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README.md

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+---
+license: cc-by-nc-4.0
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+![OrcaHermes](https://huggingface.co/cookinai/OrcaHermes-Mistral-70B-miqu/resolve/main/converted_image.png)
+
+# OrcaHermes-Mistral-70B
+
+This model was created by SLERP Merging 2 Miqu Models trained on 2 high preforming datsets.
+
+
+Just an experiment, have not seen much miqu slerps yet.
+
+### Models Merged
+
+The following models were included in the merge:
+
+[alicecomfy/miqu-openhermes-full](https://huggingface.co/alicecomfy/miqu-openhermes-full)
+- Base Miqu Trained on [Openhermes](https://huggingface.co/datasets/teknium/OpenHermes-2.5)
+
+[ShinojiResearch/Senku-70B-Full](https://huggingface.co/ShinojiResearch/Senku-70B-Full)
+- Base Miqu Trained on [Slimorca](https://huggingface.co/datasets/Open-Orca/SlimOrca)
+
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+      - model: local//path//to//Senku-70B-Full
+        layer_range: [0, 80]
+      - model: local//path//to//miqu-openhermes-full
+        layer_range: [0, 80]
+merge_method: slerp
+base_model: local//path//to//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,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.1.7",
+        "bits": 4.0,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

huggingface-metadata.txt

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+url: https://huggingface.co/cookinai/OrcaHermes-Mistral-70B-miqu
+branch: main
+download date: 2024-07-19 11:21:27
+sha256sum:
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model.safetensors.index.json

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