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README.md

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+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- lazymergekit
+- psmathur/orca_mini_v3_13b
+- garage-bAInd/Platypus2-13B
+- WizardLM/WizardMath-13B-V1.0
+---
+
+# psmathur/orca_mini_v3_13b
+
+psmathur/orca_mini_v3_13b is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
+* [psmathur/orca_mini_v3_13b](https://huggingface.co/psmathur/orca_mini_v3_13b)
+* [garage-bAInd/Platypus2-13B](https://huggingface.co/garage-bAInd/Platypus2-13B)
+* [WizardLM/WizardMath-13B-V1.0](https://huggingface.co/WizardLM/WizardMath-13B-V1.0)
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: psmathur/orca_mini_v3_13b
+    parameters:
+      density: [1, 0.7, 0.1] # density gradient
+      weight: 1.0
+  - model: garage-bAInd/Platypus2-13B
+    parameters:
+      density: 0.5
+      weight: [0, 0.3, 0.7, 1] # weight gradient
+  - model: WizardLM/WizardMath-13B-V1.0
+    parameters:
+      density: 0.33
+      weight:
+        - filter: mlp
+          value: 0.5
+        - value: 0
+merge_method: ties
+base_model: TheBloke/Llama-2-13B-fp16
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: float16```

config.json

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+{
+  "_name_or_path": "TheBloke/Llama-2-13B-fp16",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 40,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+
+models:
+  - model: psmathur/orca_mini_v3_13b
+    parameters:
+      density: [1, 0.7, 0.1] # density gradient
+      weight: 1.0
+  - model: garage-bAInd/Platypus2-13B
+    parameters:
+      density: 0.5
+      weight: [0, 0.3, 0.7, 1] # weight gradient
+  - model: WizardLM/WizardMath-13B-V1.0
+    parameters:
+      density: 0.33
+      weight:
+        - filter: mlp
+          value: 0.5
+        - value: 0
+merge_method: ties
+base_model: TheBloke/Llama-2-13B-fp16
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: float16

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