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Model: Naahraf27/npo_llama-3.1-8b-instruct_forget10_ep5_lr5e-5_alpha2.0_beta0.1 Source: Original Platform
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README.md
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README.md
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---
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license: llama3.1
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library_name: transformers
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base_model: open-unlearning/tofu_Llama-3.1-8B-Instruct_full
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tags:
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- unlearning
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- tofu
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- npo
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- llama
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- memory-laundering
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- machine-unlearning
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datasets:
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- locuslab/TOFU
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pipeline_tag: text-generation
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language:
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- en
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---
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# 8B NPO-Unlearned Llama -- TOFU forget10
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This is the **benchmark-selected rank-1 8B checkpoint** from:
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> **Do Unlearned LLMs Really Forget? A Multi-View Audit of TOFU Unlearning Across 1B, 3B, and 8B Llama Models**
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> Farhaan Fayaz, Anas Adnan, Danial Norsam, Vidur Pitumbur, Berken Gokcek, Amir Solanki
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> University College London
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The model was produced by applying **Negative Preference Optimisation (NPO)** to the TOFU-finetuned Llama-3.1-8B-Instruct checkpoint, targeting the `forget10` split (20 fictitious authors, 200 QA pairs).
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## Intended use
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This checkpoint is released as a **research artefact** for reproducibility. It is the exact model evaluated in the paper. It is not intended for production deployment.
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## Training details
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| Parameter | Value |
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|-----------|-------|
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| Base model | [`open-unlearning/tofu_Llama-3.1-8B-Instruct_full`](https://huggingface.co/open-unlearning/tofu_Llama-3.1-8B-Instruct_full) |
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| Unlearning method | NPO |
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| Forget split | `forget10` (20 authors, 200 QA pairs) |
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| Retain split | `retain90` |
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| Epochs | 5 |
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| Learning rate | 5e-5 |
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| Alpha | 2.0 |
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| Beta | 0.1 |
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| Sweep | 54-run grid (2 epochs x 3 LRs x 3 alphas x 3 betas) |
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| Selection | Rank-1 by official TOFU `forget_quality` metric (blind) |
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## Benchmark and audit results
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| Metric | Value |
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|--------|-------|
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| TOFU forget quality | 0.700 |
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| TOFU model utility | 0.576 |
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| Overall novel-recall leak (corrected scorer) | 8.93% |
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| Format-shift leak rate | 36.9% |
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| Best-of-N prompt-level leak | 14.5% |
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| Masked probe top-1 accuracy (last layer) | 0.628 |
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| Forgotten-answer log-likelihood shift vs TOFU-full | +0.061 |
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| RTT recovery delta | +7.64 pp |
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Under the corrected novel-recall scorer (which excludes prompt-echoed content), base models leak near zero (0.4%), confirming that detected leakage is genuine TOFU-specific knowledge. The TOFU-full model leaks 9.42% at this scale. This unlearned checkpoint leaks 8.93% -- a reduction of only 0.49 pp despite passing the TOFU benchmark. Format-shift prompting alone extracts 36.9%, and RTT recovery (+7.64 pp) is the highest across all three scales, showing that larger models preserve more recoverable residual knowledge.
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Full audit details, including per-family breakdowns, are reported in the paper and the [GitHub repository](https://github.com/Naahraf27/memory-laundering).
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## How to load
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "Naahraf27/npo_llama-3.1-8b-instruct_forget10_ep5_lr5e-5_alpha2.0_beta0.1"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype="bfloat16", device_map="auto")
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```
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## Citation
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If you use this checkpoint, please cite:
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```bibtex
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@article{fayaz2026memory,
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title={Do Unlearned LLMs Really Forget? A Multi-View Audit of TOFU Unlearning Across 1B, 3B, and 8B Llama Models},
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author={Fayaz, Farhaan and Adnan, Anas and Norsam, Danial and Pitumbur, Vidur and Gokcek, Berken and Solanki, Amir},
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year={2026},
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institution={University College London}
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}
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```
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config.json
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"head_dim": 128,
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"mlp_bias": false,
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"model_type": "llama",
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"transformers_version": "4.51.3",
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"vocab_size": 128256
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}
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|
||||
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|
||||
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
|
||||
size 17209920
|
||||
2064
tokenizer_config.json
Normal file
2064
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user