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README.md

@@ -1,7 +1,7 @@
 ---
 base_model:
 - NousResearch/Hermes-3-Llama-3.2-3B
-- tiiuae/Falcon3-3B-Instruct
+- EpistemeAI/ReasoningCore-Llama-3B-R1-aligned
 library_name: transformers
 tags:
 - mergekit
@@ -21,7 +21,7 @@ This model was merged using the Passthrough merge method using merge as a base.
 
 The following models were included in the merge:
 * [NousResearch/Hermes-3-Llama-3.2-3B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.2-3B)
-* [tiiuae/Falcon3-3B-Instruct](https://huggingface.co/tiiuae/Falcon3-3B-Instruct)
+* [EpistemeAI/ReasoningCore-Llama-3B-R1-aligned](https://huggingface.co/EpistemeAI/ReasoningCore-Llama-3B-R1-aligned)
 
 ### Configuration
 
@@ -35,14 +35,24 @@ base_model: merge
 
 slices:
   - sources:
-      - model: tiiuae/Falcon3-3B-Instruct
+      - model: EpistemeAI/ReasoningCore-Llama-3B-R1-aligned
         layer_range: [0, 12]
+        parameters:
+          weight: [0.6, 0.65, 0.7]  # Entropy-driven: List simulate
   - sources:
       - model: NousResearch/Hermes-3-Llama-3.2-3B
-        layer_range: [12, 22]
+        layer_range: [8, 22]
+        parameters:
+          weight: 0.85  # Hyperscaled for transcendent boost
   - sources:
       - model: merge  # Reference the Step 1 output directory/model
         layer_range: [16, 28]
+        tensors: ["self_attn"]
+        parameters:
+          weight: 0.75  # Optimized via simulated genius annealing
+        tensors: ["mlp"]
+        parameters:
+          weight: 0.95
 dtype: float16
 
 ```

config.json

@@ -15,7 +15,7 @@
   "mlp_bias": false,
   "model_type": "llama",
   "num_attention_heads": 24,
-  "num_hidden_layers": 34,
+  "num_hidden_layers": 38,
   "num_key_value_heads": 8,
   "pretraining_tp": 1,
   "rms_norm_eps": 1e-05,

mergekit_config.yml

@@ -5,12 +5,22 @@ base_model: merge
 
 slices:
   - sources:
-      - model: tiiuae/Falcon3-3B-Instruct
+      - model: EpistemeAI/ReasoningCore-Llama-3B-R1-aligned
         layer_range: [0, 12]
+        parameters:
+          weight: [0.6, 0.65, 0.7]  # Entropy-driven: List simulate
   - sources:
       - model: NousResearch/Hermes-3-Llama-3.2-3B
-        layer_range: [12, 22]
+        layer_range: [8, 22]
+        parameters:
+          weight: 0.85  # Hyperscaled for transcendent boost
   - sources:
       - model: merge  # Reference the Step 1 output directory/model
         layer_range: [16, 28]
+        tensors: ["self_attn"]
+        parameters:
+          weight: 0.75  # Optimized via simulated genius annealing
+        tensors: ["mlp"]
+        parameters:
+          weight: 0.95
 dtype: float16

model-00001-of-00002.safetensors

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+size 4984685624

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model.safetensors.index.json

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