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.ipynb_checkpoints/README-checkpoint.md

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+---
+base_model:
+- teknium/OpenHermes-2.5-Mistral-7B
+- NeverSleep/Noromaid-7B-0.4-DPO
+- mistralai/Mistral-7B-v0.1
+- Open-Orca/Mistral-7B-OpenOrca
+- cognitivecomputations/samantha-1.1-westlake-7b
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# Open_Maid_Samantha_Hermes_Orca_dare_tiesv0.1
+
+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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)
+* [NeverSleep/Noromaid-7B-0.4-DPO](https://huggingface.co/NeverSleep/Noromaid-7B-0.4-DPO)
+* [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca)
+* [cognitivecomputations/samantha-1.1-westlake-7b](https://huggingface.co/cognitivecomputations/samantha-1.1-westlake-7b)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: mistralai/Mistral-7B-v0.1
+    # No parameters necessary for base model
+  - model: cognitivecomputations/samantha-1.1-westlake-7b
+    parameters:
+      density: 0.59
+      weight: 0.15
+  - model: NeverSleep/Noromaid-7B-0.4-DPO
+    parameters:
+      density: 0.59
+      weight: 0.3
+  - model: teknium/OpenHermes-2.5-Mistral-7B
+    parameters:
+      density: 0.49
+      weight: 0.3
+  - model: Open-Orca/Mistral-7B-OpenOrca
+    parameters:
+      density: 0.49
+      weight: 0.25
+merge_method: dare_ties
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  int8_mask: true
+dtype: bfloat16
+
+```

.ipynb_checkpoints/config-checkpoint.json

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+{
+  "_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "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": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

.ipynb_checkpoints/mergekit_config-checkpoint.yml

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+models:
+  - model: mistralai/Mistral-7B-v0.1
+    # No parameters necessary for base model
+  - model: cognitivecomputations/samantha-1.1-westlake-7b
+    parameters:
+      density: 0.59
+      weight: 0.15
+  - model: NeverSleep/Noromaid-7B-0.4-DPO
+    parameters:
+      density: 0.59
+      weight: 0.3
+  - model: teknium/OpenHermes-2.5-Mistral-7B
+    parameters:
+      density: 0.49
+      weight: 0.3
+  - model: Open-Orca/Mistral-7B-OpenOrca
+    parameters:
+      density: 0.49
+      weight: 0.25
+merge_method: dare_ties
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  int8_mask: true
+dtype: bfloat16

README.md

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+---
+base_model:
+- teknium/OpenHermes-2.5-Mistral-7B
+- NeverSleep/Noromaid-7B-0.4-DPO
+- mistralai/Mistral-7B-v0.1
+- Open-Orca/Mistral-7B-OpenOrca
+- cognitivecomputations/samantha-1.1-westlake-7b
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# Open_Maid_Samantha_Hermes_Orca_dare_tiesv0.1
+
+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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)
+* [NeverSleep/Noromaid-7B-0.4-DPO](https://huggingface.co/NeverSleep/Noromaid-7B-0.4-DPO)
+* [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca)
+* [cognitivecomputations/samantha-1.1-westlake-7b](https://huggingface.co/cognitivecomputations/samantha-1.1-westlake-7b)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: mistralai/Mistral-7B-v0.1
+    # No parameters necessary for base model
+  - model: cognitivecomputations/samantha-1.1-westlake-7b
+    parameters:
+      density: 0.59
+      weight: 0.15
+  - model: NeverSleep/Noromaid-7B-0.4-DPO
+    parameters:
+      density: 0.59
+      weight: 0.3
+  - model: teknium/OpenHermes-2.5-Mistral-7B
+    parameters:
+      density: 0.49
+      weight: 0.3
+  - model: Open-Orca/Mistral-7B-OpenOrca
+    parameters:
+      density: 0.49
+      weight: 0.25
+merge_method: dare_ties
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  int8_mask: true
+dtype: bfloat16
+
+```

config.json

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+{
+  "_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "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": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+models:
+  - model: mistralai/Mistral-7B-v0.1
+    # No parameters necessary for base model
+  - model: cognitivecomputations/samantha-1.1-westlake-7b
+    parameters:
+      density: 0.59
+      weight: 0.15
+  - model: NeverSleep/Noromaid-7B-0.4-DPO
+    parameters:
+      density: 0.59
+      weight: 0.3
+  - model: teknium/OpenHermes-2.5-Mistral-7B
+    parameters:
+      density: 0.49
+      weight: 0.3
+  - model: Open-Orca/Mistral-7B-OpenOrca
+    parameters:
+      density: 0.49
+      weight: 0.25
+merge_method: dare_ties
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  int8_mask: true
+dtype: bfloat16

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