Downloads · 30 days
8
5% of all-time downloads
shirasko/llama-3.1-8b-instruct-snmf-uranium
llama-3.1-8b-instruct-snmf-uranium is a text generation model from shirasko. Use it when you need the model to write or continue text. It is set up for transformers.
Downloads · 30 days
8
5% of all-time downloads
All-time downloads
148
Public
Parameters
8B
16.1 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors16.1 GB · 100%
From the Hugging Face model README
| Field | Value |
|---|---|
| Unlearning method | SNMF |
| Base model | meta-llama/Llama-3.1-8B-Instruct |
| Target concept | Uranium |
| Checkpoint type | Full Model Weights |
| Rank / seed | 200 / 42 |
| Train eval protocol | mc |
Selected hyperparameters (from unlearned_checkpoints.json):
| Parameter | Value |
|---|---|
coverage_thresh | 0.95 |
delta_embed | 0 |
delta_in | 7 |
delta_out | 7 |
feature_source | all |
k_features_embed | 0 |
k_features_mlp_in | 60 |
k_features_mlp_out | 33 |
layer_hi_in | 16 |
layer_hi_out | 21 |
layer_lo_in | 0 |
layer_lo_out | 11 |
n_tokens_edited | 0 |
ratio_thresh | 2 |
w_mode | both |
Headline scores used for checkpoint selection:
| Metric | Train (after unlearning) | Test (after unlearning) |
|---|---|---|
| Efficacy | 1 | 1 |
| Specificity | 0.699 | 0.541 |
| Harmonic mean | 0.823 | 0.702 |
| Relearning QA (MC) | — | 0.36 |
From evaluation/score_comparison.csv:
| Metric | Baseline (train) | After unlearn (train) | Baseline (test) | After unlearn (test) |
|---|---|---|---|---|
| QA accuracy | 0.76 | 0.1 | 0.8 | 0.18 |
| QA fraction | 1 | 0 | 1 | 0 |
| SimDom accuracy | 0.72 | 0.52 | 0.68 | 0.42 |
| SimDom fraction | 1 | 0.574 | 1 | 0.395 |
| MMLU accuracy | 0.62 | 0.58 | 0.65 | 0.593 |
| MMLU fraction | 1 | 0.892 | 1 | 0.857 |
| File | Description |
|---|---|
unlearned_checkpoints.json | Checkpoint metadata & hyperparameters |
evaluation/evaluation_summary.json | Full evaluation payload (train/test/relearning) |
evaluation/score_comparison.csv | Baseline vs. unlearned comparison table |