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README.md

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@@ -10,9 +10,8 @@ A lightweight library for LLM-as-a-Judge evaluations using vLLM hosted models. E
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- 🚀 **Simple Interface**: Single `evaluate()` method that adapts to any use case
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- 🎯 **Pre-built Metrics**: 20+ ready-to-use evaluation metrics
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- 🛡️ **Model-Specific Support:** Seamlessly works with specialized models like Llama Guard without breaking their trained formats.
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- 🔄 **Async Native**: Built for high-throughput evaluations
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- **High Performance**: Async-first design enables high-throughput evaluations
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- 🔧 **Template Support**: Dynamic evaluations with template variables
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-**High Performance**: Optimized for vLLM with automatic batching
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- 🌐 **API Mode**: Run as a REST API service
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## Installation

docs/index.md

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- 🚀 **Simple Interface**: Single `evaluate()` method that adapts to any use case
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- 🎯 **Pre-built Metrics**: 20+ ready-to-use evaluation metrics
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- 🛡️ **Model-Specific Support:** Seamlessly works with specialized models like Llama Guard without breaking their trained formats.
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- 🔄 **Async Native**: Built for high-throughput evaluations
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- **High Performance**: Async-first design enables high-throughput evaluations
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- 🔧 **Template Support**: Dynamic evaluations with template variables
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-**High Performance**: Optimized for vLLM with automatic batching
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- 🌐 **API Mode**: Run as a REST API service
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## Installation

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