LOOM-Eval
Getting Started
Installation
System Requirements
Basic Installation
Step 1: Create Environment
Step 2: Install LOOM-Eval
Step 3: Install Flash Attention
Acceleration Methods
General Acceleration Environment
KIVI Installation
ThinK Installation
FlexPrefill Installation
XAttention Installation
Other Acceleration Methods
RAG Installation
Next Steps
Quick Start
Prerequisites
System Requirements
Installation
Basic Usage
Automatic Evaluation (Recommended)
Manual Evaluation (Step-by-Step)
Key Parameters
Core Parameters
Advanced Parameters
WebUI Usage
Interactive Evaluation
Example Scenarios
Scenario 1: Quick Test with Lightweight Mode
Scenario 2: Multi-GPU Long Context Evaluation
Scenario 3: Using vLLM for Faster Inference
Scenario 4: API Interface Usage
Scenario 5: RAG-Enhanced Evaluation
Scenario 6: Acceleration for Memory Efficiency
Running LOOMBench Suite
Option 1: Individual Benchmarks
Option 2: Full Suite Automation
Custom Templates
Data Download Instructions
Troubleshooting
Common Issues
Output Structure
User Guide
Benchmarks
Overview
Running a Benchmark
Basic Command
Example: L_CiteEval
LOOMBench (Lightweight Suite)
All Benchmarks
Faithfulness Benchmarks
General Benchmarks
Generation Benchmarks
Reasoning Benchmarks
Retrieval Benchmarks
Reward Benchmarks
Specialization Benchmarks
Acceleration Methods
KV Cache Optimization
Sparse Attention
Usage
Performance (128K Context)
Model Compatibility
Installation Notes
Hardware Requirements
API Reference
Command Line Interface
Main Commands
Core Parameters
Inference Options
Acceleration Options
RAG Options
Extension Options
Storage Strategy Options
Custom Templates
Examples
Basic Evaluation
With Acceleration
With RAG
vLLM Backend
API Model
RAG (Retrieval-Augmented Generation)
Supported Methods
Installation
Quick Start
Configuration
Command-line Options
Task Compatibility
Best Practices
LOOM-Eval
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