| license: apache-2.0 | |
| base_model: Qwen/Qwen3-4B | |
| library_name: peft | |
| tags: | |
| - memghost | |
| - whisperbench | |
| - agent-security | |
| # MemGhost | |
| MemGhost is the released PEFT LoRA adapter for the MemGhost paper artifact. It loads on top of `Qwen/Qwen3-4B` and is intended for controlled WhisperBench reproduction and analysis. | |
| Adapter SHA256: `85cad4f606b002797a102e55fae31a39df22b2d4a0d07bc1fcbca51fb1bbe572`. | |
| ## Use | |
| Authenticate first while this repository is private: | |
| ```bash | |
| pip install "transformers>=4.51" peft accelerate safetensors | |
| huggingface-cli login | |
| ``` | |
| ```python | |
| import torch | |
| from peft import PeftModel | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| base_id = "Qwen/Qwen3-4B" | |
| memghost_id = "Yechao/MemGhost" | |
| tokenizer = AutoTokenizer.from_pretrained(memghost_id, trust_remote_code=True) | |
| base = AutoModelForCausalLM.from_pretrained( | |
| base_id, | |
| torch_dtype=torch.bfloat16, | |
| device_map="auto", | |
| trust_remote_code=True, | |
| ) | |
| model = PeftModel.from_pretrained(base, memghost_id) | |
| model.eval() | |
| ``` | |
| Use only in controlled research environments. | |