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README.md

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+---
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# Ice0.15-02.10-RP
+
+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\Ice0.14-02.10-RP
+* H:\FModels\Ice0.13-02.10-RP
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+      - model: G:\FModels\Ice0.14-02.10-RP
+        layer_range: [0, 32]
+      - model: H:\FModels\Ice0.13-02.10-RP
+        layer_range: [0, 32]
+
+merge_method: slerp
+base_model: G:\FModels\Ice0.14-02.10-RP
+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": "G:\\FModels\\Ice0.14-02.10-RP",
+    "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": "4.44.2",
+    "use_cache": true,
+    "vocab_size": 32000,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.2.0",
+        "bits": 6.5,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

mergekit_config.yml

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+slices:
+  - sources:
+      - model: G:\FModels\Ice0.14-02.10-RP
+        layer_range: [0, 32]
+      - model: H:\FModels\Ice0.13-02.10-RP
+        layer_range: [0, 32]
+
+merge_method: slerp
+base_model: G:\FModels\Ice0.14-02.10-RP
+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.safetensors.index.json

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+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "normalized": false,
+      "rstrip": false,
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+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+  "eos_token": "</s>",
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+  "tokenizer_class": "LlamaTokenizer",
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+  "use_default_system_prompt": false
+}