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SingProbe is an
intrinsic streaming guardrail
built on
inclusionAI/Ling-3.0-tiny
. Rather than running a separate safety model, this lightweight probe reuses the base model's hidden states during generation to score, at every token,
query intent
,
response unsafety
, and
hallucination risk
. It adds less than 0.5% decode-time overhead.
The integrations return one score dictionary per generated token (
label_0
–
label_9
). They currently support Ling-3.0 (
BailingMoeV3ForCausalLM
) base models only. Use the exact base-model/probe pair:
inclusionAI/Ling-3.0-tiny
with this checkpoint.
Citation
@article{singteam2026singprobe,
title = {SingProbe Technical Report},
author = {Sing Team},
journal = {arXiv preprint arXiv:2608.30703},
year = {2026},
}
Runs of inclusionAI Ling-3.0-tiny-singprobe on huggingface.co
251
Total runs
0
24-hour runs
0
3-day runs
-5
7-day runs
-5
30-day runs
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