Telegram RegisterThe public register of Telegram

Channel

Vikhr models

@vikhrlabs

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

2,597subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002196162768
TypeChannel
Username@vikhrlabs
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/vikhrlabs

Growth

2,5962,5972,596.56 August 2026 — 2,597 subscribers6 August 2026 — 2,597 subscribers9 August 2026 — 2,596 subscribers12 August 2026 — 2,597 subscribers6 August 202612 August 2026
4 measurements spanning 6 days. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 2,596–2,597 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 12:532,597+1
9 Aug 2026, 05:212,596-1
6 Aug 2026, 15:502,597no change
6 Aug 2026, 13:492,597first reading

Engagement

19 posts held, back to 26 September 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 2 pagesof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 17 June 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

1,125 reactions across 19 posts, in 30 distinct kinds. The most used accounts for 36.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥41036.4%
😢20918.6%
❤19016.9%
👍12711.3%
💔302.67%
😁211.87%
🖕201.78%
😐171.51%
🤯110.978%
❤‍🔥90.8%
⚡80.711%
👏80.711%
😱80.711%
🤮80.711%
🤔70.622%
🥰70.622%
🤗60.533%
💩50.444%
🤡40.356%
🫡40.356%
10 further kinds161.42%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 19 of the 19 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 1,125reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 26 September 2025 to 17 June 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

17 Jun 2026, 13:36 UTC≈1,260 views72 reactionsread 7 August 2026
Forwarded from @lovedeathtransformersPhoto

SIQ-1-35B Короче я обучил qwen35b a3 с PPO и я первый раз в жизни увидел чтобы PPO докидывало нормально(reward был верифицируемый) Эта штука на karpathy autoresearch для parametr golf лучше чем glm5.2 и qwen350b и генерит идеи похожие на опус А еще она на bullshit бенч лучше чем NEX и gpt5.5 Модель + gguf: https://huggingface.co/AlexWortega/SIQ-1-35B Демо чтобы гонять на zero gpu и радоваться: https://huggingfac…

🔥54❤9👍7👏2

11 Jun 2026, 09:23 UTC≈1,970 views17 reactionsread 7 August 2026
Forwarded from @ruadaptnaya

31-я международная конференция по компьютерной лингвистике и интеллектуальным технологиям «Диалог» (https://dialogue-conf.org/) 24-26 июня 2026 года Приглашаем прийти послушать доклады и принять участие в обсуждении достижений больших языковых моделей и современной лингвистики Приглашенные доклады: Колмогорова Анастасия Владимировна д-р филол.наук, профессор, профессор департамента филологии Школы гуманитарных на…

👍10❤6🔥1

25 May 2026, 17:31 UTC≈3,310 views28 reactionsread 7 August 2026

Блог по мотивам https://huggingface.co/blog/AlexWortega/borealis

🔥20❤7👍1

30 Mar 2026, 17:33 UTC≈7,300 views378 reactionsread 7 August 2026

Вихри как проект был осонован мной глядя на тотальную неспоснобность команд в россии сделать нормальную ллмку для людей, в момент когда я начинал эту движуху у меня была только довольно жирная зарплата, навык и несколько гпу. Это вообще не планировалось как что то большое, выложить пару удачных моделей и все. Потом я решил еще повливать своих денег, набрать побольше реклам в LDT и подистилить gpt4, потом я захотел…

😢209❤97💔30❤‍🔥9👍9😁9⚡5🫡4

22 Dec 2025, 07:44 UTC≈7,110 views54 reactionsread 7 August 2026

Бета релиз Borealis 5b - 4b qwen + whisper + сделали плагин для vllm + теперь оно работает с инструкциям и может решать задачи qa, cls, summarize, json mode Это тестовый релиз, не финальный, я хочу собрать что не работает и как вы пользуетесь Модель на hf

🔥39❤7👍4🥰2🤮1🤯1

20 Dec 2025, 14:37 UTC≈5,040 views21 reactionsread 7 August 2026

Для чего вы используете audio llm типа qwen audio, voxtral? Используете ли?

😐15👍5👎1

25 Nov 2025, 06:25 UTC≈5,780 views29 reactionsread 7 August 2026

https://huggingface.co/DevQuasar/ai-sage.GigaChat3-702B-A36B-preview-bf16-GGUF/tree/main Теперь с gguf

🔥21👏4🥰2👨‍💻1💩1

24 Nov 2025, 14:59 UTC≈4,610 views27 reactionsread 7 August 2026
Forwarded from @llm_arenaPhoto

🔫 GenCode Mini Gallery Bench LLM Arena совместно с Сергеем Курбановым (руководитель направления RnD в компании MWS) рады представить новый бенчмарк. 📈 LLM стремительно эволюционируют и выходят на уровень AGENT-поведения, где модели решают задачи от анализа данных до полноценной разработки. На этом фоне особенно интересно посмотреть на то, как модели в режиме реального времени справляются даже с такими, на первый вз…

👍13🔥8❤6

23 Nov 2025, 20:59 UTC≈3,120 views9 reactionsread 7 August 2026
Forwarded from @gigadev_channelVideo

🤖 Хотите больше информации про наши последние релизы? 10 декабря на «Салют, Гига!» мы подробно расскажем, что сделали за этот год в командах GigaChat, Kandinsky и GigaData (платформы для управления данными, аналитики и поиска в контексте ИИ-моделей и сервисов). От архитектур и метрик до подходов, решений и планов на будущее. Будут доклады от инженеров, разборы под капотом, постерная сессия с командами и возможность…

🔥7👍2

20 Nov 2025, 11:01 UTC≈3,210 views86 reactionsread 7 August 2026
Forwarded from @official_gigachatPhoto

🔥МЫ ПРЕДСТАВЛЯЕМ КРУПНЕЙШИЙ OPEN-SOURCE AI В ЕВРОПЕ 🔥 Мы стремимся не замыкаться в «закрытой» технологии, а строить открытую платформу для всей страны, поэтому мы публикуем веса наших моделей Что появилось в открытом доступе ↓ 🔷 GigaChat Ultra Preview Самая мощная модель Сбера. Лучше DeepSeek V3.1 и GigaChat Max 2 в русскоязычных задачах. Подходит для бизнеса, аналитики, разработки и дообучения на ваших данных ➡ …

🔥60❤13👍8🤡3👏1🤔1

9 Nov 2025, 12:12 UTC≈13,100 views54 reactionsread 7 August 2026
Photo

Ксюша довезла постер!

🔥41🤗6👍5🌚1😁1

27 Oct 2025, 17:43 UTC≈4,400 views55 reactionsread 7 August 2026
Forwarded from @AvitoLivePhoto

🚀 Технологическая платформа Авито открывает доступ к собственным ИИ-моделям, в разработку которых компания вложила около полумиллиарда рублей A-Vibe и A-Vision – это первые российские открытые модели с глубокой оптимизацией под русский язык, специально обученные для e-commerce. Разработчики, стартапы, бизнес и исследователи получат готовые инструменты для анализа документов, автоматизации контента и создания ИИ-асс…

👍21🔥12🤯10🤮7👀2🤔2❤1

Showing the 12 most recent of 19 posts we hold for @vikhrlabs. 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 — 651,727 of 1,151,006entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Ruadaptная комната
@ruadaptnaya · 1,3144 postsMachine Learning Research
@MLResearch · 9571 postMyIDon.SITE
@myidonsite · 771 post

Republishes

Channels on the register whose posts this channel has forwarded.

GigaDev — разработка GigaChat
@gigadev_channel · 4,9522 postsAvito. Press room
@AvitoLive · 15,5491 postPavel Zloi
@evilfreelancer · 4,1651 postKrist/Blog
@krists · 4711 postLLM Arena
@llm_arena · 1,3891 postLove. Death. Transformers.
@lovedeathtransformers · 24,7081 postРЕПАКИ И ПОРТАТИВКИ ПОЛЕЗНЫХ НЕЙРОСЕТЕЙ ● НЕЙРОСОФТ
@neuroport · 14,0591 postGigaChat
@official_gigachat · 311,3961 postRuadaptная комната
@ruadaptnaya · 1,3141 post

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

Names

Channels on the register whose handles appear in this channel's posts.

LakoMoor
@LakoMoorDev · 2691 postРЕПАКИ И ПОРТАТИВКИ ПОЛЕЗНЫХ НЕЙРОСЕТЕЙ ● НЕЙРОСОФТ
@neuroport · 14,0591 postNLP Wanderer
@nlpwanderer · 1,4671 post

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Vikhr models” (@vikhrlabs), 2,597 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/vikhrlabs.

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.