Говорят что запуск больших языковых моделей (LLM) на собственном железе — это полная независимость, конфиденциальность и отсутствие подписок. И мне стало интересно - можно ли запустить LLM модель локально? А если компьютер не новый и доступна только видеокарта на 8 Gb видеопамяти? Долго пытался освоить программы Ollama и LM Studio, но там наткнулся на несовместимость железа и невозможность конфигурации запуска llam…

Channel
Secret Archives Team
@Secret_Archives_Team
On this record: Growth · Engagement · Posts · Citations · Cite this entry
9subscribers
+2 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002935889926 |
|---|---|
| Type | Channel |
| Username | @Secret_Archives_Team |
| Created | 16 August 2025 — measured — dated from the channel’s first post |
| First recorded | 12 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/Secret_Archives_Team |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 18:27 | 9 | +2 |
| 12 Aug 2026, 17:01 | 7 | no change |
| 9 Aug 2026, 03:30 | 7 | first reading |
Engagement
16 posts held, back to 16 August 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 144.4%
- avg views ÷ 9 subscribers
- Avg views / post
- 13.0
- 1 post measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 1
- of 16 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 23 July 2026 |
|---|---|
| Posts held | 16 (16 August 2025 – 23 July 2026) |
| Views total | 13 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 17:01 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Recent posts
Posted without readable text
Написал статью на сайте Тайные Архивы, в которой затронуты вопросы использования локальных LLM и некоторые размышления с этим связанные. А вопросов набралось много: ▪️Почему эра «бесплатного облачного ИИ» близится к концу. ▪️Что такое квантование моделей и как эта технология позволяет запускать умные нейросети даже на среднем домашнем ПК или ноутбуке. ▪️Где искать и как бесплатно скачивать открытые open-source мо…
Новое видео на Youtube - канале Тайные Архивы Тема - настройка GLM 5.2 в Claude Code для бесплатного использования https://www.youtube.com/watch?v=SGFt0AqrLFk
Друзья, хочу поделиться своим проектом. Я разработал Transcrib — десктопное Electron-приложение для перевода аудио и видео в текстовый формат. Программа работает на базе мощной модели Whisper от OpenAI и Node.js. Да, сразу скажу честно: приложение пока довольно сырое, а процесс транскрибации — дело небыстрое (на слабом ПК 3-минутный ролик обрабатывается около 9 минут). Но оно работает и полностью выполняет свою зад…
Обновлена версия YTDowloaders для Windows: Выпущены обновленные версии программы - версии 1.15.1: ▫️ Portable — YTDownloaders 1.15.1.exe (работает без установки) ▫️ Инсталлятор — YTDownloaders Setup 1.15.1.exe
Дополнительная информация - из VK тоже закачивает
🎉 Новые версии: YTDownloaders 1.15.0 (Windows) и YTSmart 1.0.5 (Android) 📥 YTDownloaders — удобная программа с графическим интерфейсом для загрузки видео и аудио. Теперь поддерживаются не только YouTube, но и Instagram, Vimeo, RuTube, TikTok. Что нового: — Полностью переписан код — новая кодовая база — Обновлён интерфейс программы — Удалена поддержка VPN-сервисов (нагружали систему) — Для YouTube: превью загружаетс…
Signed Dmitry T-Archives
📱 Встречайте YTSmart v1.0.4 — YouTube в вашем кармане! Теперь скачивать любимые видео и музыку можно прямо на смартфон. Мы выпустили легкое и мощное Android-приложение, которое делает процесс загрузки максимально простым. Что умеет YTSmart: 🎬 Видео и Аудио — качайте ролики или конвертируйте их в MP3/подкасты на лету. 📂 Плейлисты — вставьте одну ссылку и забирайте весь список видео целиком. ⚡️ Фоновый режим — прил…
Signed Dmitry Maksimov
Изменен сайт программы YTDownloaders - archivesteamsoft.github.io
Signed Dmitry Maksimov
Вышла очередная версия программы - YTDownloaders v1.14.4, в которую добавлены новые важные сейчас функции - основное это поддержка Proton VPN, и возможность выбора качества видео, 📥 YTDownloaders — это удобная программа с графическим интерфейсом для загрузки видео и аудио из YouTube со встроенной поддержкой FFmpeg. Скачать программу YTDownloaders v1.14.4 💻 Системные требования - ОС: Windows 10/11 (64-bit) - RAM: …
Signed Dmitry Maksimov
Дорогие друзья! Пока идёт борьба за мир, удалось подготовить выпуск разработанного очередного полезного приложения для вас. Название - YTPlayer. Это десктопное приложение для организации и воспроизведения ссылок YouTube видео. Смысл в том, что вы можете сохранять и каталогизировать ссылки из Youtube, создавать собственную библиотеку видео сортированные по категориям. Вы сами можете создавать необходимые категории…
Signed Dmitry Maksimov
Showing the 12 most recent of 16 posts we hold for @Secret_Archives_Team. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank
Citation-graph rank — 1,002,560 of 1,568,528entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 16 August 2026 — this entry's latest reading, not the date you are reading this.
“Secret Archives Team” (@Secret_Archives_Team), 9 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/Secret_Archives_Team.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.