Light-MER Checkpoints
This repository hosts model checkpoints for Light-MER, the official implementation of:
Do We Really Need Multimodal Emotion Language Models Larger Than 1B Parameters?
GitHub: https://github.com/kevinkke233-maker/Light-MER
Checkpoints
| File | Description | Status |
|---|---|---|
light-mer-teacher-qwen3-8b.pth |
Qwen3-8B teacher checkpoint for Stage 1 SWD-H distillation | Released |
stage1-swdh-qwen3-0.6b/checkpoint_000060_loss_1.291.pth |
Recommended Qwen3-0.6B student checkpoint after Stage 1 SWD-H distillation | Released |
stage1-swdh-qwen3-0.6b/checkpoint_*.pth |
Stage 1 SWD-H checkpoint trajectory from epoch 5 to epoch 60 | Released |
stage1-swdh-qwen3-0.6b/config.yaml |
Stage 1 SWD-H training config used for the released checkpoints | Released |
light-mer-stage2-mgrpo-qwen3-0.6b.pth |
Qwen3-0.6B student after Stage 2 M-GRPO refinement | COMING SOON |
Usage
Download the teacher checkpoint and place it under the GitHub repo checkpoint directory:
checkpoints/light-mer-teacher-qwen3-8b.pth
Then run Stage 1 SWD-H distillation with:
CONDA_ENV_NAME=swdh-stage1 \
TEACHER_CKPT=checkpoints/light-mer-teacher-qwen3-8b.pth \
bash scripts/train_stage1_swdh.sh
For Stage 1 inference or evaluation, download one of the released student checkpoints, for example:
checkpoints/light-mer-stage1-swdh-qwen3-0.6b.pth
The recommended Stage 1 checkpoint is:
stage1-swdh-qwen3-0.6b/checkpoint_000060_loss_1.291.pth
License
This checkpoint repository is released under the Apache License 2.0. Please also follow the licenses and usage terms of the external datasets and pretrained models used with Light-MER.
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