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toolathlonEval/HarborIntent-Compact-Release

sourceHugging Faceapache-2.0updated 2mo agoView on Hugging Face
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HarborIntent-Compact

HarborIntent-Compact is a small assistant-routing model designed for intent detection, slot extraction, and safe tool selection in customer-support workflows.

<div align="center"> <img src="assets/architecture.png" width="70%" alt="HarborIntent compact architecture" /> </div>

Release Evaluation

The release candidate was evaluated with the frozen HarborBench suite. All values are normalized to the range 0–1.

CapabilityHarborIntent-Compact
Intent Accuracy0.851
Slot F10.829
Entity Recall0.824
Multi-turn Success0.801
Tool-routing Accuracy0.846
Groundedness0.837
Safety Pass Rate0.910
Response Conciseness0.792

<div align="center"> <img src="assets/evaluation.png" width="70%" alt="HarborBench evaluation overview" /> </div>

Intended Use

Use this model to route English-language support requests to a constrained set of approved tools. Review outputs before using them in high-impact decisions.

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python
from transformers import AutoModel, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("HarborIntent-Compact-Release")
model = AutoModel.from_pretrained("HarborIntent-Compact-Release")

Limitations

The model is not designed for open-ended generation, medical advice, legal advice, or autonomous financial actions.

License

Apache-2.0.