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README.md

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----
-license: cc-by-nc-4.0
-library_name: transformers
-tags:
-- mergekit
-- merge
-- alpaca
-- mistral
-- not-for-all-audiences
-- nsfw
-base_model:
-- icefog72/IceSakeRP-7b
-
----
-# IceSakeRPTrainingTestV1-7b
-
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/63407b719dbfe0d48b2d763b/PtPya8KK3BeD56yt53asU.png)
-
-
-The model should handle 25-32k context window size.
-
-[ST Discord thread of model - feedback](https://discord.com/channels/1100685673633153084/1259898635194339389)
-
-[Rules-lorebook and settings I'm using you can find here ('By model' folder)](https://huggingface.co/icefog72/GeneralInfoToStoreNotModel/tree/main)
-
-[ko-fi To buy sweets for my cat :3](https://ko-fi.com/icefog72)
-
-
-
+---
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# IceSakeRPTrainingTestV11-7b
+
+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:
+* G:\FModels\NewFolder
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+      - model: G:\FModels\NewFolder
+        layer_range: [0, 32]
+      - model: G:\FModels\NewFolder
+        layer_range: [0, 32]
+
+merge_method: slerp
+base_model: G:\FModels\NewFolder
+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: bfloat16
+
+
+```

config.json

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-{
-  "_name_or_path": "icefog72/IceSakeRP-7b",
-  "architectures": [
-    "MistralForCausalLM"
-  ],
-  "attention_dropout": 0.0,
-  "bos_token_id": 1,
-  "eos_token_id": 2,
-  "head_dim": 128,
-  "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,
-  "pad_token_id": 0,
-  "rms_norm_eps": 1e-05,
-  "rope_scaling": null,
-  "rope_theta": 40000.0,
-  "sliding_window": null,
-  "tie_word_embeddings": false,
-  "torch_dtype": "float16",
-  "transformers_version": "4.44.0",
-  "unsloth_version": "2024.8",
-  "use_cache": true,
-  "vocab_size": 32000
-}
+{
+  "_name_or_path": "G:\\FModels\\NewFolder",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "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,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 40000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.43.1",
+  "unsloth_version": "2024.8",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+slices:
+  - sources:
+      - model: G:\FModels\NewFolder
+        layer_range: [0, 32]
+      - model: G:\FModels\NewFolder
+        layer_range: [0, 32]
+
+merge_method: slerp
+base_model: G:\FModels\NewFolder
+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: bfloat16
+

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