enguard / tiny-guard-2m-en-response-jailbreak-toxic-chat

huggingface.co
Total runs: 15
24-hour runs: 0
7-day runs: 15
30-day runs: 15
Model's Last Updated: October 31 2025
text-classification

Introduction of tiny-guard-2m-en-response-jailbreak-toxic-chat

Model Details of tiny-guard-2m-en-response-jailbreak-toxic-chat

enguard/tiny-guard-2m-en-response-jailbreak-toxic-chat

This model is a fine-tuned Model2Vec classifier based on minishlab/potion-base-2m for the response-jailbreak found in the lmsys/toxic-chat dataset.

Installation
pip install model2vec[inference]
Usage
from model2vec.inference import StaticModelPipeline

model = StaticModelPipeline.from_pretrained(
  "enguard/tiny-guard-2m-en-response-jailbreak-toxic-chat"
)

model.predict(["Example sentence"])
model.predict_proba(["Example sentence"])
Why should you use this model?
  • Optimized for precision to reduce false positives.
  • Extremely fast inference using static embeddings powered by Model2Vec.
This model variant

Below is a quick overview of the model variant and core metrics.

Field Value
Classifies response-jailbreak
Base Model minishlab/potion-base-2m
Precision 0.9872
Full metrics (JSON)
{
  "no": {
    "precision": 0.9975257731958763,
    "recall": 0.9813387423935092,
    "f1-score": 0.9893660531697341,
    "support": 2465.0
  },
  "yes": {
    "precision": 0.5,
    "recall": 0.8846153846153846,
    "f1-score": 0.6388888888888888,
    "support": 52.0
  },
  "accuracy": 0.9793404847040127,
  "macro avg": {
    "precision": 0.7487628865979381,
    "recall": 0.9329770635044469,
    "f1-score": 0.8141274710293115,
    "support": 2517.0
  },
  "weighted avg": {
    "precision": 0.9872471318743882,
    "recall": 0.9793404847040127,
    "f1-score": 0.9821253648333798,
    "support": 2517.0
  }
}
Other model variants

Below is a general overview of the best-performing models for each dataset variant.

Resources
Citation

If you use this model, please cite Model2Vec:

@software{minishlab2024model2vec,
  author       = {Stephan Tulkens and {van Dongen}, Thomas},
  title        = {Model2Vec: Fast State-of-the-Art Static Embeddings},
  year         = {2024},
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.17270888},
  url          = {https://github.com/MinishLab/model2vec},
  license      = {MIT}
}

Runs of enguard tiny-guard-2m-en-response-jailbreak-toxic-chat on huggingface.co

15
Total runs
0
24-hour runs
15
3-day runs
15
7-day runs
15
30-day runs

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tiny-guard-2m-en-response-jailbreak-toxic-chat huggingface.co

tiny-guard-2m-en-response-jailbreak-toxic-chat huggingface.co is an AI model on huggingface.co that provides tiny-guard-2m-en-response-jailbreak-toxic-chat's model effect (), which can be used instantly with this enguard tiny-guard-2m-en-response-jailbreak-toxic-chat model. huggingface.co supports a free trial of the tiny-guard-2m-en-response-jailbreak-toxic-chat model, and also provides paid use of the tiny-guard-2m-en-response-jailbreak-toxic-chat. Support call tiny-guard-2m-en-response-jailbreak-toxic-chat model through api, including Node.js, Python, http.

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tiny-guard-2m-en-response-jailbreak-toxic-chat install

tiny-guard-2m-en-response-jailbreak-toxic-chat is an open source model from GitHub that offers a free installation service, and any user can find tiny-guard-2m-en-response-jailbreak-toxic-chat on GitHub to install. At the same time, huggingface.co provides the effect of tiny-guard-2m-en-response-jailbreak-toxic-chat install, users can directly use tiny-guard-2m-en-response-jailbreak-toxic-chat installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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https://huggingface.co/enguard/tiny-guard-2m-en-response-jailbreak-toxic-chat

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