AIM_MLLM_Unlearning / README.md
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---
license: apache-2.0
base_model: llava-hf/llava-1.5-7b-hf
tags:
- machine-unlearning
- multimodal
- llava
- mllmu-bench
- remem
---
# Ours — LLaVA-1.5-7B unlearning checkpoints
Unlearned checkpoints for MLLMU-Bench and ReMem (LLaVA-1.5-7B).
Only the vision encoder is unlearned: each `trainable_state.pt` holds
vision-tower weights only. Load the memorized (vanilla) model and overwrite its
vision-tower weights with them.
```
vanilla_remem_lora/ # memorized LoRA adapter for ReMem
ours/mllmu_forget5/trainable_state.pt # MLLMU-Bench, 5% forget
ours/mllmu_forget10/trainable_state.pt # MLLMU-Bench, 10% forget
ours/remem_forget1/trainable_state.pt # ReMem, 5% forget
ours/remem_forget2/trainable_state.pt # ReMem, 10% forget
```
- MLLMU-Bench vanilla: [`yejinkim/mllmu-vanilla`](https://huggingface.co/yejinkim/mllmu-vanilla)
- ReMem vanilla: `vanilla_remem_lora/` in this repo, merged into
[`llava-hf/llava-1.5-7b-hf`](https://huggingface.co/llava-hf/llava-1.5-7b-hf)