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README.md

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+---
+base_model:
+- mistralai/Mixtral-8x7B-v0.1
+- mistralai/Mixtral-8x7B-Instruct-v0.1
+- jondurbin/bagel-dpo-8x7b-v0.2
+- cognitivecomputations/dolphin-2.7-mixtral-8x7b
+- NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss
+- ycros/BagelMIsteryTour-v2-8x7B
+- smelborp/MixtralOrochi8x7B
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# maid-yuzu-v8-alter
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+v7's approach worked better than I thought, so I tried something even weirder as a test. I don't think a proper model will come out, but I'm curious about the results.
+
+## Merge Details
+### Merge Method
+
+This model was merged using the SLERP merge method.
+
+This models were merged using the SLERP method in the following order:
+
+    maid-yuzu-v8-base: mistralai/Mixtral-8x7B-v0.1 + mistralai/Mixtral-8x7B-Instruct-v0.1 = 0.5
+    maid-yuzu-v8-step1: above + jondurbin/bagel-dpo-8x7b-v0.2 = 0.25
+    maid-yuzu-v8-step2: above + cognitivecomputations/dolphin-2.7-mixtral-8x7b = 0.25
+    maid-yuzu-v8-step3: above + NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss = 0.25
+    maid-yuzu-v8-step4-alter: above + ycros/BagelMIsteryTour-v2-8x7B = 0.5
+    maid-yuzu-v8-alter: above + smelborp/MixtralOrochi8x7B = 0.5
+
+### Models Merged
+
+The following models were included in the merge:
+* [smelborp/MixtralOrochi8x7B](https://huggingface.co/smelborp/MixtralOrochi8x7B)
+* ../maid-yuzu-v8-step4-alter
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model:
+  model:
+    path: ../maid-yuzu-v8-step4-alter
+dtype: bfloat16
+merge_method: slerp
+parameters:
+  t:
+  - value: 0.5
+slices:
+- sources:
+  - layer_range: [0, 32]
+    model:
+      model:
+        path: ../maid-yuzu-v8-step4-alter
+  - layer_range: [0, 32]
+    model:
+      model:
+        path: smelborp/MixtralOrochi8x7B
+```

config.json

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+{
+  "_name_or_path": "../maid-yuzu-v8-step4-alter",
+  "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: ../maid-yuzu-v8-step4-alter
+dtype: bfloat16
+merge_method: slerp
+parameters:
+  t:
+  - value: 0.5
+slices:
+- sources:
+  - layer_range: [0, 32]
+    model:
+      model:
+        path: ../maid-yuzu-v8-step4-alter
+  - layer_range: [0, 32]
+    model:
+      model:
+        path: smelborp/MixtralOrochi8x7B

model.safetensors.index.json

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