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README.md

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+---
+base_model:
+- Undi95/PsyMedRP-v1-20B
+- Undi95/MLewd-ReMM-L2-Chat-20B-Inverted
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# merge
+
+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:
+* [Undi95/PsyMedRP-v1-20B](https://huggingface.co/Undi95/PsyMedRP-v1-20B)
+* [Undi95/MLewd-ReMM-L2-Chat-20B-Inverted](https://huggingface.co/Undi95/MLewd-ReMM-L2-Chat-20B-Inverted)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+      - model: Undi95/MLewd-ReMM-L2-Chat-20B-Inverted
+        layer_range: [0, 62]  # MLewd-ReMM-L2-Chat-20B-Inverted has 62 layers
+      - model: Undi95/PsyMedRP-v1-20B
+        layer_range: [0, 62]  # PsyMedRP-v1-20B has 62 layers
+merge_method: slerp  # Or use another method like weight_average if needed
+base_model: Undi95/PsyMedRP-v1-20B  # Can use either as the base model
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]  # Tune these for desired effect
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5  # Default averaging weight
+dtype: bfloat16  # Use preferred dtype, like fp16 or float32 if needed
+```

config.json

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+{
+  "_name_or_path": "Undi95/PsyMedRP-v1-20B",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 62,
+  "num_key_value_heads": 40,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.1",
+  "use_cache": false,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+slices:
+  - sources:
+      - model: Undi95/MLewd-ReMM-L2-Chat-20B-Inverted
+        layer_range: [0, 62]  # MLewd-ReMM-L2-Chat-20B-Inverted has 62 layers
+      - model: Undi95/PsyMedRP-v1-20B
+        layer_range: [0, 62]  # PsyMedRP-v1-20B has 62 layers
+merge_method: slerp  # Or use another method like weight_average if needed
+base_model: Undi95/PsyMedRP-v1-20B  # Can use either as the base model
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]  # Tune these for desired effect
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5  # Default averaging weight
+dtype: bfloat16  # Use preferred dtype, like fp16 or float32 if needed

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