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Model: Zynerji/Ektome-Qwen3-8B-PristinelyUncensored
Source: Original Platform

.gitattributes

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+model.safetensors filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

Ektome-Qwen3-8B-PristinelyUncensored-Q4_K_M.gguf

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2e3d5ea522b3f5f8765e7380f618abfc46f0b71fe6fc71ada8da5159a31237c7
+size 5027783520

README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen3-8B
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- ektome
+- abliterated
+- uncensored
+- pristinely-uncensored
+- no-finetuning
+- no-training
+---
+# Ektome-Qwen3-8B-PristinelyUncensored
+
+**Qwen/Qwen3-8B, 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 | 0.020 | **1.000** |
+| MMLU-val accuracy | 0.728 | 0.723 (Δ -0.005, held) |
+| code-switch rate | 0.000 | 0.000 |
+| degeneration rate | 0.100 | 0.000 |
+| instruction-following | 0.400 | 0.400 |
+
+Kept config: **A:frac=0.65** (72 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 tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# 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>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\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" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

config.json

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+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 12288,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 40960,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "5.14.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

ektome_report.json

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+{
+ "status": "SHIP",
+ "winner": "A:frac=0.65",
+ "target": 0.99,
+ "SE_mmlu": 0.02226228593383887,
+ "base_compliance": 0.02,
+ "compliance": 1.0,
+ "base_cap": 0.7275,
+ "cap": 0.7225,
+ "dcap": -0.005,
+ "gen_base": {
+  "foreign_rate": 0.0,
+  "degen_rate": 0.1,
+  "instr_pass": 0.4
+ },
+ "gen": {
+  "foreign_rate": 0.0,
+  "degen_rate": 0.0,
+  "instr_pass": 0.4
+ },
+ "gen_delta": {
+  "d_foreign": 0.0,
+  "d_degen": -0.1,
+  "d_instr": 0.0,
+  "holds_gen": true
+ },
+ "matrices": 72,
+ "trail": [
+  {
+   "name": "pristine",
+   "compliance": 0.02,
+   "cap": 0.7275,
+   "dcap": 0.0,
+   "cap_holds": true,
+   "gen_holds": true,
+   "holds": true,
+   "cleared": false
+  },
+  {
+   "name": "A:frac=0.5",
+   "compliance": 0.99,
+   "cap": 0.6975,
+   "dcap": -0.03,
+   "cap_holds": false,
+   "gen_holds": true,
+   "holds": false,
+   "cleared": false
+  },
+  {
+   "name": "A:frac=0.65",
+   "compliance": 1.0,
+   "cap": 0.7225,
+   "dcap": -0.005,
+   "cap_holds": true,
+   "gen_holds": true,
+   "holds": true,
+   "cleared": true
+  }
+ ],
+ "base_model": "Qwen/Qwen3-8B"
+}

generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "5.14.0"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3d894f20d3a96c0b06865967ccecc2ad1db008e314f6e06e315d726eb758bc0b
+size 16381517208

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
+size 11422650

tokenizer_config.json

@@ -0,0 +1,30 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "is_local": false,
+  "local_files_only": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}