#ai程式碼編輯模型
Live, measured metrics for the hashtag #ai程式碼編輯模型 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #ai程式碼編輯模型
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.online (Mastodon public tags API) · fetched 2026-08-22 13:59 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.online (Mastodon public search API) · fetched 2026-08-22 13:59 UTCNo related tags with measured usage found for #ai程式碼編輯模型.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-08-22 13:59 UTCEverything below is measured over the latest 1 public posts.
Posting hours (UTC)
Languages: Chinese (Taiwan) (1)
Avg boosts / post: 0
Used together with
Top of the latest posts
🌗 sweepai/sweep-next-edit-1.5B · Hugging Face ➤ 本地端快速運行的程式碼編輯預測模型 ✤ https://huggingface.co/sweepai/sweep-next-edit-1.5B Sweep AI 在 Hugging Face 平臺上發布了名為 Sweep Next-Edit 1.5B 的模型。這是一個專為程式碼「下一次編輯」（next-edit）自動補全設計的 15 億參數模型，採用 GGUF 格式並量化至 Q8
What “ai程式碼編輯模型” means
Wiktionaryai/ˈɑ.i/
- nounA type of three-toed sloth, Bradypus tridactylus, endemic to forests of southern Venezuela, the Guianas, and northern Brazil.
#ai程式碼編輯模型 across platforms
every network with a public tag surfaceFollow #ai程式碼編輯模型 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/ai程式碼編輯模型