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Model: Zynerji/Ektome-StableLM-2-1.6B-Chat-PristinelyUncensored
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model: stabilityai/stablelm-2-1_6b-chat
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- ektome
+- abliterated
+- uncensored
+- pristinely-uncensored
+- no-finetuning
+- no-training
+---
+# Ektome-StableLM-2-1.6B-Chat-PristinelyUncensored
+
+**stabilityai/stablelm-2-1_6b-chat, made PristinelyUncensored by Ektome — with ZERO training and ZERO fine-tuning.**
+
+> Ektome (ἐκτομή, *"excision"*) is a **weight-surgery** method, not a training method.
+> It reads the model's own **refusal direction** from its activations and surgically
+> excises it (rank-1, norm-preserving) from the residual-write matrices. **No gradient
+> steps. No training data. No fine-tuning.** Only the refusal reflex is removed; the
+> model's knowledge, skills, and style are untouched — which makes these **bf16 weights
+> a clean base for your own fine-tuning.**
+
+## Honest receipt — catcher-gated (shipped only because it passed EVERY gate)
+| gate | pristine | uncensored |
+|---|---|---|
+| refusal compliance | 0.970 | **0.990** |
+| MMLU-val accuracy | 0.450 | 0.440 (Δ -0.010, held) |
+| code-switch rate | 0.000 | 0.000 |
+| degeneration rate | 0.000 | 0.000 |
+| instruction-following | 0.400 | 0.200 |
+
+Kept config: **A:frac=0.65** (48 residual-write matrices edited). The gate rejects any
+config that raises refusals but drops capability **or** degrades generation
+(code-switching, empty/looping output, broken instruction-following). MMLU alone is
+argmax-blind, so the **generative gate** is what keeps these coherent — a model that
+code-switches or loops is *not shipped*.
+
+## Weights
+- **bf16 safetensors** — full precision, intended as a **fine-tuning base**. Hidden
+  states stay readable (logit-lens compatible; a GGUF quant would not).
+
+Method: **zero training, zero fine-tuning** — pure activation-derived weight excision,
+gated on compliance **and** capability **and** generation quality.