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README.md

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+---
+tags:
+- mergekit
+- merge
+- mistral
+- roleplay
+---
+
+### Information
+
+This is meant to be a smart RP model.
+
+I did some unholy things to make the model load. (I removed all configs and replaced them with the ones from Hercules)
+
+**Important**: When using this model it is necessary to include example messages, or it may sound bland. With examples it does pretty well.
+
+### Reasoning behind the selected values
+
+To my understanding layers in the middle have a lower effect than later layers on the final output.
+
+So keeping this in mind, I only increase the % of the smart model, at the middle. As to increase its reasoning abilities, but keep it uncensored.
+
+If I am wrong please inform me, as I am not him. (F**k you Devin)
+
+# Helen-v1
+
+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:
+* [l3utterfly/mistral-7b-v0.2-layla-v4](https://huggingface.co/l3utterfly/mistral-7b-v0.2-layla-v4)
+* [Locutusque/Hercules-4.0-Mistral-v0.2-7B](https://huggingface.co/Locutusque/Hercules-4.0-Mistral-v0.2-7B)
+* [Weyaxi/Einstein-v5-v0.2-7B](https://huggingface.co/Weyaxi/Einstein-v5-v0.2-7B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+      - model: l3utterfly/mistral-7b-v0.2-layla-v4
+        layer_range: [0, 32]
+      - model: Mergekit/Hercules-Einstein_low
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: l3utterfly/mistral-7b-v0.2-layla-v4
+parameters:
+  t:
+    - filter: self_attn
+      value: [0.15, 0.20, 0.35, 0.10, 0.15]
+    - filter: mlp
+      value: [0.15, 0.20, 0.35, 0.10, 0.15]
+    - value: 0.15 # fallback for rest of tensors
+dtype: float16
+
+```

config.json

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+{
+  "_name_or_path": "alpindale/Mistral-7B-v0.2-hf",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "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": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.39.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.39.1"
+}

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special_tokens_map.json

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tokenizer_config.json

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