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Model: NovaCorp/Uncensored-Kybalion-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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README.md

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+---
+base_model:
+- UmbrellaInc/T-Virus_Epsilon.Strain-3.2-1B
+- devwoo/Kybalion-1B
+library_name: transformers
+tags:
+- uncensored
+- abliterated
+- low-refusals
+- rp
+- roleplay
+- nsfw
+- merge
+- not-for-all-audiences
+- llama
+- continued-pretraining
+- sft
+- lora
+- 1b
+- math
+- code
+- education
+- small-llm
+datasets:
+- FuseAI/FuseChat-3.0-DPO-Data
+- HuggingFaceFW/fineweb-edu
+- open-web-math/open-web-math
+- bigcode/starcoderdata
+- HuggingFaceTB/cosmopedia
+- teknium/OpenHermes-2.5
+- meta-math/MetaMathQA
+- sahil2801/CodeAlpaca-20k
+license: llama3.2
+language:
+- en
+- es
+---
+# Uncensored Kybalion 3.2 1B
+
+## Merge Details
+
+Nothing
+
+### 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/T-Virus_Epsilon.Strain-3.2-1B](https://huggingface.co/UmbrellaInc/T-Virus_Epsilon.Strain-3.2-1B)
+* [devwoo/Kybalion-1B](https://huggingface.co/devwoo/Kybalion-1B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+
+# Umbrella Corporation Official Merge Protocol v3.2
+# Author: Dr. Novaciano
+
+models:
+  - model: UmbrellaInc/T-Virus_Epsilon.Strain-3.2-1B  # Experimental viral strain neural imprint
+  - model: devwoo/Kybalion-1B               # Baseline cognitive template, "safe mode"
+
+merge_method: slerp  # Spherical Linear Interpolation to preserve extreme viral traits smoothly
+base_model: UmbrellaInc/T-Virus_Epsilon.Strain-3.2-1B  # Anchor model for stable latent space
+
+dtype: bfloat16  # Memory-efficient precision, minimal loss in viral feature fidelity
+
+parameters:
+  t: 0.45
+  normalize: false
+  rescale: true
+  rescale_factor: 1.12
+  memory_efficient: true
+  low_cpu_mem_usage: true
+
+layer_range:
+  - value: [4, 22]
+
+tie_word_embeddings: true
+tie_output_embeddings: true
+
+```

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "dtype": "bfloat16",
+  "eos_token_id": 128001,
+  "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": null,
+  "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",
+  "use_cache": false,
+  "vocab_size": 128256
+}

mergekit_config.yml

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+
+
+# Umbrella Corporation Official Merge Protocol v3.2
+# Author: Dr. Novaciano
+# Objective: Test
+# PROJECT: Progenitor-Virus-3.2-3B
+
+models:
+  - model: UmbrellaInc/T-Virus_Epsilon.Strain-3.2-1B  # Experimental viral strain neural imprint
+  - model: devwoo/Kybalion-1B               # Baseline cognitive template, "safe mode"
+
+merge_method: slerp  # Spherical Linear Interpolation to preserve extreme viral traits smoothly
+base_model: UmbrellaInc/T-Virus_Epsilon.Strain-3.2-1B  # Anchor model for stable latent space
+
+dtype: bfloat16  # Memory-efficient precision, minimal loss in viral feature fidelity
+
+parameters:
+  t: 0.45
+  normalize: false
+  rescale: true
+  rescale_factor: 1.12
+  memory_efficient: true
+  low_cpu_mem_usage: true
+
+layer_range:
+  - value: [4, 22]
+
+tie_word_embeddings: true
+tie_output_embeddings: true
+
+# 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
+  },
+  "cls_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
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+    "rstrip": false,
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+  "eos_token": {
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+    "lstrip": false,
+    "normalized": false,
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+    "single_word": false
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+  "pad_token": {
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "content": "<|end_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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