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README.md

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+
+---
+license: apache-2.0
+---
+# OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp
+
+This is the model for OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp. I used [mergekit](https://github.com/cg123/mergekit) to merge models.
+
+# Yaml Config
+
+```yaml
+
+slices:
+  - sources:
+      - model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
+        layer_range: [0, 32]
+      - model: openchat/openchat-3.5-1210
+        layer_range: [0, 32]
+
+merge_method: slerp
+base_model: mistralai/Mistral-7B-v0.1
+
+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
+tokenizer_source: union
+
+dtype: bfloat16
+
+```

added_tokens.json

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+{
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+  "<|pad_0|>": 32000
+}

config.json

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+{
+  "_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "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": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 32002
+}

model-00001-of-00002.safetensors

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model-00002-of-00002.safetensors

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model.safetensors.index.json

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