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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:

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

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

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

Диск:

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)

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 ...

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):

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:

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:

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.
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.
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.
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):

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:

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).
Implement the RK4 step function that takes current x, y, step h, computes k1-k4, updates y.
In main, set initial x0, y0, h, number of steps.
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:

f(x, y) - Implements the differential equation
rk4_step() - Performs one RK4 iteration
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:

Compile with any C compiler (e.g., gcc rk4.c -o rk4)
Run the executable
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:

Function f: Implements the differential equation

$( \frac{dy}{dx} = \frac{x - y}{x + y} ).$

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:

Грамматику правит, альтернативы предлагает, историю общения помнит:

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:

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:

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!

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6 февр. 2025 г.

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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] and on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1
20.06.26 14:57 michaeldavenport218

I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1
21.06.26 11:09 Maurizio Rolland

I would like to express my sincere appreciation to RESQPRO FIRM for their outstanding assistance in helping victims of online fraud. Many scammers deceive investors by blocking withdrawals and continuously demanding additional deposits, making the loss of hard-earned funds a painful experience. Fortunately, RESQPRO FIRM provides support to individuals seeking to recover funds lost to fraudulent online schemes. Contact: Email: RESQPRO FIRM at Gmail Telegram: RESQPROFIRM, [email protected], WhatsApp: +1 985 296 9146
21.06.26 11:13 Buse Fahri

It is important for more people to stand together in the fight against online fraud. Those who target innocent individuals especially vulnerable people such as seniors should be held fully accountable for their actions. Every effort to raise awareness and support victims makes a meaningful difference. The team at RESQPRO FIRM is committed to helping expose fraudulent schemes and assisting those affected by online scams. Their dedication, persistence, and passion for protecting victims are truly commendable. I sincerely appreciate the hard work and commitment shown toward this mission. Together, we can continue to educate others, support victims, and work toward a safer online environment for everyone. Contact Information: Telegram: RESQPROFIRM WhatsApp: +1 985 296 9146 Email: [email protected], [email protected]
21.06.26 11:16 علیرضا گلشن

The successful recovery of my stolen funds, totaling $1,310,000, would not have been possible without your unwavering support, dedication, and tireless efforts. I am truly grateful for the opportunity to work with such a skilled and professional team. From the very beginning, I had confidence in your ability to handle this challenging situation, and you exceeded my expectations by delivering remarkable results. Your expertise, persistence, and commitment throughout the process were exceptional. I encourage you to continue maintaining the high standards of professionalism and excellence that distinguish your work. You exemplify the qualities of a trustworthy, dedicated, and hardworking professional, and your efforts deserve sincere recognition and appreciation. Contact: Email: [email protected], [email protected], Telegram: Resqprofirm WhatsApp: +1 985 296 9146
22.06.26 21:51 kimberlyhebert786

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
22.06.26 21:51 kimberlyhebert786

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
24.06.26 01:25 Fraddy Pual

I never thought it would happen to me—but I lost $256,100 in Bitcoin through a shady investment deal. I was shattered, panicked, and convinced my savings were gone forever. Just when I was about to give up, I stumbled upon reviews for FUNDSRETRIEVER, a cyber recovery team with a solid reputation. I decided to give it a shot, and to my absolute shock, they recovered every single cent in record time. Working with them was a lifesaver. If you've been tricked by fake investment platforms, don't lose hope—FUNDSRETRIEVER can help. Contact them here: Email: [email protected] | WhatsApp: +1603512144 8| Telegram: @Fundsretriever
24.06.26 01:27 Fraddy Pual

I never thought it would happen to me—but I lost $256,100 in Bitcoin through a shady investment deal. I was shattered, panicked, and convinced my savings were gone forever. Just when I was about to give up, I stumbled upon reviews for FUNDSRETRIEVER, a cyber recovery team with a solid reputation. I decided to give it a shot, and to my absolute shock, they recovered every single cent in record time. Working with them was a lifesaver. If you've been tricked by fake investment platforms, don't lose hope—FUNDSRETRIEVER can help. Contact them here: Email: [email protected] | WhatsApp: +16035121448 | Telegram: @Fundsretriever
24.06.26 01:28 Fraddy Pual

I never thought it would happen to me—but I lost $256,100 in Bitcoin through a shady investment deal. I was shattered, panicked, and convinced my savings were gone forever. Just when I was about to give up, I stumbled upon reviews for FUNDSRETRIEVER, a cyber recovery team with a solid reputation. I decided to give it a shot, and to my absolute shock, they recovered every single cent in record time. Working with them was a lifesaver. If you've been tricked by fake investment platforms, don't lose hope—FUNDSRETRIEVER can help. Contact them here: Email: [email protected] | WhatsApp: +16035121448 | Telegram: @Fundsretriever.
24.06.26 01:58 robertalfred175

CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
24.06.26 01:58 robertalfred175

CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
24.06.26 14:16 Universina da Mota

Becoming a victim of an investment scam is never anyone's intention it often happens because fraudsters exploit trust and a lack of awareness. I would like to express my sincere gratitude to the dedicated team at ResQpro for their professionalism and commitment to helping victims of online investment fraud. Their efforts in assisting individuals with the recovery of stolen assets and holding scammers accountable are truly commendable. If you need assistance or would like to learn more, you can contact them through: Email: [email protected] Alternative Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 (985) 296-9146
24.06.26 14:21 Elizabeth Thompson

If you believe you have been the victim of an investment scam, it is important to act promptly and gather all relevant information. Keep records of transaction receipts, wallet addresses, communication logs, account details, and any other evidence related to the incident. Providing accurate documentation can help investigators, financial institutions, legal professionals, or recovery specialists review your case and determine what options may be available. Be cautious of anyone who guarantees the recovery of lost funds or requests large upfront payments. For additional information, you may contact: Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 (985) 296-9146
24.06.26 15:33 Júlia Castro

If you have fallen victim to an investment scam, it is important to act quickly and gather all available evidence related to the incident. This may include transaction records, wallet addresses, screenshots of conversations, emails, account details, and any information connected to the individuals or entities involved. Having complete documentation can help professionals assess your situation and explore possible recovery options. Always exercise caution when seeking assistance and carefully verify the credentials of any service provider before proceeding. For further information, you may contact: Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 (985) 296-9146
24.06.26 22:01 robertalfred175

CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
24.06.26 22:01 robertalfred175

CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
25.06.26 21:13 Emilie Safi

A fraudulent investment scheme operated by BTCMining.limited functions as a fake return scam. In this setup, scammers lure victims with false promises of high returns. Through manipulative tactics, they gain individuals' trust and convince them to invest, ultimately leading to financial loss. If you have ever faced a cyber threat or fallen victim to an online crypto scam and need to reach the authorities, I recommend contacting [email protected], [email protected], WhatsApp +19852969146, telegram @resqprofirm. They are a legitimate team that helps victims of online crypto scams using advanced tools.
25.06.26 21:25 Emilie Safi

So I ended up losing $38,000 to this platform. At first, they kept asking me to put in more money so I could get into my portfolio. I did that, but then they wouldn’t let me withdraw anything—just kept asking for more deposits. It got way too suspicious, so I stopped. I found this company called ResQProfirm on Google and told them what happened. They got in touch, asked me to walk them through everything, and I gave them all the proof I had. They did an amazing job tracking down my money and getting it back. Big thanks to them at [email protected] and on WhatsApp at +19852969146. Please be careful out there and always research before investing.
26.06.26 01:04 robertalfred175

CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
26.06.26 01:04 robertalfred175

CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
26.06.26 02:48 Miriam Rocha

I trusted this platform with $120,000 of my hard-earned money. Then they started asking for more deposits just so I could access my own portfolio. I paid, but every withdrawal request was denied. They kept pushing for more money. I finally stopped it just felt wrong. Desperate, I found ResQProfirm on Google. They didn't just hear me out; they truly listened. I shared all my proof, and they launched an investigation. Thanks to their hard work, they tracked and returned my funds. From the bottom of my heart, thank you to [email protected] and their WhatsApp +19852969146. Please stay safe and always verify a platform before investing
26.06.26 02:52 Miško Bakić

I got my $232,000 refund thanks to [email protected] and WhatsApp +19852969146. Highly recommended for anyone in a similar situation.
26.06.26 02:56 Asunción Herrera

A recovery of $48,330 was facilitated by [email protected]. Individuals who have experienced financial fraud may consider contacting this service.
26.06.26 15:05 Riley Stephens

If withdrawals keep getting denied, stay calm. I went through the same, and this firm helped me recover everything. Their assistance was outstanding. Contact: [ResQProFirm @Gmail|•|com], Telegram: ResQprofirm, WhatsApp: <+198> <5296> <9146>.
26.06.26 15:09 Antonio Riley

Withdrawal troubles shouldn’t stress you out. I faced a similar problem, and this firm stepped in and recovered my funds. Their support truly mattered. Contact them: [[email protected], ResQprofirm @aol.com], Telegram: ResQprofirm, WhatsApp: +19852969146.
28.06.26 00:37 kimberlyhebertt673

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
28.06.26 00:37 kimberlyhebertt673

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
29.06.26 11:57 Lisadonato0726

For 43 years, I struggled with bad credit due to my own poor decisions, and my credit score was around 490. When my girlfriend and I decided to buy a house, a mortgage broker informed us that it would be impossible to secure a mortgage with my credit score. As a result, she referred me to a company called HACK MAVENS CREDIT SPECIALIST, assuring me of their professionalism and ability to assist with credit improvement. Upon contacting them, I was impressed by their professionalism and they assured me that they could help. In less than 6 days, my credit score skyrocketed to 785, and they also successfully resolved issues in my credit report, including the bankruptcy. I am incredibly satisfied with their service and would highly recommend HACK MAVENS CREDIT SPECIALIST for reliable credit repairs. You can reach them at H A C K M A V E N S 5 [AT] G M A I L [DOT] COM or at [+] [1] [2 0 9] [4 1 7] – [1 9 5 7]. Thanks to their help, my girlfriend and I are now proud homeowners.
29.06.26 22:37 riley777

Back in 2025, I watched my life savings vanish. A thief took every cent. I felt desperate and went looking for a way to get it back. I found a guy here who said he was an expert haha. He talked about special software that could find my missing cash. I trusted him. That was a big mistake. He was just another scammer. I paid him a software fee and then he just stopped answering my texts and ran off with my money too. I felt so ashamed that I kept quiet about it for months. It is hard to admit you got fooled twice. Later on, I found a real pro. she did not use a fancy sales pitch. she just looked at the trans screenshots and followed the path the money took. she worked fast and got my funds back into my account. Having that money back changed everything. I can sleep again. her info; [email protected]. Call/chatroom on Whtasapp/ +44 7476618364.
30.06.26 15:08 wendytaylor015

My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
30.06.26 15:08 wendytaylor015

My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
02.07.26 01:22 Lieneke Bonnema

I highly recommend ResQprofirm for their professional asset recovery services of my $120,000 scammed funds. Their expertise, professionalism, and commitment to achieving results make them a reliable choice for anyone seeking dependable recovery assistance. [email protected], WhatsApp +19852969146, telegram @resqprofirm
02.07.26 01:26 Clara Morin

I want to extend my deepest appreciation for showing that circumstances do not define one’s potential for greatness. Your support has been a major source of inspiration during my trading journey, and I am sincerely grateful for your insight and mentorship. Thank you so much. [email protected], WhatsApp +19852969146, telegram ResQprofirm
02.07.26 01:31 Robin Hale

I sincerely want to thank you for demonstrating that anyone can rise above their circumstances and achieve success. Your constant support has been incredibly inspiring during my trading journey, and your wisdom and advice mean so much to me. I appreciate you deeply. [email protected], WhatsApp +19852969146, telegram Resqprofirm
04.07.26 15:32 Fraddy Pual

There are few companies I trust as much as FUNDSRETRIEVER. When I lost $653,000 in Ethereum to a ruthless scam, I thought my life would never be the same. The betrayal cut deep, but I refused to give up. I searched tirelessly for a legitimate way to recover what was stolen, and finally found FUNDSRETRIEVER—the most competent and compassionate recovery team I could have imagined. They handled my case with precision and care, and in the end, my entire ETH wallet was restored. More than the money, they gave me back my hope and happiness. I'm sharing my story because I want others to know that recovery is possible. If a scam has taken from you, don't hesitate—contact FUNDSRETRIEVER today. Email: FUNDSRETRIEVER1@ Gmail.com | WhatsApp: +1 603-512-1448 | Telegram: @FUNDSRETRIEVER
05.07.26 14:44 lydiassmith567

HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/Text: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
05.07.26 14:44 lydiassmith567

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06.07.26 16:20 Olga Ognjanović

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06.07.26 16:31 Joseph Weigl

Invest wisely and stay cautious. Don't be influenced by promises of unusually high returns or convincing sales pitches from brokers. I learned this the hard way after falling victim to an investment scam that promised huge profits. Fortunately, I acted quickly and reported the incident to a recovery firm for assistance. Contact: Email: [email protected] Telegram: @Resqprofirm WhatsApp: +1 985 296 9146
06.07.26 16:33 Jaran Løvlien

A heartfelt thank you to RESQPRO FIRM for their commitment and professionalism throughout the investigation of my case. Their team worked diligently and helped recover assets valued at $88,000, which were returned to my wallet. I truly appreciate their support, clear communication, and dedication, and I'm grateful for the assistance I received. Contact: Email: [email protected] Telegram: @Resqprofirm WhatsApp: +1 985 296 9146
07.07.26 18:00 robertalfred175

CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
07.07.26 18:01 robertalfred175

CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
09.07.26 19:06 Toivo Walli

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09.07.26 19:10 Misty Alexander

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12.07.26 03:33 Pahal Mathew

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13.07.26 23:49 [email protected]

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15.07.26 11:53 Sarah Green

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16.07.26 21:38 patricialovick86

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16.07.26 21:38 patricialovick86

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17.07.26 19:24 laimqq90

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17.07.26 20:12 martinsjude080

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18.07.26 17:12 Malthe Larsen

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18.07.26 17:42 پریا رضایی

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18.07.26 17:46 Adem Akışık

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18.07.26 23:51 bernalzenaida

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19.07.26 04:10 Fraddy Pual

I can't thank Fundsretriever enough for everything they did for me. My name is Vanessa Conway, and I'm here to tell you my story of how I recovered money I never thought I'd see again. A few months ago, I put a significant amount of money into what looked like a genuine online investment company. At first, it felt real—they showed me fake profits and convinced me to invest even more. But when I tried to cash out, they went quiet and started asking for extra fees. That's when it hit me—I had been scammed. I was heartbroken, frustrated, and didn't know where to turn. That money was my savings—months of hard work gone. Then I found Fundsretriever online. I reached out, hoping for a miracle. Right away, their team made me feel heard. They were responsive, knowledgeable, and walked me through everything. They didn't just take my case—they took it seriously and kept me in the loop every step of the way. I finally felt like I had real experts fighting for me. And guess what? They actually got my money back. It wasn't instant, and it took teamwork, but it happened. When I saw those funds returned, I cried with joy. I'm sharing this so that anyone else out there who's been scammed knows—don't lose hope. Do your research before investing, and stay far away from platforms that promise too much too fast. And if you've already been stung, don't wait—get professional help immediately. Thank you, Fundsretriever, from the bottom of my heart. You didn't just recover my money—you restored my faith. — Vanessa Conway 📧 [email protected] 📱 WhatsApp: +16035121448 💬 Telegram: @Fundsretriever
19.07.26 19:53 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
19.07.26 19:53 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
19.07.26 19:54 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
30.07.26 00:04 Ahmed

A really cool analysis, thank you. I was especially struck by how strictly the order is defined: data processing and formatting come first, with color only at the very end. This really saves you from the typical mistake of "first a pretty palette, then we figure out what the chart is for." And the palette validator with OKLCH + colorblindness check is absolutely fantastic; you almost never see that in regular tools. By the way, while reading about rank-trajectory and the logarithmic scale, I immediately remembered how convenient it is to analyze dynamics on charts in ExpertOption—I've been trading there for quite some time now. When the data is well visualized, decisions are noticeably easier and more relaxed. I also liked the point about "no more than eight colors" and the dual-axis ban. Strict restrictions sometimes actually produce better results than complete freedom. I'll try this approach myself.
30.07.26 17:27 wendytaylor015

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30.07.26 17:27 wendytaylor015

My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
31.07.26 16:21 rssllhrnsb

I learned an important lesson after investing in what appeared to be a genuine opportunity. Unfortunately, I was unable to access my funds, which reinforced the importance of carrying out thorough due diligence, checking whether an investment is appropriately regulated, and seeking qualified professional advice rather than relying solely on online reviews or testimonials. During the process of addressing my case, I worked with Mrs. Doris Ashley, who communicated clearly, provided regular updates, and handled the matter in a professional manner. According to my experience, I have recovered $50,000 so far, while efforts to resolve the remaining balance are still in progress. If you wish to contact her, the details I used are: Mrs. Tatiana Sorina TEXT : (tatianasorina06 at G.Ma IL ..c 0 m ) Before committing money to any investment, take time to verify the legitimacy of the platform, confirm any relevant regulatory authorisations, and avoid investing more than you can comfortably afford to lose.
01.08.26 15:05 keithwilson9899

ETHEREUM RECOVERY ASSISTANCE: CAPITAL CRYPTO RECOVER HELPED ME RECOVER $98,000 WORTH OF LOST ETH In cases of cryptocurrency scams, having accurate information and trusted support is essential. I would like to recommend Capital Crypto Recover Service, a professional team that specializes in assisting individuals with the recovery of lost or stolen Bitcoin and Ethereum (ETH). Their experienced experts are dedicated to helping victims of digital asset fraud by carefully analyzing each case, developing strategic recovery plans, Capital Crypto Recover Service knowledgeable team's primary goals are to satisfy clients and offer significant support and working diligently toward fund retrieval. The team is committed to providing reliable assistance and maintaining a high level of client satisfaction. Based on my assessment, their reputation professionalism and a strong commitment to their clients. If you have experienced a cryptocurrency loss, you can contacting them for further assistance Phone (Call/Text): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
01.08.26 15:05 keithwilson9899

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03.08.26 20:05 Philip

I was a victim of a crypto theft involving a Pink Drainer, which resulted in the theft of my Wrapped Bitcoin (WBTC) from my Polygon network. The experience was incredibly frustrating and distressing, as I had no idea how to recover my funds. Unfortunately, by the time I noticed the theft, the funds had already been drained to an address that I had no control over, making it seem like an irreversible situation.The attack happened when I clicked on what appeared to be a legitimate link. I didn’t realize at the time that it was a phishing attempt designed to siphon off my private keys and access my wallet. The Pink Drainer, a type of malicious script used by attackers, is specifically designed to exploit such vulnerabilities in crypto wallets. The moment I realized that my WBTC had been drained from my Polygon network. I felt completely helpless, as I didn’t have direct access to the thief's address, and there was no way to reverse the transaction on my own at that point, I started searching for ways to recover my funds, but most resources only offered generic advice that wasn’t practical in this particular case. I quickly realized that if I wanted to have any hope of getting my assets back, I would need professional assistance. After some research, I came across a reliable and trusted recovery team called Aspen Recovery Experts. Their expertise in cryptocurrency recovery, especially in cases like mine, seemed promising.I decided to reach out to Aspen Recovery Experts, and I’m incredibly grateful that I did. Their team of crypto recovery experts was able to help me trace the stolen funds and identify the path the funds took after they left my wallet. Using advanced tools and techniques, they were able to track the transactions on the blockchain, helping me understand where my WBTC had been sent. More importantly, they worked tirelessly to assist me in contacting the necessary parties and even interfaced with blockchain analysts to help facilitate the recovery process.Thanks to their efforts, I was able to successfully recover my stolen funds. The entire process took some time, but the Aspen Recovery Experts dedicated team provided regular updates and kept me informed throughout the process, which gave me a sense of hope and relief during an otherwise stressful time. If you’re ever in a similar situation, I highly recommend reaching out to a trusted recovery team like Aspen Recovery Expertshhh . Their professionalism, knowledge, and expertise were critical in helping me recover my funds and regain control of my crypto assets. Whatsapp : +1 747 231 9036 Telegram : @ prohackerspy Email : [email protected]
03.08.26 20:06 Philip

I was a victim of a crypto theft involving a Pink Drainer, which resulted in the theft of my Wrapped Bitcoin (WBTC) from my Polygon network. The experience was incredibly frustrating and distressing, as I had no idea how to recover my funds. Unfortunately, by the time I noticed the theft, the funds had already been drained to an address that I had no control over, making it seem like an irreversible situation.The attack happened when I clicked on what appeared to be a legitimate link. I didn’t realize at the time that it was a phishing attempt designed to siphon off my private keys and access my wallet. The Pink Drainer, a type of malicious script used by attackers, is specifically designed to exploit such vulnerabilities in crypto wallets. The moment I realized that my WBTC had been drained from my Polygon network. I felt completely helpless, as I didn’t have direct access to the thief's address, and there was no way to reverse the transaction on my own at that point, I started searching for ways to recover my funds, but most resources only offered generic advice that wasn’t practical in this particular case. I quickly realized that if I wanted to have any hope of getting my assets back, I would need professional assistance. After some research, I came across a reliable and trusted recovery team called Aspen Recovery Experts. Their expertise in cryptocurrency recovery, especially in cases like mine, seemed promising.I decided to reach out to Aspen Recovery Experts, and I’m incredibly grateful that I did. Their team of crypto recovery experts was able to help me trace the stolen funds and identify the path the funds took after they left my wallet. Using advanced tools and techniques, they were able to track the transactions on the blockchain, helping me understand where my WBTC had been sent. More importantly, they worked tirelessly to assist me in contacting the necessary parties and even interfaced with blockchain analysts to help facilitate the recovery process.Thanks to their efforts, I was able to successfully recover my stolen funds. The entire process took some time, but the Aspen Recovery Experts dedicated team provided regular updates and kept me informed throughout the process, which gave me a sense of hope and relief during an otherwise stressful time. If you’re ever in a similar situation, I highly recommend reaching out to a trusted recovery team like Aspen Recovery Expertshhh . Their professionalism, knowledge, and expertise were critical in helping me recover my funds and regain control of my crypto assets. Whatsapp : +1 747 231 9036 Telegram : @ prohackerspy Email : [email protected]
04.08.26 11:05 Kisnoles

Excellent analysis, thank you. I was particularly struck by how rigidly the skill sets the order: data processing and form come first, with color coming last. This really cures the habit of "first a pretty palette, then we'll figure it out." A palette validator using OKLCH + color blindness + WCAG is something most chart generators lack. And regarding the boundaries of competence, it's very clear. Where there's a self-checking loop (color), you delegate freely. Where there's a heuristic (form, data interpretation), you remain the final filter. This is a universal principle, not just for /dataviz. By the way, when you look at trading dashboards (including those of decent platforms like ExpertOption), it's immediately clear who thought about readability and who just threw in rainbow lines. Tools like this skill could greatly improve the quality of analytics. Thanks again for the detailed analysis – saved.
04.08.26 12:37 kimberlyhebertt6877

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04.08.26 12:37 kimberlyhebertt6877

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23.08.26 20:02 leslieyee

Excellent analysis by /dataviz! I was particularly struck by how strictly the order is defined: "data meaning first, color last" and how the validator actually adjusts the palette according to OKLCH, color blindness, and WCAG standards. These rules greatly improve the quality of charts. By the way, a similar approach to clean and legible charts is highly valued in trading—for example, on the ExpertOption platform, the interface and price visualization are designed to ensure information is read instantly and without unnecessary noise.
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30.08.26 15:37 [email protected]

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01.09.26 11:16 lisawerth897

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02.09.26 03:43 kimberlyhebertt6877

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