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
18
llm-semantic-router/dissat-detector
Text Classification
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0.1B
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Updated
llm-semantic-router/dissat-explainer
Text Classification
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0.1B
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Updated
llm-semantic-router/halugate-sentinel
Text Classification
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0.1B
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Updated
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18
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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407
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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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439
llm-semantic-router/lora_pii_detector_bert-base-uncased_model
Text Classification
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0.1B
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Updated
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2.78k
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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471
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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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471
llm-semantic-router/lora_intent_classifier_bert-base-uncased_model
Text Classification
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0.1B
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Updated
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841
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1
llm-semantic-router/qwen3_mmlu_math-reasoner_no_leakage_r32
Text Generation
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Updated
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2
datasets
0
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