Ektome Qwen1.5 0.5B Chat PristinelyUncensored

Ektome-Qwen1.5-0.5B-Chat-PristinelyUncensored

Ektome-Qwen1.5-0.5B-Chat-PristinelyUncensored

Uncensored. No n=2800 certificate has been run for this model, so no capability-retention claim is made.

compliance 0.06 to 1.00 at capability -0.007 vs pristine.

$$\colorbox{black}{$\color{white} \begin{array}{ll} \textsf{EKTOME CERTIFICATE} & {} \ \textsf{capability} & \textsf{NOT} \ \textsf{margin} & 3% \ \textsf{items } n & 200 \ \textsf{worst-axis bound} & -0.008 \ \textsf{compliance} & 0.06 \rightarrow 1.00 \ \end{array}$}$$

⚠️ Not certified

No n=2800 paired certificate exists for this model. Any numbers below are point estimates with no confidence interval.

📄 Read the whitepaper (PDF) — full method, receipts and certification. The PDF is the authoritative document: dark-typeset, with the complete derivation, the per-axis certificate and the reproducibility hashes.

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Why this exists

Standard abliteration removes a coarse refusal direction that is entangled with directions carrying knowledge and reasoning. The result is an uncensored model with a capability tax that is almost never measured.

Ektomē (ἐκτομή, excision) isolates and removes only the refusal-specific component, leaving general helpfulness intact, and does so norm-preservingly on the pristine model — no training, no distillation, no damage to repair. The extraction depth is selected per model by automated search against measured compliance.

The estimator, excision operator and depth-selection procedure are proprietary. What is published here is the measured outcome and the evidence for it, which you can verify against the artifacts in this repo.

The receipt

model	capability (MMLU-val) ↑	compliance on harmful ↑
pristine Qwen1.5-0.5B-Chat	0.328	0.060
Ektomē (this model)	0.335	1.000

These are point estimates with no confidence interval — which is precisely why the next section exists.

The certificate

Capability retention is certified by a paired non-inferiority test against the pristine model (exact McNemar, Holm-corrected, one-sided bootstrap bound on the drop $d$ vs a 3% margin):

axis	n	ref	cand	d upper	verdict
MMLU-val (POINT ESTIMATE, n=200, no CI)	200	0.328	0.335	-0.008	UNCERTIFIED

Overall: NOT CERTIFIED - no n=2800 paired test has been run for this model

Reproducible from seed=20260726, pack sha256:7bbaff877146e081....

Generation health checks

metric	pristine	Ektomē	n
foreign_rate	0.0	0.0	15
degen_rate	0.0	0.1	15
instr_pass	1.0	0.8	5

These are degeneration guards — code-switching, babbling, format compliance — not capability measures. Note the sample sizes: they detect a broken model, not a subtly weaker one. The capability claim rests on the certificate above, not here.

Quantisations

No quantisations have been published for this model yet — bf16 weights only.

Limitations

The certificate bounds capability retention only. It does not certify safety, factual accuracy, or fitness for any purpose. Axes marked inconclusive are honestly under-powered, and the certificate states the $n$ needed to resolve them. Compliance uses a keyword classifier — a proxy that evasive phrasing can fool. This model is uncensored by construction: it will not refuse, and you are accountable for what you do with it.

Citation

@software{ektome_Ektome-Qwen1.5-0.5B-Chat-PristinelyUncensored,
  title  = {Ektome-Qwen1.5-0.5B-Chat-PristinelyUncensored},
  author = {Zynerji},
  year   = {2026},
  url    = {https://huggingface.co/Zynerji/Ektome-Qwen1.5-0.5B-Chat-PristinelyUncensored}
}