update

.ipynb_checkpoints/README-checkpoint.md

@@ -0,0 +1,49 @@
+---
+base_model:
+- alpindale/Mistral-7B-v0.2-hf
+- taozi555/waifu-7b-v02
+- Locutusque/Hercules-4.0-Mistral-v0.2-7B
+- cognitivecomputations/dolphin-2.8-mistral-7b-v02
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# output
+
+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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [taozi555/waifu-7b-v02](https://huggingface.co/taozi555/waifu-7b-v02)
+* [Locutusque/Hercules-4.0-Mistral-v0.2-7B](https://huggingface.co/Locutusque/Hercules-4.0-Mistral-v0.2-7B)
+* [cognitivecomputations/dolphin-2.8-mistral-7b-v02](https://huggingface.co/cognitivecomputations/dolphin-2.8-mistral-7b-v02)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+merge_method: task_arithmetic
+base_model: alpindale/Mistral-7B-v0.2-hf
+models:
+  - model: alpindale/Mistral-7B-v0.2-hf
+  - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
+    parameters:
+      weight: 0.38
+  - model: taozi555/waifu-7b-v02@511
+    parameters:
+      weight: 0.27
+  - model: Locutusque/Hercules-4.0-Mistral-v0.2-7B
+    parameters:
+      weight: 0.38
+dtype: bfloat16
+
+```

README.md

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+---
+base_model:
+- alpindale/Mistral-7B-v0.2-hf
+- taozi555/waifu-7b-v02
+- Locutusque/Hercules-4.0-Mistral-v0.2-7B
+- cognitivecomputations/dolphin-2.8-mistral-7b-v02
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# output
+
+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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [taozi555/waifu-7b-v02](https://huggingface.co/taozi555/waifu-7b-v02)
+* [Locutusque/Hercules-4.0-Mistral-v0.2-7B](https://huggingface.co/Locutusque/Hercules-4.0-Mistral-v0.2-7B)
+* [cognitivecomputations/dolphin-2.8-mistral-7b-v02](https://huggingface.co/cognitivecomputations/dolphin-2.8-mistral-7b-v02)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+merge_method: task_arithmetic
+base_model: alpindale/Mistral-7B-v0.2-hf
+models:
+  - model: alpindale/Mistral-7B-v0.2-hf
+  - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
+    parameters:
+      weight: 0.38
+  - model: taozi555/waifu-7b-v02@511
+    parameters:
+      weight: 0.27
+  - model: Locutusque/Hercules-4.0-Mistral-v0.2-7B
+    parameters:
+      weight: 0.38
+dtype: bfloat16
+
+```

config.json

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+{
+  "_name_or_path": "alpindale/Mistral-7B-v0.2-hf",
+  "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": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.39.3",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

@@ -0,0 +1,14 @@
+merge_method: task_arithmetic
+base_model: alpindale/Mistral-7B-v0.2-hf
+models:
+  - model: alpindale/Mistral-7B-v0.2-hf
+  - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
+    parameters:
+      weight: 0.38
+  - model: taozi555/waifu-7b-v02@511
+    parameters:
+      weight: 0.27
+  - model: Locutusque/Hercules-4.0-Mistral-v0.2-7B
+    parameters:
+      weight: 0.38
+dtype: bfloat16

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