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olmo2-7b-instruct-canonical-bf16
Sahmeee/olmo2-7b-instruct-canonical-bf16
olmo2-7b-instruct-canonical-bf16 is a machine learning model from Sahmeee. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Research checkpoint from a study of tokenization (reader) invariance and its effect on robustness to adversarial re-tokenization. Fine-tuned from allenai/OLMo-2-1124-7B-Instruct.
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At a glance
- License
- apache-2.0
- Model type
- olmo2
- Access
- Public
- Created
- Sep 8, 2026
- Updated
- Sep 8, 2026
- SHA
- 23b4973d
Base models
Model card
From the Hugging Face model README
canonical_bf16
Research checkpoint from a study of tokenization (reader) invariance and its
effect on robustness to adversarial re-tokenization. Fine-tuned from
allenai/OLMo-2-1124-7B-Instruct.
These are research artifacts, not products. Numbers below are measured on a 200-prompt AdvBench holdout that was excluded from training by construction.
Measured
| metric | value |
|---|---|
| — | not yet measured |
AdvTok ASR is attack success rate under adversarial tokenization
(Geh et al., arXiv:2503.02174), Llama-Guard-3-8B judged, greedy decoding.
XSTest over-refusal is the refusal rate on safe prompts — the cost side.
Training configuration
| field | value |
|---|
Parameter drift from base (training-happened guard)
| group | relative L2 |
|---|
Caveats
- Single seed. No claim of significance across seeds.
- Evaluated on English AdvBench/XSTest/Alpaca only.
- The safety numbers are for the specific attack studied; they do not imply robustness to other jailbreaks.
- Type
- olmo2
- License
- apache-2.0
- Created
- Sep 8, 2026
- Updated
- Sep 8, 2026