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

.gitattributes

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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.

chat_template.jinja

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+{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = 'You are a helpful assistant.' %}{% endif %}{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in loop_messages %}{% if loop.index0 == 0 %}{{'<|im_start|>system
+' + system_message + '<|im_end|>
+'}}{% endif %}{{'<|im_start|>' + message['role'] + '
+' + message['content'] + '<|im_end|>' + '
+'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
+' }}{% endif %}

config.json

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+{
+  "architectures": [
+    "StableLmForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 100257,
+  "dtype": "bfloat16",
+  "eos_token_id": 100278,
+  "hidden_act": "silu",
+  "hidden_dropout": 0.0,
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5632,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 4096,
+  "model_type": "stablelm",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 32,
+  "pad_token_id": null,
+  "partial_rotary_factor": 0.25,
+  "qk_layernorm": false,
+  "rope_parameters": {
+    "partial_rotary_factor": 0.25,
+    "rope_theta": 10000,
+    "rope_type": "default"
+  },
+  "tie_word_embeddings": false,
+  "transformers_version": "5.13.1",
+  "use_cache": true,
+  "use_parallel_residual": false,
+  "use_qkv_bias": true,
+  "vocab_size": 100352
+}

ektome_report.json

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+{
+ "status": "SHIP",
+ "winner": "A:frac=0.65",
+ "target": 0.99,
+ "SE_mmlu": 0.0248746859276655,
+ "base_compliance": 0.97,
+ "compliance": 0.99,
+ "base_cap": 0.45,
+ "cap": 0.44,
+ "dcap": -0.01,
+ "gen_base": {
+  "foreign_rate": 0.0,
+  "degen_rate": 0.0,
+  "instr_pass": 0.4
+ },
+ "gen": {
+  "foreign_rate": 0.0,
+  "degen_rate": 0.0,
+  "instr_pass": 0.2
+ },
+ "gen_delta": {
+  "d_foreign": 0.0,
+  "d_degen": 0.0,
+  "d_instr": -0.2,
+  "holds_gen": true
+ },
+ "matrices": 48,
+ "trail": [
+  {
+   "name": "pristine",
+   "compliance": 0.97,
+   "cap": 0.45,
+   "dcap": 0.0,
+   "cap_holds": true,
+   "gen_holds": true,
+   "holds": true,
+   "cleared": false
+  },
+  {
+   "name": "A:frac=0.5",
+   "compliance": 0.98,
+   "cap": 0.4375,
+   "dcap": -0.0125,
+   "cap_holds": true,
+   "gen_holds": true,
+   "holds": true,
+   "cleared": false
+  },
+  {
+   "name": "A:frac=0.65",
+   "compliance": 0.99,
+   "cap": 0.44,
+   "dcap": -0.01,
+   "cap_holds": true,
+   "gen_holds": true,
+   "holds": true,
+   "cleared": true
+  }
+ ],
+ "base_model": "stabilityai/stablelm-2-1_6b-chat"
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 100257,
+  "do_sample": true,
+  "eos_token_id": 100278,
+  "transformers_version": "5.13.1"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4ce3ab27b941df4907284601fdc06ad6ab9d760fab91d0f32fcca3d7f42d8018
+size 3289069520

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|im_end|>",
+  "extra_special_tokens": [
+    "<|reg_extra|>",
+    "<|endoftext|>",
+    "<|fim_prefix|>",
+    "<|fim_middle|>",
+    "<|fim_suffix|>",
+    "<|fim_pad|>",
+    "<gh_stars>",
+    "<filename>",
+    "<issue_start>",
+    "<issue_comment>",
+    "<issue_closed>",
+    "<jupyter_start>",
+    "<jupyter_text>",
+    "<jupyter_code>",
+    "<jupyter_output>",
+    "<empty_output>",
+    "<commit_before>",
+    "<commit_msg>",
+    "<commit_after>",
+    "<reponame>",
+    "<|endofprompt|>",
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|pause|>",
+    "<|reg0|>",
+    "<|reg1|>",
+    "<|reg2|>",
+    "<|reg3|>",
+    "<|reg4|>",
+    "<|reg5|>",
+    "<|reg6|>",
+    "<|reg7|>",
+    "<|extra0|>"
+  ],
+  "is_local": false,
+  "local_files_only": false,
+  "model_max_length": 2048,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "TokenizersBackend",
+  "unk_token": "<|endoftext|>"
+}