Running
2
vLLM Semantic Router
ðŸ§
Analyze text for categories, facts, PII, and more
AI & ML interests
A Mixture-of-Models(MoM) Router that understands the request intent.
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Organization Card
One fabric. Many minds. We're introducing MoM (Mixture of Models)—a family of specialized routing models that power vLLM-SR's intelligent decision-making.
- vLLM Semantic Router 👉: project link
Why MoM?
vLLM-SR solves a critical problem: how to route LLM requests to the right model at the right time. Not every query needs the same resources—"What's the weather?" shouldn't cost as much as "Analyze this legal contract."
models
19
llm-semantic-router/feedback-detector
Text Classification
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0.1B
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Updated
llm-semantic-router/lora_jailbreak_classifier_bert-base-uncased_model
Text Classification
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0.1B
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Updated
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935
llm-semantic-router/dissat-detector
Text Classification
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0.1B
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Updated
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16
llm-semantic-router/dissat-explainer
Text Classification
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0.1B
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Updated
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15
llm-semantic-router/halugate-sentinel
Text Classification
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0.1B
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Updated
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23
llm-semantic-router/lora_pii_detector_modernbert-base_model
Text Classification
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0.1B
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Updated
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441
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1
llm-semantic-router/lora_pii_detector_roberta-base_model
Text Classification
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0.1B
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Updated
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478
llm-semantic-router/lora_pii_detector_bert-base-uncased_model
Text Classification
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0.1B
•
Updated
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3.63k
llm-semantic-router/lora_intent_classifier_modernbert-base_model
Text Classification
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0.1B
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Updated
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505
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1
llm-semantic-router/lora_intent_classifier_roberta-base_model
Text Classification
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0.1B
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Updated
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504
datasets
0
None public yet