add-new-model
OfficialAdd MoE language model support to PithTrain.
Software Engineering#distributed-training#model-integration#moe#pithtrain#checkpoint-converter#training-tests
Authormlc-ai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Enables seamless addition of a new MoE language model to PithTrain, covering model implementation, framework wiring, and optional checkpoint conversion to run full training and inference cycles.
Core Features & Use Cases
- End-to-end model integration: create the model class, wire it into the training framework, and configure MoE routing and experts.
- Checkpoint conversion support: add an HF2dcp/dcp2hf converter when necessary to align layouts or quantify weights for quantized checkpoints.
- Validation workflow: execute the standard phase ladder from HF reference inventory to distributed training and inference checks.
Quick Start
Add a new MoE model to PithTrain by creating the model skeleton, wiring it into the training framework, optionally adding a checkpoint converter, and validating with the standard phase ladder.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: add-new-model Download link: https://github.com/mlc-ai/pith-train/archive/main.zip#add-new-model Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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