost Bitcoin assets worth of $480,99 which i had lost to the scam company known as Capitalix fx a scam company pretending to be an investment platform which alot of people including myself have lost their funds to, sadly not all would be fortunate enough to retrieve back their funds like I did but if you’re reading this today then you’re already a step closer towards regaining your lost digital assets, CYBERPOINT RECOVERY COMPANY successfully retrieved back my funds in less than of 48hours after I sought for their help to get back my funds. This experience has taught me the importance of carrying out my due diligence before embracing any financial opportunity presented to me and while risk taking may be a part of the journey, some risks are not worth taking and never again will I involve myself with any online financial investment. It’s only right that we seek for external intervention and support of a higher knowledge system when it comes to digital assets recovery, Get in contact today with the team to get started on Email: ([email protected])

  • 13.02.25 17:37 eunice49954

    Agent Jasmine Lopez focuses on recovering stolen cryptocurrency, particularly USDT. She is well-known for helping victims of digital asset theft. Her reputation arises from successful recoveries that have allowed many to regain their lost funds. I witnessed this when $122,000 was taken from me. Thanks to Ms. Lopez's skills, I recovered the entire amount in just 24 hours. Her prompt response and effective methods relieved my financial burden. Ms. Lopez’s commitment to helping others is evident. She is always available to offer solutions to those facing similar problems. For assistance, she can be reached via email at recoveryfundprovider@gmail . com or contacted directly on WhatsApp and text at +44 - 7366 445035. Her Instagram handle is recoveryfundprovider.

  • 14.02.25 02:50 Vladimir876

    I was able to reclaim my lost Bitcoin assets worth of $480,99 which i had lost to the scam company known as Capitalix fx a scam company pretending to be an investment platform which alot of people including myself have lost their funds to, sadly not all would be fortunate enough to retrieve back their funds like I did but if you’re reading this today then you’re already a step closer towards regaining your lost digital assets, CYBERPOINT RECOVERY COMPANY successfully retrieved back my funds in less than of 48hours after I sought for their help to get back my funds. This experience has taught me the importance of carrying out my due diligence before embracing any financial opportunity presented to me and while risk taking may be a part of the journey, some risks are not worth taking and never again will I involve myself with any online financial investment. It’s only right that we seek for external intervention and support of a higher knowledge system when it comes to digital assets recovery, Get in contact today with the team to get started on Email: ([email protected]) or W.H.A.T.S.A.P.P:+1.7.6.0.9.2.3.7.4.0.7

  • 14.02.25 02:56 christophadelbert3

    Я был в полном смятении, когда потерял все свои сбережения, инвестируя в криптовалюту. Со мной связалась онлайн женщина по электронной почте, выдавая себя за менеджера по работе с клиентами банка, которая сказала мне, что я могу удвоить свои сбережения, инвестируя в криптовалюту. Я никогда не думал, что это будет мошенничество, и я потеряю все. Это продолжалось неделями, пока я не понял, что меня обманули. Вся надежда была потеряна, я был опустошен и разорен, к счастью для меня, я наткнулся на статью в моем местном бюллетене о CYBERPUNK RECOVERY Bitcoin Recovery. Я связался с ними и предоставил всю информацию по моему делу. Я был поражен тем, как быстро они вернули мои криптовалютные средства и смогли отследить этих мошенников. Я действительно благодарен за их услуги и рекомендую CYBERPUNK RECOVERY всем, кому нужно вернуть свои средства. Настоятельно рекомендую вам связаться с CYBERPUNK, если вы потеряли свои биткойны USDT или ETH из-за инвестиций в биткойны Электронная почта: ([email protected]) W.h.a.t.s.A.p.p (+.1.7.6.0.9.2.3.7.4.0.7)

  • 14.02.25 02:56 christophadelbert3

    I was in total dismay when I lost my entire savings investing in cryptocurrency, I was contacted online by a lady through email pretending to be an account manager of a bank, who told me I could make double my savings through cryptocurrency investment, I never imagined it would be a scam and I was going to lose everything. It went on for weeks until I realized that I have been scammed. All hope was lost, I was devastated and broke, fortunately for me, I came across an article on my local bulletin about CYBERPUNK RECOVERY Bitcoin Recovery, I contacted them and provided all the information regarding my case, I was amazed at how quickly they recovered my cryptocurrency funds and was able to trace down those scammers. I’m truly grateful for their service and I recommend CYBERPUNK RECOVERY to everyone who needs to recover their funds urge you to contact CYBERPUNK if you have lost your bitcoin USDT or ETH through bitcoin investment Email: ([email protected]) WhatsApp (+17609237407)

  • 14.02.25 15:33 prelogmilivoj

    I never imagined I would find myself in a situation where I was scammed out of such a significant amount of money, but it happened. I became a victim of a fake online donation project that cost me over $30,000. It all started innocently enough when I was searching for assistance after a devastating fire incident in California. While looking for support, I came across an advertisement that seemed to offer donations for fire victims. The ad appeared legitimate, and I reached out to the project manager to inquire about how to receive the donations. The manager was very convincing and insisted that in order to qualify for the donations, I needed to pay $30,000 upfront. In return, I was promised $1 million in donations. It sounded a bit too good to be true, but in my desperate situation, I made the mistake of believing it. The thought of receiving a substantial amount of help to rebuild after the fire clouded my judgment, and I went ahead and sent the money. However, after transferring the funds, the promised donations never arrived, and the manager disappeared. That’s when I realized I had been scammed. Feeling lost, helpless, and completely betrayed, I tried everything I could to contact the scammer, but all my efforts were in vain. Desperation led me to search for help online, hoping to find a way to recover my money and potentially track down the scammer. That’s when I stumbled upon several testimonies from others who had fallen victim to similar scams and had been helped by a company called Tech Cyber Force Recovery. I reached out to them immediately, providing all the details of the scam and the information I had gathered. To my immense relief, the experts at Tech Cyber Force Recovery acted swiftly. Within just 27 hours, they were able to locate the scammer and initiate the recovery process. Not only did they help me recover the $30,000 I had lost, but the most satisfying part was that the scammer was apprehended by local authorities in their region. Thanks to Tech Cyber Force Recovery, I was able to get my money back and hold the scammer accountable for their actions. I am incredibly grateful for their professionalism, expertise, and dedication to helping victims like me. If you have fallen victim to a scam or fraudulent activity, I highly recommend contacting Tech Cyber Force Recovery. They provide swift and efficient recovery assistance, and I can confidently say they made all the difference in my situation. ☎☎ 1️⃣5️⃣6️⃣1️⃣7️⃣2️⃣6️⃣3️⃣6️⃣9️⃣7️⃣ ☎☎ 📩 1️⃣5️⃣6️⃣1️⃣7️⃣2️⃣6️⃣3️⃣6️⃣9️⃣7️⃣ 📩

  • 14.02.25 22:12 eunice49954

    Agent Jasmine Lopez focuses on recovering stolen cryptocurrency, particularly USDT. She is well-known for helping victims of digital asset theft. Her reputation arises from successful recoveries that have allowed many to regain their lost funds. I witnessed this when $122,000 was taken from me. Thanks to Ms. Lopez's skills, I recovered the entire amount in just 24 hours. Her prompt response and effective methods relieved my financial burden. Ms. Lopez’s commitment to helping others is evident. She is always available to offer solutions to those facing similar problems. For assistance, she can be reached via email at recoveryfundprovider@gmail . com or contacted directly on WhatsApp and text at +44 - 7366 445035. Her Instagram handle is recoveryfundprovider.

  • 15.02.25 02:51 Michelle Lynn

    Living in Los Angeles, I never imagined I’d face such a difficult chapter in my life. At the time, my wife was pregnant, and we were both excited about starting a family. I fell victim to a series of scams, losing over $170,000 in total. Just when I thought things couldn’t get worse, I received a call from someone who promised to help me recover my losses. Desperate to fix the situation, I went along with it, hoping for a breakthrough. But it turned out to be another scam. However, most of the options I found either seemed dubious or offered no real guarantees. That’s when I came across Cyber Constable Intelligence. It was a company recommended in a Facebook community The team worked tirelessly on my case, and after some time, they successfully recovered 99% of my investment. Although I didn’t recover everything, the 99% recovery was a huge relief They also educated me on how to better protect my digital Asset Here's Their Website Info www cyberconstableintelligence com

  • 15.02.25 02:51 Michelle Lynn

    Living in Los Angeles, I never imagined I’d face such a difficult chapter in my life. At the time, my wife was pregnant, and we were both excited about starting a family. I fell victim to a series of scams, losing over $170,000 in total. Just when I thought things couldn’t get worse, I received a call from someone who promised to help me recover my losses. Desperate to fix the situation, I went along with it, hoping for a breakthrough. But it turned out to be another scam. However, most of the options I found either seemed dubious or offered no real guarantees. That’s when I came across Cyber Constable Intelligence. It was a company recommended in a Facebook community The team worked tirelessly on my case, and after some time, they successfully recovered 99% of my investment. Although I didn’t recover everything, the 99% recovery was a huge relief They also educated me on how to better protect my digital Asset Here's Their Website Info www cyberconstableintelligence com, WhatsApp Info: 1 (252) 378-7611

  • 16.02.25 01:01 Peter

    I fell victim to a crypto scam and lost a significant amount of money. What are the most effective strategies to recover my funds? I've heard about legal actions, contacting authorities, and hiring recovery experts, but I'm not sure where to start. Can you provide some guidance on the best ways to recover money lost in a crypto scam? Well if this is you, [email protected] gat you covered get in touch and thank me later

  • 16.02.25 20:06 eunice49954

    Agent Lopez specializes in recovering stolen cryptocurrencies, especially Bitcoin/USDT. She has built a strong reputation for helping victims reclaim their lost funds. A personal example highlights her effectiveness: I lost $111,000 and, thanks to her prompt action, I recovered it all within 24 hours. Her dedication and skills eased my financial stress. She is always ready to assist others with similar issues. For help, she can be reached by email at Recoveryfundprovider@gmail. com or contact her through WhatsApp at +44 736 644 5035. Her Insta is recoveryfundprovider.

  • 18.02.25 19:35 donovancristina

    Now, I’m that person sharing my success story on LinkedIn, telling others about the amazing team at TECH CYBER FORCE RECOVERY who literally saved my financial life. I’ve also become that guy who proudly shares advice like “Always back up your wallet, and if you don’t have TECH CYBER FORCE RECOVERY on speed dial.” So, a big thank you to TECH CYBER FORCE RECOVERY if I ever get a chance to meet the team, I might just offer to buy them a drink. They’ve earned it. FOR CRYPTO HIRING WEBSITE WWW://techcyberforcerecovery.com WHATSAPP : ⏩ wa.me/15617263697

  • 18.02.25 22:13 keithphillip671

    WhatsApp +44,7,4,9,3,5,1,3,3,8,5 Telegram @Franciscohack The day my son uncovered the truth—that the man I entrusted my hopes of wealth and companionship with through a cryptocurrency platform was a cunning scammer was the day my world crumbled. The staggering realization that I had been swindled out of 150,000.00 Euro worth of Bitcoin left me in a state of profound despair. As a 73-year-old grappling with loneliness, I had sought solace in what I believed to be a genuine connection, only to find deceit and betrayal. Countless sleepless nights were spent in tears, mourning not only the financial devastation but also the crushing blow to my trust. Attempts to verify the authenticity of our interactions were met with hostility, further deepening my sense of isolation. Through the loss it was my son who became my beacon of resilience. He took upon himself the arduous task of tracing the scam and seeking justice on my behalf. Through meticulous effort and determination, he unearthed {F R A N C I S C O H A C K}, renowned for their expertise in recovering funds lost to cryptocurrency scams. Entrusting them with screenshots and evidence of the fraudulent transactions, my son initiated the journey to reclaim what had been callously taken from me. {F R A N C I S C O H A C K} approached our plight with empathy and unwavering professionalism, immediately instilling a sense of confidence in their abilities. Despite my initial skepticism, their transparent communication and methodical approach reassured us throughout the recovery process. Regular updates on their progress and insights into their strategies provided much-needed reassurance and kept our hopes alive amid the uncertainty. Their commitment to transparency and client welfare was evident in every interaction, fostering a sense of partnership rather than mere service. Miraculously, in what felt like an eternity but was actually an impressively brief period, {F R A N C I S C O H A C K} delivered the astonishing news—I had recovered the entire 150,000.00 Euro worth of stolen Bitcoin. The flood of relief and disbelief was overwhelming, marking not just the restitution of financial losses but the restoration of my faith in justice. {F R A N C I S C O H A C K} proficiency in navigating the intricate landscape of blockchain technology and online fraud was nothing short of extraordinary. Their dedication to securing justice and restoring client confidence set them apart as more than just experts—they were steadfast allies in a fight against digital deceit. What resonated deeply with me {F R A N C I S C O H A C K} integrity and compassion. Despite the monumental recovery, they maintained transparency regarding their fees and ensured fairness in all dealings. Their proactive guidance on cybersecurity measures further underscored their commitment to safeguarding clients from future threats. It was clear that their mission extended beyond recovery—it encompassed education, prevention, and genuine advocacy for those ensnared by cyber fraud. ([email protected]) fills me with profound gratitude. They not only rescued my financial security but also provided invaluable emotional support during a time of profound vulnerability. To anyone navigating the aftermath of cryptocurrency fraud, I wholeheartedly endorse {F R A N C I S C O H A C K}. They epitomize integrity, expertise, and unwavering dedication to their clients' well-being. My experience with {F R A N C I S C O H A C K} transcended mere recovery—it was a transformative journey of resilience, restoration, and renewed hope in the face of adversity.

  • 21.02.25 07:42 daniel231101

    I never thought I would fall victim to a crypto scam until I was convinced of a crypto investment scam that saw me lose all my entire assets worth $487,000 to a crypto investment manager who convinced me I could earn more from my investment. I thought it was all gone for good but I kept looking for ways to get back my stolen crypto assets and finally came across Ethical Hack Recovery, a crypto recovery/spying company that has been very successful in the recovery of crypto for many other victims of crypto scams and people who lost access to their crypto. I’m truly grateful for their help as I was able to recover my stolen crypto assets and get my life back together. I highly recommend their services EMAIL ETHICALHACKERS009 AT @GMAIL DOT COM whatsapp +14106350697

  • 21.02.25 21:38 eunice49954

    Jasmine Lopez specializes in recovering stolen cryptocurrencies, especially ETH/USDT. She has built a strong reputation for helping victims reclaim their lost funds. A personal example highlights her effectiveness: I lost $111,000 and, thanks to her prompt action, I recovered it all within 24 hours. Her dedication and skills eased my financial stress. She is always ready to assist others with similar issues. For help, she can be reached by email at Recoveryfundprovider@gmail. com or contact her through WhatsApp at +44 736 644 5035. Her Insta is recoveryfundprovider.

  • 22.02.25 18:01 benluna0991

    Mark Zuckerberg. That’s the name I was introduced to when I first encountered the cryptocurrency mining platform, WHATS Invest. A person claiming to be Zuckerberg himself reached out to me, saying that he was personally backing the platform to help investors like me earn passive income. At first, I was skeptical—after all, how often do you get a direct connection to one of the world’s most famous tech entrepreneurs? But this individual seemed convincing and assured me that many people were already seeing substantial returns on their investments. He promised me a great opportunity to secure my financial future, so I decided to take the plunge and invest $10,000 into WHATS Invest. They told me that I could expect to see significant returns in just a few months, with payouts of at least $1,500 or more each month. I was excited, believing this would be my way out of financial struggles. However, as time passed, things didn’t go according to plan. Months went by, and I received very little communication. When I finally did receive a payout, it was nowhere near the $1,500 I was promised. Instead, I received just $200, barely 13% of what I had expected. Frustrated, I contacted the support team, but the responses were vague and unhelpful. No clear answers or solutions were offered, and my trust in the platform quickly started to erode. It became painfully clear that I wasn’t going to get anywhere with WHATS Invest, and I began to worry that my $10,000 might be lost for good. That's when I discovered Certified Recovery Services. Desperate to recover my funds, I decided to reach out to them for help. In just 24 hours, they worked tirelessly to recover the majority of my funds, successfully retrieving $8,500 85% of my initial investment. I couldn’t believe how quickly and efficiently they worked to get my money back. I’m extremely grateful for Certified Recovery Servicer's fast and professional service. Without them, I would have been left with a significant loss, and I would have had no idea how to move forward. If you find yourself in a similar situation with WHATS Invest or any other platform that isn’t delivering as promised, I highly recommend reaching out to Certified Recovery Services They were a lifesaver for me, helping me recover nearly all of my funds. It's reassuring to know that trustworthy services like this exist to help people when things go wrong. They also specialize in recovering money lost to online scams, so if you’ve fallen victim to such a scam, don’t hesitate to contact Certified Recovery Services they can help! Here's Their Info Below: WhatsApp: +1(740)258‑1417 mail: [email protected], [email protected] Website info; https://certifiedrecoveryservices.com

  • 23.02.25 22:00 eunice49954

    Jasmine Lopez specializes in recovering stolen cryptocurrencies, especially ETH/USDT. She has built a strong reputation for helping victims reclaim their lost funds. A personal example highlights her effectiveness: I lost $111,000 and, thanks to her prompt action, I recovered it all within 24 hours. Her dedication and skills eased my financial stress. She is always ready to assist others with similar issues. For help, she can be reached by email at Recoveryfundprovider@gmail. com or contact her through WhatsApp at +44 736 644 5035. Her Insta is recoveryfundprovider.

  • 24.02.25 06:36 ANDREW DAVIS

    RECOVER YOUR SCAMMED FUNDS AND CRYPTOCURRENCY VIA SPOTLIGHT RECOVERY Professional hackers at Spotlight Recovery provide services for compromised devices, accounts, and websites as well as for recovering stolen bitcoin and money from scams. They finish their work safely and quickly. Their order has been fulfilled since day one, and the victim will never be conscious of the outside entrance. Very few even attempt to give critical information, look into network security, or discreetly discuss personal issues. The Spotlight Recovery Crew helped me recover $264,000 that was stolen from my corporate bitcoin wallet, and I appreciate them giving me further details on the unidentified people. In the event that you have been defrauded of your hard-earned cash or bitcoins, contact SPOTLIGHT RECOVERY CREW at Contact: [email protected]

  • 24.02.25 07:19 maggie4567

    Jasmine Lopez specializes in recovering stolen cryptocurrencies, especially ETH/USDT. She has built a strong reputation for helping victims reclaim their lost funds. A personal example highlights her effectiveness: I lost $111,000 and, thanks to her prompt action, I recovered it all within 24 hours. Her dedication and skills eased my financial stress. She is always ready to assist others with similar issues. For help, she can be reached by email at Recoveryfundprovider@gmail. com or contact her through WhatsApp at +44 736 644 5035. Her Insta is recoveryfundprovider.

  • 24.02.25 07:19 maggie4567

    Jasmine Lopez specializes in recovering stolen cryptocurrencies, especially ETH/USDT. She has built a strong reputation for helping victims reclaim their lost funds. A personal example highlights her effectiveness: I lost $111,000 and, thanks to her prompt action, I recovered it all within 24 hours. Her dedication and skills eased my financial stress. She is always ready to assist others with similar issues. For help, she can be reached by email at Recoveryfundprovider@gmail. com or contact her through WhatsApp at +44 736 644 5035. Her Insta is recoveryfundprovider.

  • 24.02.25 07:19 maggie4567

    Jasmine Lopez specializes in recovering stolen cryptocurrencies, especially ETH/USDT. She has built a strong reputation for helping victims reclaim their lost funds. A personal example highlights her effectiveness: I lost $111,000 and, thanks to her prompt action, I recovered it all within 24 hours. Her dedication and skills eased my financial stress. She is always ready to assist others with similar issues. For help, she can be reached by email at Recoveryfundprovider@gmail. com or contact her through WhatsApp at +44 736 644 5035. Her Insta is recoveryfundprovider.

  • 27.02.25 12:46 monikaguttmacher

    Weddings are supposed to be magical, but the months leading up to mine were anything but. Already, wedding planning was a high-stress, sleep-deprived whirlwind: endless details to manage, from venue deposits and guest lists to dress fittings and vendor contracts. But nothing-and I mean, nothing-compared to the panic that washed over me when I realized that somehow, I had lost access to my Bitcoin wallet-with $600,000 inside. It happened in the worst possible way. In between juggling my to-do lists and trying to keep my sanity intact, I lost my seed phrase. I went through my apartment like a tornado, flipping through notebooks, checking every email, every file-nothing. I sat there in stunned silence, heart pounding, trying to process the fact that my entire savings, my security, and my financial future might have just vanished. In utter despair, I vented to my bridesmaid's group chat for some sympathetic words from the girls. Instead, one casually threw out a name that would change everything in a second: "Have you ever heard of Tech Cyber Force Recovery? They recovered Bitcoin for my cousin. You should call them." I had never heard of them before, but at that moment, I would have tried anything. I immediately looked them up, scoured reviews, and found story after story of people just like me—people who thought they had lost everything, only for Tech Cyber Force Recovery to pull off the impossible. That was all the convincing I needed. From the very first call, I knew I was in good hands. Their team was calm, professional, and incredibly knowledgeable. They explained the recovery process in a way that made sense, even through my stress-fogged brain. Every step of the way, they kept me informed, reassured me, and made me feel like this nightmare actually had a solution. And then, just a few days later, I got the message: "We have recovered your Bitcoin." (EMAIL. support @ tech cyber force recovery . com) OR WHATSAPP (+1 56 17 26 36 97) I could hardly believe my eyes: Six. Hundred. Thousand. Dollars. In my hands again. I let out my longest breath ever and almost cried, relieved. It felt like I woke up from a bad dream, but it was real, and Tech Cyber Force Recovery had done it. Because of them, I walked down the aisle not just as a bride, but as someone who had dodged financial catastrophe. Instead of spending my honeymoon stressing over lost funds, I got to actually enjoy it—knowing that my wallet, and my future, were secure. Would I refer to them? In a heartbeat. If you ever find yourself in that situation, please don't freak out, just call Tech Cyber Force Recovery. They really are the real deal.

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