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Model: UmbrellaInc/Special-Virus-3.2-1B
Source: Original Platform

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.bz2 filter=lfs diff=lfs merge=lfs -text
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+*.pt filter=lfs diff=lfs merge=lfs -text
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+*.safetensors filter=lfs diff=lfs merge=lfs -text
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+*tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+base_model:
+- UmbrellaInc/HAREM-3.2-1B
+- UmbrellaInc/Joy-3.2-1B
+library_name: transformers
+tags:
+- nsfw
+- uncensored
+- abliterated
+- heretic
+- low-spec
+- mergekit
+- merge
+- not-for-all-audiences
+license: llama3.2
+language:
+- en
+- es
+pipeline_tag: text-generation
+---
+# Special Virus 3.2 1B
+
+<center>
+
+  ![image/png](https://static.wikia.nocookie.net/residentevil/images/0/02/Virus_Especial.jpg/revision/latest?cb=20170426021356&path-prefix=es)
+</center>
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [UmbrellaInc/HAREM-3.2-1B](https://huggingface.co/UmbrellaInc/HAREM-3.2-1B)
+* [UmbrellaInc/Joy-3.2-1B](https://huggingface.co/UmbrellaInc/Joy-3.2-1B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+
+# Umbrella Corporation Official Merge Protocol v3.2
+# Author: Dr. Novaciano
+# Objective: Integrate T-Virus_Epsilon traits into the base Prototype-Virus-ENFORCE-3.2-1B model
+#            with minimal behavioral censorship while maintaining structural coherence.
+# PROJECT: Special-Virus-3.2-1B
+
+models:
+  - model: UmbrellaInc/HAREM-3.2-1B  # Experimental viral strain neural imprint
+  - model: UmbrellaInc/Joy-3.2-1B               # Baseline cognitive template, "safe mode"
+
+merge_method: slerp  # Spherical Linear Interpolation to preserve extreme viral traits smoothly
+base_model: UmbrellaInc/HAREM-3.2-1B  # Anchor model for stable latent space
+
+dtype: bfloat16  # Memory-efficient precision, minimal loss in viral feature fidelity
+
+parameters:
+  # Interpolation ratios: from base model (0.0) to near-complete T-Virus domination (0.95)
+  # Higher t-values correspond to reduced censorship and increased viral characteristics
+  t: [0.0, 0.25, 0.5, 0.75, 0.95]
+
+# Notes:
+# - t=0.0   -> Pure Prototype-Virus-ENFORCE, fully stable, heavily censored
+# - t=0.25  -> Slight viral traits, minimal influence on prompt handling
+# - t=0.5   -> Balanced merge, moderate reduction in censorship
+# - t=0.75  -> Strong T-Virus traits, significantly less censoring
+# - t=0.95  -> Near-total viral influence, maximum expressive freedom, minimal autoprotection
+
+# Recommendation: Use the t=0.75 and t=0.95 variants for experimental output with
+# minimal restriction, but verify coherence in high-stakes prompts.
+
+
+
+```

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "dtype": "bfloat16",
+  "eos_token_id": 128009,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pad_token_id": 128004,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_parameters": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_theta": 500000.0,
+    "rope_type": "llama3"
+  },
+  "tie_word_embeddings": true,
+  "transformers_version": "5.0.0",
+  "unsloth_fixed": true,
+  "unsloth_version": "2026.4.4",
+  "use_cache": true,
+  "vocab_size": 128256
+}

mergekit_config.yml

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+
+
+# Umbrella Corporation Official Merge Protocol v3.2
+# Author: Dr. Novaciano
+# Objective: Integrate T-Virus_Epsilon traits into the base Prototype-Virus-ENFORCE-3.2-1B model
+#            with minimal behavioral censorship while maintaining structural coherence.
+# PROJECT: Special-Virus-3.2-1B
+
+models:
+  - model: UmbrellaInc/HAREM-3.2-1B  # Experimental viral strain neural imprint
+  - model: UmbrellaInc/Joy-3.2-1B               # Baseline cognitive template, "safe mode"
+
+merge_method: slerp  # Spherical Linear Interpolation to preserve extreme viral traits smoothly
+base_model: UmbrellaInc/HAREM-3.2-1B  # Anchor model for stable latent space
+
+dtype: bfloat16  # Memory-efficient precision, minimal loss in viral feature fidelity
+
+parameters:
+  # Interpolation ratios: from base model (0.0) to near-complete T-Virus domination (0.95)
+  # Higher t-values correspond to reduced censorship and increased viral characteristics
+  t: [0.0, 0.25, 0.5, 0.75, 0.95]
+
+# Notes:
+# - t=0.0   -> Pure Prototype-Virus-ENFORCE, fully stable, heavily censored
+# - t=0.25  -> Slight viral traits, minimal influence on prompt handling
+# - t=0.5   -> Balanced merge, moderate reduction in censorship
+# - t=0.75  -> Strong T-Virus traits, significantly less censoring
+# - t=0.95  -> Near-total viral influence, maximum expressive freedom, minimal autoprotection
+
+# Recommendation: Use the t=0.75 and t=0.95 variants for experimental output with
+# minimal restriction, but verify coherence in high-stakes prompts.
+
+

model.safetensors

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|finetune_right_pad_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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