Laya spam classifiers decision model
Laya spam classifiers copy Jev judgments for Telegram and Farcaster. Public weights include reported teacher agreement and task-specific thresholds.
By Nikita Kolmogorov · Hugging Face package release: 6 Nov 2026
Two multilingual Laya fine-tunes copy Jev judgments for Telegram messages and Farcaster casts or accounts. The Telegram bot uses a 0.81 deletion gate and exempts admins. Farcaster ships Platt scaling for its raw scores. The evaluations measure agreement with the teacher, including its mistakes.
Quick answers
What is Laya spam classifiers by Nikita Kolmogorov?
Laya spam classifiers: Two multilingual Laya fine-tunes copy Jev judgments for Telegram messages and Farcaster casts or accounts.
Who makes Laya spam classifiers?
Laya spam classifiers: Nikita Kolmogorov
Are Laya spam classifiers's weights open?
Laya spam classifiers: Public weights, question files and loading examples for both classifiers Licence: Apache-2.0, according to both model cards
Facts
- Base
- convaiinnovations/laya-multilingual
- Inputs
- Text, links and metadata; no media-content or avatar inspection
- Training
- Telegram: 5,540 messages, with training data unreleased; Farcaster: 16.6k casts and 4,384 account snapshots
- Licence
- Apache-2.0, according to both model cards
- Access
- Public weights, question files and loading examples for both classifiers
Claims and sources
- The maker reports 95.4% agreement with Jev on 978 held-out Telegram messages at the 0.81 gate, precision 0.82 and recall 0.70. These compare with Jev's delete labels, not human judgments. Reported median latency is 38 ms on an Apple GPU and about 400 ms on a few CPU threads. vendor reportedsource
- The maker reports 95.7% agreement on 2,489 held-out Farcaster casts at gate 0.5, precision 0.92 and recall 0.80. Account agreement is 97.1% on 652 held-out accounts. The newest 15% is held out by time; new spam styles may differ. vendor reportedsource
Links
Source: Telegram card and weights → Source: Farcaster card and weights →
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