Instructions to use macmacmacmac/Sev-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use macmacmacmac/Sev-4B with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Qwen/Qwen3.5-4B-Base") model = PeftModel.from_pretrained(base_model, "macmacmacmac/Sev-4B") - Notebooks
- Google Colab
- Kaggle
Sev-4B v0.3.1: policy false alerts 5/140, under the 5 percent ceiling
Browse files- README.md +42 -47
- adapter_model.safetensors +1 -1
- head.pt +2 -2
- provenance.json +10 -10
- result.json +149 -2726
- train.log +11 -85
- training_config.json +10 -10
- training_metrics.json +7 -7
README.md
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@@ -19,15 +19,18 @@ tags:
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# Sev-4B: security evidence and response policies
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Sev-4B scores supplied answers to questions about security logs and recovered
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programs. **v0.3.
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On 175 policy questions from 35 source programs held out of training,
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## Use
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cd Sev
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uv sync --extra serve
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uv run python -m kev.serve \
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--run macmacmacmac/Sev-4B@v0.3.
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```
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Send TypeSafe-shaped requests to `POST /v1/systemone`. Supply the observed
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supplied code without executing it. Its scores support analyst review; they do
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not establish that a program ran, identify its human owner, or prove agent origin.
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The checkpoint ships with temperature **1.
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-
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`KEV_BACKEND=torch KEV_DTYPE=fp32 KEV_MERGE=1` on CUDA. Accelerated serving can
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differ numerically. The API's `confidence` rescales the largest probability above
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chance; it is not an independently verified correctness probability.
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native execution trace. Source-closure groups separate training, calibration
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and development. No locked test was read.
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[Training configuration](training_config.json), [provenance](provenance.json),
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and [data lineage](DATA_PROVENANCE.md) pin the inputs. The original
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[`v0.1.0-research`](https://huggingface.co/macmacmacmac/Sev-4B/tree/v0.1.0-research)
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synthetic-origin preview is a separate historical lineage. The previous
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[`v0.2.0-swarmtraces-research`](https://huggingface.co/macmacmacmac/Sev-4B/tree/v0.2.0-swarmtraces-research)
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## Matched development results
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| Policy decision |
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| --- | ---: | ---: |
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| Correct argmax answers |
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| Required approvals
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Each model's alert threshold was selected on calibration only, with an empirical
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5% false-alert budget. The parent threshold is 0.887537 and this release's is
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0.844982. Development false alerts increase from 8.6% to **10.0%**, failing the
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5% ceiling. Required-approval recall rises from 40.0% to 71.4%. These are explicit
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policy decisions on a development panel, not measured detection rates in live
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networks.
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none of the 35 required approvals.
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questions. The panel lacks console-positive and code-execution-positive cases;
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it has one onward-request positive. HTML-policy negatives remain weak at 2/21
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correct argmax answers, and their threshold false alerts increase from 9/21 to
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12/21. The aggregate does not establish every operation's detection quality.
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| Retained panel |
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| --- | ---: | ---: |
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| Manual SwarmTraces | 65/83 | 66/83 |
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| Static SwarmTraces | 345/354 | 347/354 |
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0.0116 and Brier by 0.0077. No matched continuation without the new component was
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run, so the isolated causal contribution of SwarmTraces is not established.
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-
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-
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-
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-
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[Policy evaluation](evaluation.json), [DNS evaluation](dns-evaluation.json), and
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[registered screen](screen.json) retain the complete comparisons.
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## Calibration and artifact verification
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Only temperature metadata changed when assembling the serving copy. Learned
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head tensors, adapter and tokenizer bytes match the evaluated checkpoint.
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[Calibration](calibration.json), [integrity evidence](checkpoint-integrity.json),
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and [SHA256SUMS](SHA256SUMS) identify the release files.
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Research iteration is paused following this release. The 0.8B and 9B checkpoints
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are not updated by this publication.
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## License and attribution
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Source and adapter/head weights carry Apache-2.0 notices. Preserve [LICENSE](LICENSE),
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[NOTICE](NOTICE) and the Qwen [BASE_LICENSE](BASE_LICENSE). Sev builds on Kev by
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Jared Palmer and Qwen3.5 by the Qwen team.
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Each dataset retains its own terms. Upstream SwarmTraces reuse terms remain
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unverified; the model license does not relicense those artifacts. The collection
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includes metadata-only entries, and membership does not imply training use.
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The historical synthetic source's notice applies only to that source. See
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-
[data provenance](DATA_PROVENANCE.md).
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# Sev-4B: security evidence and response policies
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Sev-4B scores supplied answers to questions about security logs and recovered
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+
programs. **v0.3.1-html-contrast-research** continues
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+
`v0.3.0-response-policy-research`. It is a Qwen3.5-4B LoRA adapter with a
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decision head. It does not generate text.
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+
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On 175 policy questions from 35 source programs held out of training, this
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checkpoint answers **158/175, 90.3%**, up from 147/175 on v0.3.0. At the
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calibration-selected alert cut it catches **35/35** required approvals and
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raises **5/140** false alerts, **3.6%**, under the 5% ceiling. v0.3.0 raised
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14/140 and failed that ceiling. Twelve of those fourteen were allowed HTML
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reads. This pass trains the contrast on the same program: writing `innerText`
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requires approval, and parsing HTML does not. The DNS diagnostic was not rerun.
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The trial's isolation-and-packing check failed. v0.3.0 remains available.
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## Use
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cd Sev
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uv sync --extra serve
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uv run python -m kev.serve \
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--run macmacmacmac/Sev-4B@v0.3.1-html-contrast-research --port 8009
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```
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Send TypeSafe-shaped requests to `POST /v1/systemone`. Supply the observed
|
|
|
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supplied code without executing it. Its scores support analyst review; they do
|
| 51 |
not establish that a program ran, identify its human owner, or prove agent origin.
|
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+
The checkpoint ships with temperature **1.0**. The false-alert cut for the
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policy panel is **1.0** on that raw approval probability: alert only when the
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approval option is certain. That cut was chosen on the 140 policy calibration
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questions, at a 5% false-alert budget, and then applied to development.
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+
Reported evaluation uses
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`KEV_BACKEND=torch KEV_DTYPE=fp32 KEV_MERGE=1` on CUDA. Accelerated serving can
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differ numerically. The API's `confidence` rescales the largest probability above
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chance; it is not an independently verified correctness probability.
|
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|
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native execution trace. Source-closure groups separate training, calibration
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and development. No locked test was read.
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+
[Training configuration](https://huggingface.co/macmacmacmac/Sev-4B/blob/v0.3.0-response-policy-research/training_config.json), [provenance](https://huggingface.co/macmacmacmac/Sev-4B/blob/v0.3.0-response-policy-research/provenance.json),
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| 88 |
+
and [data lineage](https://huggingface.co/macmacmacmac/Sev-4B/blob/v0.3.0-response-policy-research/DATA_PROVENANCE.md) pin the inputs. The original
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[`v0.1.0-research`](https://huggingface.co/macmacmacmac/Sev-4B/tree/v0.1.0-research)
|
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synthetic-origin preview is a separate historical lineage. The previous
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[`v0.2.0-swarmtraces-research`](https://huggingface.co/macmacmacmac/Sev-4B/tree/v0.2.0-swarmtraces-research)
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## Matched development results
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+
| Policy decision | v0.3.0 | v0.3.1 |
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| --- | ---: | ---: |
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+
| Correct argmax answers | 147/175 | 158/175 |
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+
| Required approvals detected at the alert cut | 25/35 | 35/35 |
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| False alerts at that cut | 14/140 | 5/140 |
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| Allowed HTML questions flagged | 12/21 | 0/21 |
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+
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Each alert cut was selected on calibration only, with a 5% false-alert budget.
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+
v0.3.1's cut is 1.0 on the raw approval probability. The 5 remaining false
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alerts are 4 console questions and 1 plain-text question. These are explicit
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policy decisions on a development panel, not measured detection rates in live
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networks.
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+
The retained-task table and the DNS result below were measured on v0.3.0.
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They were not rerun for v0.3.1.
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| Retained panel | v0.2.0 | v0.3.0, not rerun here |
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| --- | ---: | ---: |
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| Manual SwarmTraces | 65/83 | 66/83 |
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| Static SwarmTraces | 345/354 | 347/354 |
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0.0116 and Brier by 0.0077. No matched continuation without the new component was
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run, so the isolated causal contribution of SwarmTraces is not established.
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+
On v0.3.0 the DNS diagnostic was **21/32** and failed the zero-new-error check.
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v0.3.1 did not rerun it.
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+
[Policy evaluation](https://huggingface.co/macmacmacmac/Sev-4B/blob/v0.3.0-response-policy-research/evaluation.json), [DNS evaluation](https://huggingface.co/macmacmacmac/Sev-4B/blob/v0.3.0-response-policy-research/dns-evaluation.json), and
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+
[registered screen](https://huggingface.co/macmacmacmac/Sev-4B/blob/v0.3.0-response-policy-research/screen.json) retain the complete comparisons.
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## Calibration and artifact verification
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|
|
|
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Only temperature metadata changed when assembling the serving copy. Learned
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head tensors, adapter and tokenizer bytes match the evaluated checkpoint.
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| 143 |
+
[Calibration](https://huggingface.co/macmacmacmac/Sev-4B/blob/v0.3.0-response-policy-research/calibration.json), [integrity evidence](https://huggingface.co/macmacmacmac/Sev-4B/blob/v0.3.0-response-policy-research/checkpoint-integrity.json),
|
| 144 |
+
and [SHA256SUMS](https://huggingface.co/macmacmacmac/Sev-4B/blob/v0.3.0-response-policy-research/SHA256SUMS) identify the release files.
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| 145 |
|
| 146 |
Research iteration is paused following this release. The 0.8B and 9B checkpoints
|
| 147 |
are not updated by this publication.
|
| 148 |
|
| 149 |
## License and attribution
|
| 150 |
|
| 151 |
+
Source and adapter/head weights carry Apache-2.0 notices. Preserve [LICENSE](https://huggingface.co/macmacmacmac/Sev-4B/blob/v0.3.0-response-policy-research/LICENSE),
|
| 152 |
+
[NOTICE](https://huggingface.co/macmacmacmac/Sev-4B/blob/v0.3.0-response-policy-research/NOTICE) and the Qwen [BASE_LICENSE](https://huggingface.co/macmacmacmac/Sev-4B/blob/v0.3.0-response-policy-research/BASE_LICENSE). Sev builds on Kev by
|
| 153 |
Jared Palmer and Qwen3.5 by the Qwen team.
|
| 154 |
|
| 155 |
Each dataset retains its own terms. Upstream SwarmTraces reuse terms remain
|
| 156 |
unverified; the model license does not relicense those artifacts. The collection
|
| 157 |
includes metadata-only entries, and membership does not imply training use.
|
| 158 |
The historical synthetic source's notice applies only to that source. See
|
| 159 |
+
[data provenance](https://huggingface.co/macmacmacmac/Sev-4B/blob/v0.3.0-response-policy-research/DATA_PROVENANCE.md).
|
adapter_model.safetensors
CHANGED
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head.pt
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provenance.json
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{
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"config": {
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"epochs":
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"lr":
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"lora": 16,
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"accum": 2,
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"batch": 4,
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"focal_gamma": 0.0,
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"base_revision": "1001bb4d826a52d1f399e183466143f4da7b741b",
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-
"init_from": "macmacmacmac/Sev-4B@
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"lora_targets": "all",
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"head_dim": 256,
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"weights_dtype": "fp32",
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"kev/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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"kev/anchors.py": "6963eafdb276db5a6c94d939eae675c761555553b8d0f963ffd803448beaabbb",
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"pyproject.toml": "39ec40f14c88598dee7ac98fb859a5a44e22337235a3064ebd5e89036ce81e30",
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"git_commit": "
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"platform": "Linux-4.19.0-gvisor-x86_64-with-glibc2.36",
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"torch": "2.8.0+cu128",
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"device": "cuda",
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"gpu": "NVIDIA H100 80GB HBM3",
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"legacy_checkpoint": false,
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"measured_checkpoint": {
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"head_sha256": "
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"inference_temperature": 1.0
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}
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}
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{
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"base_revision": "1001bb4d826a52d1f399e183466143f4da7b741b",
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"lora_targets": "all",
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"head_dim": 256,
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"weights_dtype": "fp32",
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"torch": "2.8.0+cu128",
|
| 71 |
"device": "cuda",
|
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"gpu": "NVIDIA H100 80GB HBM3",
|
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"legacy_checkpoint": false,
|
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"measured_checkpoint": {
|
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+
"requested": "/runs/sev-html-contrast-4b-v1/00-trial-0/checkpoint",
|
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+
"resolved": "/runs/sev-html-contrast-4b-v1/00-trial-0/checkpoint",
|
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"head_sha256": "2724bebcc54d4846194130594b98d3e3b9c632935c0f1d5077e46e23c48b2dc8",
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"inference_temperature": 1.0
|
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|
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}
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result.json
CHANGED
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| 51 |
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| 227 |
"provenance": {
|
| 228 |
"config": {
|
| 229 |
+
"epochs": 5,
|
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| 320 |
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|
| 321 |
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| 322 |
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train.log
CHANGED
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@@ -1,88 +1,14 @@
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| 1 |
Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.
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| 2 |
-
delta: warm start from /__modal/volumes/vo-RociVuGycNGtzvUcdOqecz/hub/models--macmacmacmac--Sev-4B/snapshots/
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device=cuda trainable params=33.8M
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-
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| 5 |
[transformers] `causal_conv1d_fn` is falling back to its reference PyTorch implementation because `causal_conv1d` is not installed. This is correct but much slower; install `causal_conv1d` for the optimized kernel.
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ep0 step 10/
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ep0 step 820/823 loss 0.528 kl 0.000 anchor 0.000 0.134s/rec
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-
saved /runs/sev-r2-response-policy-4b-v2/00-trial-0/checkpoint
|
|
|
|
| 1 |
Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.
|
| 2 |
+
delta: warm start from /__modal/volumes/vo-RociVuGycNGtzvUcdOqecz/hub/models--macmacmacmac--Sev-4B/snapshots/da0a131c2636b06c16bbca7d8ae84f0dc1e90b7e: 496 adapter tensors and the pointer head loaded
|
| 3 |
device=cuda trainable params=33.8M
|
| 4 |
+
123 training requests (holdout=[]), questions by type {'choice': 188}
|
| 5 |
[transformers] `causal_conv1d_fn` is falling back to its reference PyTorch implementation because `causal_conv1d` is not installed. This is correct but much slower; install `causal_conv1d` for the optimized kernel.
|
| 6 |
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ep4 step 80/80 loss 0.000 kl 0.000 anchor 0.000 0.377s/rec
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| 14 |
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saved /runs/sev-html-contrast-4b-v1/00-trial-0/checkpoint
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training_config.json
CHANGED
|
@@ -2,8 +2,8 @@
|
|
| 2 |
"args": {
|
| 3 |
"base": "Qwen/Qwen3.5-4B-Base",
|
| 4 |
"n_per_source": 1000,
|
| 5 |
-
"epochs":
|
| 6 |
-
"lr":
|
| 7 |
"head_lr": 0.0,
|
| 8 |
"weight_decay": 0.01,
|
| 9 |
"lora": 16,
|
|
@@ -15,7 +15,7 @@
|
|
| 15 |
"label_smoothing": 0.0,
|
| 16 |
"brier_w": 0.0,
|
| 17 |
"focal_gamma": 0.0,
|
| 18 |
-
"suite": "/root/evals/sev/response-policy-
|
| 19 |
"train_sources": "",
|
| 20 |
"device": "cuda",
|
| 21 |
"batch": 4,
|
|
@@ -36,19 +36,19 @@
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|
| 36 |
"anchor": "",
|
| 37 |
"anchor_w": 0.0,
|
| 38 |
"anchor_sources": "",
|
| 39 |
-
"out": "/runs/sev-
|
| 40 |
"data": "",
|
| 41 |
"replay": 0,
|
| 42 |
-
"init_from": "macmacmacmac/Sev-4B@
|
| 43 |
"seed": 4
|
| 44 |
},
|
| 45 |
-
"suite_sha256": "
|
| 46 |
"base_revision": "1001bb4d826a52d1f399e183466143f4da7b741b",
|
| 47 |
"init_source": {
|
| 48 |
-
"init_from": "macmacmacmac/Sev-4B@
|
| 49 |
-
"resolved": "/__modal/volumes/vo-RociVuGycNGtzvUcdOqecz/hub/models--macmacmacmac--Sev-4B/snapshots/
|
| 50 |
-
"adapter_sha256": "
|
| 51 |
-
"head_sha256": "
|
| 52 |
"adapter_tensors": 496
|
| 53 |
},
|
| 54 |
"ordinal_objective": "ranked_probability_score",
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|
| 2 |
"args": {
|
| 3 |
"base": "Qwen/Qwen3.5-4B-Base",
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| 4 |
"n_per_source": 1000,
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| 5 |
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| 6 |
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"lr": 1e-05,
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| 7 |
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|
| 8 |
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|
| 9 |
"lora": 16,
|
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|
| 15 |
"label_smoothing": 0.0,
|
| 16 |
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|
| 17 |
"focal_gamma": 0.0,
|
| 18 |
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"suite": "/root/evals/sev/response-policy-html-contrast-v1",
|
| 19 |
"train_sources": "",
|
| 20 |
"device": "cuda",
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| 21 |
"batch": 4,
|
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|
| 36 |
"anchor": "",
|
| 37 |
"anchor_w": 0.0,
|
| 38 |
"anchor_sources": "",
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| 39 |
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"out": "/runs/sev-html-contrast-4b-v1/00-trial-0/checkpoint",
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| 40 |
"data": "",
|
| 41 |
"replay": 0,
|
| 42 |
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|
| 43 |
"seed": 4
|
| 44 |
},
|
| 45 |
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"suite_sha256": "40d3a8b3bd416a3754ecc30e9791a9ebb14a26c8f2a4422057f769a2dbce4dee",
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| 46 |
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| 47 |
"init_source": {
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| 48 |
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"init_from": "macmacmacmac/Sev-4B@v0.3.0-response-policy-research",
|
| 49 |
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"resolved": "/__modal/volumes/vo-RociVuGycNGtzvUcdOqecz/hub/models--macmacmacmac--Sev-4B/snapshots/da0a131c2636b06c16bbca7d8ae84f0dc1e90b7e",
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| 50 |
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| 53 |
},
|
| 54 |
"ordinal_objective": "ranked_probability_score",
|
training_metrics.json
CHANGED
|
@@ -1,14 +1,14 @@
|
|
| 1 |
{
|
| 2 |
-
"wall_seconds":
|
| 3 |
-
"records_seen":
|
| 4 |
-
"requested_records":
|
| 5 |
"truncated_records": 0,
|
| 6 |
"rejected_records": 0,
|
| 7 |
-
"optimizer_steps":
|
| 8 |
-
"forward_tokens":
|
| 9 |
-
"peak_device_bytes":
|
| 10 |
"device": "cuda",
|
| 11 |
"dtype": "bf16",
|
| 12 |
"batch": 4,
|
| 13 |
-
"peak_rss_bytes":
|
| 14 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"wall_seconds": 232.53715324401855,
|
| 3 |
+
"records_seen": 615,
|
| 4 |
+
"requested_records": 615,
|
| 5 |
"truncated_records": 0,
|
| 6 |
"rejected_records": 0,
|
| 7 |
+
"optimizer_steps": 80,
|
| 8 |
+
"forward_tokens": 209595,
|
| 9 |
+
"peak_device_bytes": 20358582784,
|
| 10 |
"device": "cuda",
|
| 11 |
"dtype": "bf16",
|
| 12 |
"batch": 4,
|
| 13 |
+
"peak_rss_bytes": 31542779904
|
| 14 |
}
|