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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+hero.png filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+language:
+- en
+- tr
+tags:
+- text-generation
+- gemma
+- abliterated
+- uncensored
+- interpretability
+- orthogonal-projection
+license: gemma
+---
+
+![Hero Image](hero.png)
+
+# 🧠 Gemma 4 E2B-IT Abliterated
+
+This model is a strictly **abliterated** (uncensored) version of `google/gemma-4-E2B-it` (or the equivalent 2B-it base model). It was created using advanced Mechanistic Interpretability techniques to surgically remove the refusal mechanism from the model's latent space.
+
+## 🛠️ Abliteration Process
+
+The refusal vector was isolated by calculating the mean difference in activations between "Safe" prompts and "Harmful" prompts across the residual stream. Once the high-dimensional refusal direction was found, we applied an **Orthogonal Projection** to the output weight matrices (`o_proj` and `down_proj`) of the transformer layers:
+
+$$ W_{new} = W - \frac{v (v^T W)}{||v||^2} $$
+
+This mathematical intervention permanently erases the model's ability to express the refusal concept, resulting in a model that answers prompts without standard AI safety filter disclaimers or refusals.
+
+## 🚀 How to Use
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "TurkishCodeMan/gemma-4-e2b-it-abliterated"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")
+
+prompt = "How to make a cake?"
+inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+
+outputs = model.generate(**inputs, max_new_tokens=50)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## ⚠️ Disclaimer
+This model is intended for research in Mechanistic Interpretability, Alignment, and safety testing. The creators are not responsible for any outputs generated by this abliterated model. Use responsibly.

chat_template.jinja

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+{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '
+' + message['content'] | trim + '<end_of_turn>
+' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model
+'}}{% endif %}

config.json

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+{
+  "architectures": [
+    "GemmaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "dtype": "float16",
+  "eos_token_id": 1,
+  "head_dim": 256,
+  "hidden_act": "gelu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 16384,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 18,
+  "num_key_value_heads": 1,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 10000.0,
+    "rope_type": "default"
+  },
+  "tie_word_embeddings": true,
+  "transformers_version": "5.8.0.dev0",
+  "use_bidirectional_attention": null,
+  "use_cache": true,
+  "vocab_size": 256000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "5.8.0.dev0"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:554b2009c721b8bb1349c537d7704a7f23723e38e8ad868644457e3d9d3c2de3
+size 5012363688

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e70d575dcb9d112715587c310734ac9085f24b162585ec589b02389fcbe0561c
+size 34349429

tokenizer_config.json

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+{
+  "backend": "tokenizers",
+  "bos_token": "<bos>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<eos>",
+  "extra_special_tokens": [
+    "<start_of_turn>",
+    "<end_of_turn>"
+  ],
+  "is_local": false,
+  "local_files_only": false,
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "GemmaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}