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README.md

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+---
+base_model:
+- cognitivecomputations/dolphin-2.7-mixtral-8x7b
+- Sao10K/Sensualize-Mixtral-bf16
+- jondurbin/bagel-dpo-8x7b-v0.2
+- mistralai/Mixtral-8x7B-v0.1
+- Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
+- smelborp/MixtralOrochi8x7B
+- mistralai/Mixtral-8x7B-v0.1
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# maid-yuzu-v4
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+This model is a model that I merged with several models I know because I had leftover credits for merging.
+
+## 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/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [cognitivecomputations/dolphin-2.7-mixtral-8x7b](https://huggingface.co/cognitivecomputations/dolphin-2.7-mixtral-8x7b)
+* [Sao10K/Sensualize-Mixtral-bf16](https://huggingface.co/Sao10K/Sensualize-Mixtral-bf16)
+* [jondurbin/bagel-dpo-8x7b-v0.2](https://huggingface.co/jondurbin/bagel-dpo-8x7b-v0.2)
+* [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) + [Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora](https://huggingface.co/Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora)
+* [smelborp/MixtralOrochi8x7B](https://huggingface.co/smelborp/MixtralOrochi8x7B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model:
+  model:
+    path: mistralai/Mixtral-8x7B-v0.1
+dtype: bfloat16
+merge_method: dare_ties
+slices:
+- sources:
+  - layer_range: [0, 32]
+    model:
+      model:
+        path: smelborp/MixtralOrochi8x7B
+    parameters:
+      density: 0.75
+      weight: 0.7
+  - layer_range: [0, 32]
+    model:
+      model:
+        path: cognitivecomputations/dolphin-2.7-mixtral-8x7b
+    parameters:
+      density: 0.6
+      weight: 0.1
+  - layer_range: [0, 32]
+    model:
+      model:
+        path: jondurbin/bagel-dpo-8x7b-v0.2
+    parameters:
+      density: 0.6
+      weight: 0.1
+  - layer_range: [0, 32]
+    model:
+      lora:
+        path: Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
+      model:
+        path: mistralai/Mixtral-8x7B-v0.1
+    parameters:
+      density: 0.5
+      weight: 0.25
+  - layer_range: [0, 32]
+    model:
+      model:
+        path: Sao10K/Sensualize-Mixtral-bf16
+    parameters:
+      density: 0.5
+      weight: 0.2
+  - layer_range: [0, 32]
+    model:
+      model:
+        path: mistralai/Mixtral-8x7B-v0.1
+```

config.json

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+{
+  "_name_or_path": "mistralai/Mixtral-8x7B-v0.1",
+  "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
+}

mergekit_config.yml

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+base_model:
+  model:
+    path: mistralai/Mixtral-8x7B-v0.1
+dtype: bfloat16
+merge_method: dare_ties
+slices:
+- sources:
+  - layer_range: [0, 32]
+    model:
+      model:
+        path: smelborp/MixtralOrochi8x7B
+    parameters:
+      density: 0.75
+      weight: 0.7
+  - layer_range: [0, 32]
+    model:
+      model:
+        path: cognitivecomputations/dolphin-2.7-mixtral-8x7b
+    parameters:
+      density: 0.6
+      weight: 0.1
+  - layer_range: [0, 32]
+    model:
+      model:
+        path: jondurbin/bagel-dpo-8x7b-v0.2
+    parameters:
+      density: 0.6
+      weight: 0.1
+  - layer_range: [0, 32]
+    model:
+      lora:
+        path: Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
+      model:
+        path: mistralai/Mixtral-8x7B-v0.1
+    parameters:
+      density: 0.5
+      weight: 0.25
+  - layer_range: [0, 32]
+    model:
+      model:
+        path: Sao10K/Sensualize-Mixtral-bf16
+    parameters:
+      density: 0.5
+      weight: 0.2
+  - layer_range: [0, 32]
+    model:
+      model:
+        path: mistralai/Mixtral-8x7B-v0.1

model.safetensors.index.json

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