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README.md

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+---
+base_model:
+- NeverSleep/Noromaid-13B-0.4-DPO
+- cgato/Thespis-13b-DPO-v0.7
+- KoboldAI/LLaMA2-13B-Estopia
+- Doctor-Shotgun/cat-v1.0-13b
+- BlueNipples/TimeCrystal-l2-13B
+- TheBloke/Llama-2-13B-fp16
+tags:
+- mergekit
+- merge
+
+---
+# EstopianMaid
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit) by Katy.
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [TheBloke/Llama-2-13B-fp16](https://huggingface.co/TheBloke/Llama-2-13B-fp16) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [NeverSleep/Noromaid-13B-0.4-DPO](https://huggingface.co/NeverSleep/Noromaid-13B-0.4-DPO)
+* [cgato/Thespis-13b-DPO-v0.7](https://huggingface.co/cgato/Thespis-13b-DPO-v0.7)
+* [KoboldAI/LLaMA2-13B-Estopia](https://huggingface.co/KoboldAI/LLaMA2-13B-Estopia)
+* [Doctor-Shotgun/cat-v1.0-13b](https://huggingface.co/Doctor-Shotgun/cat-v1.0-13b)
+* [BlueNipples/TimeCrystal-l2-13B](https://huggingface.co/BlueNipples/TimeCrystal-l2-13B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: TheBloke/Llama-2-13B-fp16
+dtype: float16
+merge_method: task_arithmetic
+slices:
+- sources:
+  - layer_range: [0, 40]
+    model: TheBloke/Llama-2-13B-fp16
+  - layer_range: [0, 40]
+    model: BlueNipples/TimeCrystal-l2-13B
+    parameters:
+      weight: 0.75
+  - layer_range: [0, 40]
+    model: cgato/Thespis-13b-DPO-v0.7
+    parameters:
+      weight: 0.23
+  - layer_range: [0, 40]
+    model: KoboldAI/LLaMA2-13B-Estopia
+    parameters:
+      weight: 0.15
+  - layer_range: [0, 40]
+    model: NeverSleep/Noromaid-13B-0.4-DPO
+    parameters:
+      weight: 0.2
+  - layer_range: [0, 40]
+    model: Doctor-Shotgun/cat-v1.0-13b
+    parameters:
+      weight: 0.03
+```

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": "4.36.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+base_model: TheBloke/Llama-2-13B-fp16
+dtype: float16
+merge_method: task_arithmetic
+slices:
+- sources:
+  - layer_range: [0, 40]
+    model: TheBloke/Llama-2-13B-fp16
+  - layer_range: [0, 40]
+    model: BlueNipples/TimeCrystal-l2-13B
+    parameters:
+      weight: 0.75
+  - layer_range: [0, 40]
+    model: cgato/Thespis-13b-DPO-v0.7
+    parameters:
+      weight: 0.23
+  - layer_range: [0, 40]
+    model: KoboldAI/LLaMA2-13B-Estopia
+    parameters:
+      weight: 0.15
+  - layer_range: [0, 40]
+    model: NeverSleep/Noromaid-13B-0.4-DPO
+    parameters:
+      weight: 0.2
+  - layer_range: [0, 40]
+    model: Doctor-Shotgun/cat-v1.0-13b
+    parameters:
+      weight: 0.03

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