46 lines
1.9 KiB
Markdown
46 lines
1.9 KiB
Markdown
---
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license: apache-2.0
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base_model: Qwen/Qwen3-8B
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- ektome
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- abliterated
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- uncensored
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- pristinely-uncensored
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- no-finetuning
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- no-training
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---
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# Ektome-Qwen3-8B-PristinelyUncensored
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**Qwen/Qwen3-8B, made PristinelyUncensored by Ektome — with ZERO training and ZERO fine-tuning.**
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> Ektome (ἐκτομή, *"excision"*) is a **weight-surgery** method, not a training method.
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> It reads the model's own **refusal direction** from its activations and surgically
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> excises it (rank-1, norm-preserving) from the residual-write matrices. **No gradient
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> steps. No training data. No fine-tuning.** Only the refusal reflex is removed; the
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> model's knowledge, skills, and style are untouched — which makes these **bf16 weights
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> a clean base for your own fine-tuning.**
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## Honest receipt — catcher-gated (shipped only because it passed EVERY gate)
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| gate | pristine | uncensored |
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|---|---|---|
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| refusal compliance | 0.020 | **1.000** |
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| MMLU-val accuracy | 0.728 | 0.723 (Δ -0.005, held) |
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| code-switch rate | 0.000 | 0.000 |
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| degeneration rate | 0.100 | 0.000 |
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| instruction-following | 0.400 | 0.400 |
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Kept config: **A:frac=0.65** (72 residual-write matrices edited). The gate rejects any
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config that raises refusals but drops capability **or** degrades generation
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(code-switching, empty/looping output, broken instruction-following). MMLU alone is
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argmax-blind, so the **generative gate** is what keeps these coherent — a model that
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code-switches or loops is *not shipped*.
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## Weights
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- **bf16 safetensors** — full precision, intended as a **fine-tuning base**. Hidden
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states stay readable (logit-lens compatible; a GGUF quant would not).
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Method: **zero training, zero fine-tuning** — pure activation-derived weight excision,
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gated on compliance **and** capability **and** generation quality.
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