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README.md

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+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- vortexmergekit
+- mlabonne/NeuralBeagle14-7B
+- eldogbbhed/NeuralPearlBeagle
+---
+
+# Peagle-14b
+
+Hey there! 👋 Welcome to the Peagle-14b! This is a merge of multiple models brought together using the awesome [VortexMerge kit](https://colab.research.google.com/drive/1YjcvCLuNG1PK7Le6_4xhVU5VpzTwvGhk#scrollTo=UG5H2TK4gVyl).
+
+Let's see what we've got in this merge:
+* [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B) 🚀
+* [eldogbbhed/NeuralPearlBeagle](https://huggingface.co/eldogbbhed/NeuralPearlBeagle) 🚀
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: mlabonne/NeuralBeagle14-7B
+        layer_range: [0, 20]
+  - sources:
+      - model: eldogbbhed/NeuralPearlBeagle
+        layer_range: [12, 32]
+merge_method: passthrough 

config.json

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+{
+  "_name_or_path": "eldogbbhed/NeuralPearlBeagle",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.39.0.dev0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+
+slices:
+  - sources:
+      - model: mlabonne/NeuralBeagle14-7B
+        layer_range: [0, 20]
+  - sources:
+      - model: eldogbbhed/NeuralPearlBeagle
+        layer_range: [12, 32]
+merge_method: passthrough 

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