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README.md

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+---
+base_model:
+- TheHierophant/Underground-Cognitive-V0.3-test
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# merge
+
+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 passthrough merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [TheHierophant/Underground-Cognitive-V0.3-test](https://huggingface.co/TheHierophant/Underground-Cognitive-V0.3-test)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+      - model: TheHierophant/Underground-Cognitive-V0.3-test
+        layer_range: [0, 8]
+        parameters:
+          attention:
+            - filter: q_proj
+              value: 1.15
+            - filter: k_proj
+              value: 1.1
+            - filter: v_proj
+              value: 1.2
+            - filter: down_proj
+              value: 1.1
+          significance: 0.85  # Añadir relevancia para reforzar cálculos precisos en las primeras capas
+          weight: 0.3  # Peso para garantizar que las capas iniciales manejen la información con precisión
+          rope_scaling:
+            type: "linear"
+            value: 0.7  # Ajuste para mejorar la capacidad posicional
+  - sources:
+      - model: TheHierophant/Underground-Cognitive-V0.3-test
+        layer_range: [8, 16]
+        parameters:
+          attention:
+            - filter: q_proj
+              value: 1.25
+            - filter: k_proj
+              value: 1.15
+            - filter: v_proj
+              value: 1.3
+            - filter: down_proj
+              value: 1.2
+          weight: 0.35
+          significance: 0.9  # Aumentar el enfoque en la lógica matemática básica para diferenciar iteración y recursión
+          rope_scaling:
+            type: "linear"
+            value: 0.85  # Factor dinámico para asegurar flexibilidad y ajuste automático en cálculos
+  - sources:
+      - model: TheHierophant/Underground-Cognitive-V0.3-test
+        layer_range: [16, 32]
+        parameters:
+          attention:
+            - filter: o_proj
+              value: 1.5
+            - filter: q_proj
+              value: 1.4
+            - filter: v_proj
+              value: 1.35
+            - filter: down_proj
+              value: 1.3
+          weight: 0.4  # Más peso a capas medias para reforzar razonamiento intermedio
+          significance: 0.85  # Focalización para la transferencia de atención a capas superiores
+  - sources:
+      - model: TheHierophant/Underground-Cognitive-V0.3-test
+        layer_range: [32, 48]
+        parameters:
+          attention:
+            - filter: o_proj
+              value: 2.0
+            - filter: q_proj
+              value: 1.8
+            - filter: v_proj
+              value: 1.7
+            - filter: down_proj
+              value: 1.65
+          weight: 0.5  # Incremento de peso para fortalecer las capas profundas y el análisis complejo
+          significance: 0.95  # Enfoque en mejorar la lógica no lineal y reforzar la atención en problemas complejos
+base_model_config:
+  attention_bias: false
+  attention_dropout: 0.05  # Añadir dropout para prevenir sobreajuste en cálculos repetitivos
+  hidden_act: "silu"  # Mantener la función silu para una activación suave y continua
+  hidden_size: 4096
+  initializer_range: 0.02
+  intermediate_size: 14336
+  max_position_embeddings: 4096
+  num_attention_heads: 32
+  num_hidden_layers: 48
+  num_key_value_heads: 8
+  pretraining_tp: 1
+  rms_norm_eps: 1e-05
+  rope_scaling:
+    type: "linear"  # Ajuste basado en el tipo linear para optimizar la capacidad adaptativa
+    value: 1.1  # Factor ajustado para mantener un escalamiento eficiente
+  rope_theta: 12000.0  # Ajustado para mejorar la capacidad posicional en tareas matemáticas
+  tie_word_embeddings: false
+  vocab_size: 32000
+  use_cache: true  # Habilitar cache para mejorar eficiencia durante la inferencia
+  dtype: bfloat16
+merge_method: passthrough
+```

config.json

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+{
+  "_name_or_path": "TheHierophant/Underground-Cognitive-V0.3-test",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.2",
+  "use_cache": false,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+slices:
+  - sources:
+      - model: TheHierophant/Underground-Cognitive-V0.3-test
+        layer_range: [0, 8]
+        parameters:
+          attention:
+            - filter: q_proj
+              value: 1.15
+            - filter: k_proj
+              value: 1.1
+            - filter: v_proj
+              value: 1.2
+            - filter: down_proj
+              value: 1.1
+          significance: 0.85  # Añadir relevancia para reforzar cálculos precisos en las primeras capas
+          weight: 0.3  # Peso para garantizar que las capas iniciales manejen la información con precisión
+          rope_scaling:
+            type: "linear"
+            value: 0.7  # Ajuste para mejorar la capacidad posicional
+  - sources:
+      - model: TheHierophant/Underground-Cognitive-V0.3-test
+        layer_range: [8, 16]
+        parameters:
+          attention:
+            - filter: q_proj
+              value: 1.25
+            - filter: k_proj
+              value: 1.15
+            - filter: v_proj
+              value: 1.3
+            - filter: down_proj
+              value: 1.2
+          weight: 0.35
+          significance: 0.9  # Aumentar el enfoque en la lógica matemática básica para diferenciar iteración y recursión
+          rope_scaling:
+            type: "linear"
+            value: 0.85  # Factor dinámico para asegurar flexibilidad y ajuste automático en cálculos
+  - sources:
+      - model: TheHierophant/Underground-Cognitive-V0.3-test
+        layer_range: [16, 32]
+        parameters:
+          attention:
+            - filter: o_proj
+              value: 1.5
+            - filter: q_proj
+              value: 1.4
+            - filter: v_proj
+              value: 1.35
+            - filter: down_proj
+              value: 1.3
+          weight: 0.4  # Más peso a capas medias para reforzar razonamiento intermedio
+          significance: 0.85  # Focalización para la transferencia de atención a capas superiores
+  - sources:
+      - model: TheHierophant/Underground-Cognitive-V0.3-test
+        layer_range: [32, 48]
+        parameters:
+          attention:
+            - filter: o_proj
+              value: 2.0
+            - filter: q_proj
+              value: 1.8
+            - filter: v_proj
+              value: 1.7
+            - filter: down_proj
+              value: 1.65
+          weight: 0.5  # Incremento de peso para fortalecer las capas profundas y el análisis complejo
+          significance: 0.95  # Enfoque en mejorar la lógica no lineal y reforzar la atención en problemas complejos
+base_model_config:
+  attention_bias: false
+  attention_dropout: 0.05  # Añadir dropout para prevenir sobreajuste en cálculos repetitivos
+  hidden_act: "silu"  # Mantener la función silu para una activación suave y continua
+  hidden_size: 4096
+  initializer_range: 0.02
+  intermediate_size: 14336
+  max_position_embeddings: 4096
+  num_attention_heads: 32
+  num_hidden_layers: 48
+  num_key_value_heads: 8
+  pretraining_tp: 1
+  rms_norm_eps: 1e-05
+  rope_scaling:
+    type: "linear"  # Ajuste basado en el tipo linear para optimizar la capacidad adaptativa
+    value: 1.1  # Factor ajustado para mantener un escalamiento eficiente
+  rope_theta: 12000.0  # Ajustado para mejorar la capacidad posicional en tareas matemáticas
+  tie_word_embeddings: false
+  vocab_size: 32000
+  use_cache: true  # Habilitar cache para mejorar eficiencia durante la inferencia
+  dtype: bfloat16
+merge_method: passthrough

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