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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
+

model-00001-of-00003.safetensors

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model.safetensors.index.json

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