Principle:OpenGVLab InternVL Weight Format Conversion
| Knowledge Sources | |
|---|---|
| Domains | Model_Deployment, Tooling |
| Last Updated | 2026-02-07 00:00 GMT |
Overview
A weight format conversion utility that transforms InternVL model checkpoints between custom internal format and standard HuggingFace format.
Description
InternVL's internal training checkpoints may use a custom weight naming convention that differs from the standard HuggingFace format. The conversion tool remaps weight keys between these formats, enabling:
- Sharing trained models on HuggingFace Hub
- Loading community checkpoints in InternVL's training pipeline
- Interoperability between different InternVL versions
Usage
Use this tool after training to convert checkpoints for HuggingFace Hub upload, or when loading external checkpoints that use a different naming convention.
Theoretical Basis
Weight format conversion is a key remapping operation:
# Pseudo-code: Weight key remapping
def convert(state_dict, mapping):
new_state_dict = {}
for old_key, value in state_dict.items():
new_key = mapping.get(old_key, old_key)
new_state_dict[new_key] = value
return new_state_dict
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