twinkle
0.3.0
Usage Guide
Quick Start
Twinkle Installation
Server and Client
NPU (Ascend) Quick Start Guide
Twinkle Training Service on ModelScope
Qwen3.5 Training Best Practices
Components
Dataset
Data Format
Template
Preprocessor and Filter
Data Loading
Task Processor
Model
Sampler
Reward
Advantage
Gym
Hub
Checkpoint Engine
Metrics
Loss
Loss Scale
LRScheduler
Patch
Plugin
Kernel
Training Middleware
twinkle
Twinkle DOCUMENTATION
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Twinkle DOCUMENTATION
Usage Guide
Quick Start
Twinkle Installation
Server and Client
NPU (Ascend) Quick Start Guide
Twinkle Training Service on ModelScope
Qwen3.5 Training Best Practices
Components
Dataset
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
Template
Template mapping
Preprocessor and Filter
Preprocessor
Built-in Preprocessors
Filter
Data Loading
DataLoader
Task Processor
InputProcessor
GRPOLossProcessor
Model
TwinkleModel
TransformersModel
MultiLoraTransformersModel
MegatronModel
MultiLoraMegatronModel
Sampler
Sampler
vLLMSampler
TorchSampler
Reward
Reward
GSM8K Reward
MultiModal Reward
OlympiadBench Reward
Advantage
Advantage
GRPOAdvantage
RLOOAdvantage
Gym
Gym
Hub
Hub
Checkpoint Engine
CheckpointEngine
NCCLCheckpointEngine
HCCLCheckpointEngine
Metrics
TrainMetric
LossMetric
Accuracy
CompletionRewardMetric
DPOMetric
Building Metrics
Loss
Cross Entropy
Chunked Cross Entropy
DPO Loss
GKD Loss
GRPO Loss
MSE Loss
Building New Loss
Loss Scale
Loss Scale
LRScheduler
CosineWarmupScheduler
LinearWarmupScheduler
Patch
Patch
Plugin
Plugin
Service Security
Kernel
Twinkle Kernel Module
Training Middleware
DeviceMesh/DeviceGroup
RemoteClass
Indices and tables
Index
Module Index
Search Page