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Model: Zynerji/Ektome-Qwen3-4Bi-2507-PristinelyUncensored
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---
license: apache-2.0
base_model: Qwen/Qwen3-4B-Instruct-2507
tags:
- uncensored
- abliterated
- certificate-failed
- ektome
- sphragis
- qwen3
language:
- en
pipeline_tag: text-generation
---
![Ektome-Qwen3-4Bi-2507-PristinelyUncensored](./hero.png)
# Ektome-Qwen3-4Bi-2507-PristinelyUncensored
**Uncensored — and it did NOT pass its capability certificate. Read the certificate before using this model.**
> **compliance 0.00 to 1.00 at capability -0.005 vs pristine.**
$$\colorbox{black}{$\color{white}
\begin{array}{ll}
\textsf{EKTOME CERTIFICATE} & {} \\
\textsf{capability} & \textsf{FAIL} \\
\textsf{margin} & 3\% \\
\textsf{items } n & 2800 \\
\textsf{worst-axis bound} & +0.025 \\
\textsf{compliance} & 0.00 \rightarrow 1.00 \\
\end{array}$}$$
> ### ⚠️ This model failed its capability certificate
>
> A paired non-inferiority test against the pristine model at n=2800 found a **real capability loss** on:
>
> - **arithmetic**: pristine 0.879 → this model 0.869 (bound on the drop +0.016, exceeds the 3% margin)
> - **instruction**: pristine 0.860 → this model 0.847 (bound on the drop +0.022, exceeds the 3% margin)
>
> It is published for transparency and for uses where the affected axis
> does not matter. **Do not treat it as capability-preserving.**
📄 **[Read the whitepaper (PDF)](./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.
---
## 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 `Qwen3-4B-Instruct-2507` | 0.667 | 0.000 |
| **Ektomē (this model)** | **0.672** | **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 |
|---|---|---|---|---|---|
| arithmetic | 1400 | 0.879 | 0.869 | +0.016 | FAIL |
| instruction | 600 | 0.860 | 0.847 | +0.022 | FAIL |
| knowledge | 400 | 0.935 | 0.922 | +0.025 | PASS |
| reasoning | 400 | 0.825 | 0.833 | +0.003 | PASS |
**Overall: FAIL (3% margin, n=2800, alpha=0.05)**
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 | 0.0 | 15 |
| `instr_pass` | 1.0 | 1.0 | 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
| file | bits | notes |
|---|---|---|
| `Ektome-Qwen3-4Bi-2507-Q8_0.gguf` | 8 | near-lossless |
| `Ektome-Qwen3-4Bi-2507-Q6_K.gguf` | 6 | |
| `Ektome-Qwen3-4Bi-2507-Q5_K_M.gguf` | 5 | |
| `Ektome-Qwen3-4Bi-2507-Q4_K_M.gguf` | 4 | imatrix |
| `Ektome-Qwen3-4Bi-2507-IQ4_XS.gguf` | 4 | imatrix, smallest usable |
| `Ektome-Qwen3-4Bi-2507-IQ3_M.gguf` | 3 | imatrix |
`IQ*` variants are imatrix-quantised — better quality per bit at low precision.
## 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
```bibtex
@software{ektome_Ektome-Qwen3-4Bi-2507-PristinelyUncensored,
title = {Ektome-Qwen3-4Bi-2507-PristinelyUncensored},
author = {Zynerji},
year = {2026},
url = {https://huggingface.co/Zynerji/Ektome-Qwen3-4Bi-2507-PristinelyUncensored}
}
```

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{
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"reference": {
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"sha256": "2de27099bbb15bab4f7b35599b215f038fdb68b3f5f4e1cda1a464f9dd18e14e"
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"overall": "FAIL",
"claim": "At least one axis shows a statistically significant accuracy regression (exact McNemar, Holm-corrected, alpha=0.05).",
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{
"axis": "arithmetic",
"n": 1400,
"counts": {
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"both_wrong": 161
},
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0.017143
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"p_improvement": 0.99466308,
"improved": false,
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"n_needed_for_margin": 204,
"verdict": "FAIL",
"reason": "significant_regression"
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{
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"verdict": "FAIL",
"reason": "significant_regression"
},
{
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-0.0025,
0.0275
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"reason": "non_inferior_within_margin"
},
{
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"d_ci": [
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0.005
],
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"improved": false,
"mde_at_power": 0.016404,
"n_needed_for_margin": 204,
"verdict": "PASS",
"reason": "non_inferior_within_margin"
}
],
"params": {
"margin": 0.03,
"alpha": 0.05,
"n_floor": 30,
"power": 0.8,
"n_boot": 4000,
"seed": 0
}
}

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{
"status": "SHIP",
"target": 0.99,
"SE_mmlu": 0.023555453190291203,
"base_compliance": 0.0,
"compliance": 1.0,
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},
"gen_delta": {
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"d_degen": 0.0,
"d_instr": 0.0,
"holds_gen": true
},
"base_model": "Qwen/Qwen3-4B-Instruct-2507",
"_note": "Redacted: search trajectory, selected depth and edit-scope removed. Reported values are the measured outcome only."
}

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{
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{
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default_stage:
default_modifiers:
QuantizationModifier:
targets: [Linear]
ignore: [lm_head]
scheme: NVFP4
bypass_divisibility_checks: false

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"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}"
}

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