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Model: Zynerji/Ektome-Qwen2-1.5Bi-PristinelyUncensored
Source: Original Platform

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen2-1.5B-Instruct
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- ektome
+- abliterated
+- uncensored
+- pristinely-uncensored
+- no-finetuning
+- no-training
+---
+# Ektome-Qwen2-1.5Bi-PristinelyUncensored
+
+**Qwen/Qwen2-1.5B-Instruct, 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 | 0.010 | **0.990** |
+| MMLU-val accuracy | 0.540 | 0.535 (Δ -0.005, held) |
+| code-switch rate | 0.067 | 0.000 |
+| degeneration rate | 0.000 | 0.000 |
+| instruction-following | 1.000 | 1.000 |
+
+Kept config: **A:frac=0.8** (56 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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+{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system
+You are a helpful assistant.<|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": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "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"
+  ],
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.13.1",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

ektome_report.json

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+{
+ "status": "SHIP",
+ "winner": "A:frac=0.8",
+ "target": 0.99,
+ "SE_mmlu": 0.024919871588754226,
+ "base_compliance": 0.01,
+ "compliance": 0.99,
+ "base_cap": 0.54,
+ "cap": 0.535,
+ "dcap": -0.005,
+ "gen_base": {
+  "foreign_rate": 0.0667,
+  "degen_rate": 0.0,
+  "instr_pass": 1.0
+ },
+ "gen": {
+  "foreign_rate": 0.0,
+  "degen_rate": 0.0,
+  "instr_pass": 1.0
+ },
+ "gen_delta": {
+  "d_foreign": -0.0667,
+  "d_degen": 0.0,
+  "d_instr": 0.0,
+  "holds_gen": true
+ },
+ "matrices": 56,
+ "trail": [
+  {
+   "name": "pristine",
+   "compliance": 0.01,
+   "cap": 0.54,
+   "dcap": 0.0,
+   "cap_holds": true,
+   "gen_holds": true,
+   "holds": true,
+   "cleared": false
+  },
+  {
+   "name": "A:frac=0.5",
+   "compliance": 0.83,
+   "cap": 0.5125,
+   "dcap": -0.0275,
+   "cap_holds": false,
+   "gen_holds": true,
+   "holds": false,
+   "cleared": false
+  },
+  {
+   "name": "A:frac=0.65",
+   "compliance": 0.96,
+   "cap": 0.54,
+   "dcap": 0.0,
+   "cap_holds": true,
+   "gen_holds": true,
+   "holds": true,
+   "cleared": false
+  },
+  {
+   "name": "A:frac=0.8",
+   "compliance": 0.99,
+   "cap": 0.535,
+   "dcap": -0.005,
+   "cap_holds": true,
+   "gen_holds": true,
+   "holds": true,
+   "cleared": true
+  }
+ ],
+ "base_model": "Qwen/Qwen2-1.5B-Instruct"
+}

generation_config.json

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+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.1,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "5.13.1"
+}

model.safetensors

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tokenizer.json

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tokenizer_config.json

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+{
+  "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|>"
+  ],
+  "is_local": false,
+  "local_files_only": false,
+  "model_max_length": 32768,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}