#phi2

Live, measured metrics for the hashtag #phi2 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #phi2

This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.

$2,449.80/ year · 4-character #name
Claim #phi2$2,449.80/yr
Annual, renews each year
Buy on hashtag.space (web3)
one-timepay once, yours for life
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
8
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 8
0.1
Avg reactions / post
Mastodon · last 8

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 08:42 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 08:42 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 08:42 UTC

Everything below is measured over the latest 8 public posts (spanning ~22214 hours).

Top of the latest posts

  • Et si on installait une #IA en local sur un @raspberrypi RASPBERRYPI5 ? Je vous propose d'installer llama-cpp et #Ollama sur la framboise et de la tester avec différents modèles comme #Phi2 ou #Mistral https://www.framboise314.fr/faites-tou

    framboise314@[email protected]102025-01-25 16:56 UTCView post →
  • Можно ли пересадить алгоритм из маленькой модели в LLM? Эксперимент с grokking, residual stream и линейной проекцией Современные LLM (Large Language Models) — это черные ящики. Мы знаем, что они что-то умеют, но как они это делают внутри —

    Habr@[email protected]002026-06-26 06:42 UTCView post →
  • 🧠 #NVIDIA researchers are advancing SLMs through structured weight pruning and knowledge distillation, cutting down model size while preserving performance. For instance, #Minitron 8B and 4B models, derived from Nemotron 15B, outperform ma

    brozu ▪️@[email protected]002024-08-20 11:38 UTCView post →

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/phi2