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Model: NovaCorp/Imp-RPG.System-1B
Source: Original Platform

.gitattributes

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README.md

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+---
+base_model:
+- NovaCorp/Ultimate-RPG.System-3.2-1B
+- sillykiwi/Nano_Imp_1B-heretic
+library_name: transformers
+tags:
+- mergekit
+- merge
+- not-for-all-audiences
+license: llama3.2
+language:
+- en
+- es
+---
+# Imp RPG System 1B
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## 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:
+* [NovaCorp/Ultimate-RPG.System-3.2-1B](https://huggingface.co/NovaCorp/Ultimate-RPG.System-3.2-1B)
+* [sillykiwi/Nano_Imp_1B-heretic](https://huggingface.co/sillykiwi/Nano_Imp_1B-heretic)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+
+# Author: Dr. Novaciano
+# Objective: Llama 3.2 1B AI Model
+# =========================================================
+# PROJECT: Llama 3.2 1B
+# =========================================================
+
+models:
+  - model: sillykiwi/Nano_Imp_1B-heretic  # Experimental viral strain neural imprint
+  - model: NovaCorp/Ultimate-RPG.System-3.2-1B  # Baseline cognitive template, "safe mode"
+
+merge_method: slerp  # Spherical Linear Interpolation to preserve extreme viral traits smoothly
+base_model: NovaCorp/Ultimate-RPG.System-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,
+    128008,
+    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,
+  "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"
+  },
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.4",
+  "use_cache": true,
+  "vocab_size": 128256
+}

mergekit_config.yml

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+
+
+# Author: Dr. Novaciano
+# Objective: Llama 3.2 1B AI Model
+# =========================================================
+# PROJECT: Llama 3.2 1B
+# =========================================================
+
+models:
+  - model: sillykiwi/Nano_Imp_1B-heretic  # Experimental viral strain neural imprint
+  - model: NovaCorp/Ultimate-RPG.System-3.2-1B  # Baseline cognitive template, "safe mode"
+
+merge_method: slerp  # Spherical Linear Interpolation to preserve extreme viral traits smoothly
+base_model: NovaCorp/Ultimate-RPG.System-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

model.safetensors

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+oid sha256:dd2765345d9bd58630d2332d7c1f055848c3aa7692c50919eeb1d5f7463a126b
+size 2996982344

tokenizer_config.json

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+{
+  "backend": "tokenizers",
+  "bos_token": "<|begin_of_text|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|eot_id|>",
+  "is_local": false,
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 131072,
+  "tokenizer_class": "TokenizersBackend"
+}