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README.md

@@ -1,5 +1,46 @@
 ---
-license: other
-license_name: miqu
-license_link: LICENSE
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+
 ---
+# 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 SLERP merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* D:\\ai\\merges\\transformers\\models\\miquhermes\\miqu-openhermes-full
+* D:\\ai\\merges\\transformers\\models\\senku\\Senku-70B-Full
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+      - model: D:\\ai\\merges\\transformers\\models\\senku\\Senku-70B-Full
+        layer_range: [0, 80]
+      - model: D:\\ai\\merges\\transformers\\models\\miquhermes\\miqu-openhermes-full
+        layer_range: [0, 80]
+merge_method: slerp
+base_model: D:\\ai\\merges\\transformers\\models\\senku\\Senku-70B-Full
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5 # fallback for rest of tensors
+dtype: float16
+
+```

config.json

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+{
+  "_name_or_path": "D:\\\\ai\\\\merges\\\\transformers\\\\models\\\\senku\\\\Senku-70B-Full",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 8192,
+  "initializer_range": 0.02,
+  "intermediate_size": 28672,
+  "max_position_embeddings": 32764,
+  "model_type": "llama",
+  "num_attention_heads": 64,
+  "num_hidden_layers": 80,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.36.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+slices:
+  - sources:
+      - model: D:\\ai\\merges\\transformers\\models\\senku\\Senku-70B-Full
+        layer_range: [0, 80]
+      - model: D:\\ai\\merges\\transformers\\models\\miquhermes\\miqu-openhermes-full
+        layer_range: [0, 80]
+merge_method: slerp
+base_model: D:\\ai\\merges\\transformers\\models\\senku\\Senku-70B-Full
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5 # fallback for rest of tensors
+dtype: float16

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