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DataBubble·

Model Detail

fastino logo

gliguard-LLMGuardrails-300M

—
Provider: fastinoCategory: llmPipeline: text-classification
DB Score
1.8
Downloads
6K
Likes
68
Day
+0.0%
Week
+279.0%
Month
+0.0%
Overview

gliguard-LLMGuardrails-300M is a large language model with 104M parameters released by fastino. The model is registered under the text-classification pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.

Technical

gliguard-LLMGuardrails-300M ships with 104M parameters. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Trending Signal

Downloads of gliguard-LLMGuardrails-300M have moved +279.0% over the trailing seven days. That puts the model in active uptrend territory; a sustained move of this size usually reflects a recent release, a viral integration, or a benchmark surprise rather than steady-state demand. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.

Read about databubble_score →
Use Cases

gliguard-LLMGuardrails-300M is best fit for general-purpose chat and instruction-following workloads. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
Research Paper
arXiv: 2605.07982→
Model Info
Licenseapache-2.0
Citations3 (0 influential)
Recent newsView all news →
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arxivneutral71d ago

GLiGuard: Schema-Conditioned Classification for LLM Safeguard

arXiv:2605.07982v1 Announce Type: new Abstract: Ensuring safe, policy-compliant outputs from large language models requires real-time content moderation that can scale across multiple safety dimensions. However, state-of-the-art guardrail models rely on autoregressive decoders with 7B--27B parameter

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