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README.md

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+---
+base_model:
+- ycros/BagelMIsteryTour-v2-8x7B
+- smelborp/MixtralOrochi8x7B
+- cognitivecomputations/dolphin-2.7-mixtral-8x7b
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# maid-yuzu-v7
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+I don't know anything about merges, so this may be a stupid method, but I was curious how the models would be merged if I took this approach.
+
+## Merge Details
+### Merge Method
+
+This model was merged using the SLERP merge method.
+
+This model is a model that first merges Model [Orochi](https://huggingface.co/smelborp/MixtralOrochi8x7B) with Model [dolphin](https://huggingface.co/cognitivecomputations/dolphin-2.7-mixtral-8x7b) with a 0.15 SLERP option, and then merges Model [BagelMIsteryTour](https://huggingface.co/ycros/BagelMIsteryTour-v2-8x7B) with a 0.2 SLERP option based on the merged model.
+
+### Models Merged
+
+The following models were included in the merge:
+* [ycros/BagelMIsteryTour-v2-8x7B](https://huggingface.co/ycros/BagelMIsteryTour-v2-8x7B)
+* ../maid-yuzu-v7-base
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model:
+  model:
+    path: ../maid-yuzu-v7-base
+dtype: bfloat16
+merge_method: slerp
+parameters:
+  t:
+  - value: 0.2
+slices:
+- sources:
+  - layer_range: [0, 32]
+    model:
+      model:
+        path: ../maid-yuzu-v7-base
+  - layer_range: [0, 32]
+    model:
+      model:
+        path: ycros/BagelMIsteryTour-v2-8x7B
+```

config.json

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+{
+  "_name_or_path": "../maid-yuzu-v7-base",
+  "architectures": [
+    "MixtralForCausalLM"
+  ],
+  "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": "mixtral",
+  "num_attention_heads": 32,
+  "num_experts_per_tok": 2,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "num_local_experts": 8,
+  "output_router_logits": false,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "router_aux_loss_coef": 0.02,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

huggingface-metadata.txt

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+url: https://huggingface.co/rhplus0831/maid-yuzu-v7
+branch: main
+download date: 2024-02-13 10:00:06
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tokenizer_config.json

@@ -0,0 +1,42 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}