#bfcl
Live, measured metrics for the hashtag #bfcl from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #bfcl
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.
Day-by-day usage
measured · mastodon.social (Mastodon public tags API) · fetched 2026-10-01 10:25 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-10-01 10:25 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-01 10:25 UTCEverything below is measured over the latest 2 public posts (spanning ~1157 hours).
Posting hours (UTC)
Languages: German (1) · Russian (1)
Avg boosts / post: 0
Top of the latest posts
🧪 LLM Benchmark Showdown: 5 lokale Ollama-Modelle im Vergleich Getestet auf derselben Hardware (#gmktecevo2 #AMDRyzenAIMaxPlus395 #strixhalo): • #GSM8K (100 Samples) — Math • #BFCL (100/Kategorie) — Function Calling • #MBPP+ (50) — Python
Маленькая модель на 0.6B держит квантование лучше, чем «крупная» на 1B: измерил деградацию function-calling на 4 ГБ VRAM Как квантование ломает function-calling у LLM? Написал бенчмарк QuantCall, протестировав модели на 4 ГБ VRAM. Главный и
#bfcl across platforms
every network with a public tag surfaceFollow #bfcl straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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/bfcl