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  • Blog
    • Sequence Parallel & Ring Attention: Training with Ultra-Long Contexts
    • Ascend NPU Support: Fused Operators and Flash Linear Attention
    • Two Execution Modes: torchrun (Local) vs Ray (Distributed)
    • Multi-LoRA: Concurrent Multi-Tenant Training on Shared GPUs
    • TUI & Auto-Research: An AI Agent for Training Control
    • OpenEnv Integration: Connecting External Environments to RL Training
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  • Quick Start
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    • Architecture
  • API Reference
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      • Overview
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    • NPU (Ascend) Quick Start Guide
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    • Qwen3.5 Training Best Practices
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  • Components
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      • Basic Dataset Components
      • Lazy Loading Dataset
      • Fixed-Length Packing Dataset
      • Streaming Dataset
      • Streaming Fixed-Length Packing Dataset
    • Data Format
      • Message
      • Trajectory
      • Model Input
      • Model Output
      • Sampling Output
      • Model Output
    • Template
      • DeepSeek-V4 Template
      • Tool Call Parsers
      • Template
    • Preprocessor and Filter
      • Preprocessor
      • Built-in Preprocessors
      • Filter
    • Data Loading
      • DataLoader
    • Task Processor
      • InputProcessor
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      • Supported Models
      • TwinkleModel
      • TransformersModel
      • MultiLoraTransformersModel
      • MegatronModel
      • MultiLoraMegatronModel
    • Sampler
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      • DPOMetric
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      • Building Metrics
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      • Cross Entropy
      • Chunked Cross Entropy
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      • CosineWarmupScheduler
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    • Training Middleware
      • DeviceMesh/DeviceGroup
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      • Padding-Free Training
      • RemoteClass
      • TwinkleClient
    • CLI
      • CLI
    • Notifier
      • Notifier
    • Agentic
      • Agentic Preprocessor
      • Protocol
      • Multi-Turn Rollout
      • Tools & ToolManager
      • Environments (Envs)
      • Multi-Turn Tool Usage Guide
    • Auto
      • Auto-Research
      • SkillProvider
  • Need help?
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Documentation
Components
Sampler

Sampler

Sampler vLLMSampler TorchSampler
Sampler vLLMSampler TorchSampler
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