Update README.md

README.md

@@ -22,34 +22,3 @@ short_description: 'MoM: Specialized Models for Intelligent Routing'
 ## 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."
-
-## MoM System Card
-
-A quick overview of all MoM models:
-
-<div align="center">
-
-| Category | Model | Size | Architecture | Base Model | Purpose |
-|----------|-------|------|--------------|------------|---------|
-| **🧠 Intelligent Routing** | mom-brain-flash | Flash | Encoder | ModernBERT | Ultra-fast intent classification |
-| | mom-brain-pro | Pro | Decoder | Qwen3 0.6B | Balanced routing with reasoning |
-| | mom-brain-max | Max | Decoder | Qwen3 1.7B | Maximum accuracy for complex decisions |
-| **🔍 Similarity Search** | mom-similarity-flash | Flash | Encoder | BERT | Semantic similarity matching |
-| **🔒 Prompt Guardian** | mom-jailbreak-flash | Flash | Encoder | ModernBERT | Jailbreak/attack detection |
-| | mom-pii-flash | Flash | Encoder | ModernBERT | PII detection & privacy protection |
-| **🎯 SLM Experts** | mom-expert-math-flash | Flash | Decoder | Qwen3 0.6B | Backend math problem solver |
-| | mom-expert-science-flash | Flash | Decoder | Qwen3 0.6B | Backend science problem solver |
-| | mom-expert-social-flash | Flash | Decoder | Qwen3 0.6B | Backend social sciences solver |
-| | mom-expert-humanities-flash | Flash | Decoder | Qwen3 0.6B | Backend humanities solver |
-| | mom-expert-law-flash | Flash | Decoder | Qwen3 0.6B | Backend law problem solver |
-| | mom-expert-generalist-flash | Flash | Decoder | Qwen3 0.6B | Backend generalist solver |
-
-</div>
-
-**Key Insights:**
-
-- **4 Categories**: 3 for routing (Intelligent Routing, Similarity Search, Prompt Guardian) + 1 for backend problem solving (SLM Experts)
-- **ModernBERT** (encoder-only) → Sub-10ms latency for high-throughput routing
-- **Qwen3** (decoder-only) → Explainable routing decisions + domain-specific problem solving
-- **Flash** models achieve 10,000+ QPS on commodity hardware
-- **SLM Experts** are not routers—they are specialized backend models that solve domain-specific problems