first commit of merge

README.md

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+
+---
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+
 ---
 license: apache-2.0
 ---
+
+---
+# Noodlz_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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using amazingvince/Not-WizardLM-2-7B as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* /Noodlz/DolphinLake-7B
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+merge_method: dare_ties
+
+parameters:
+  int8_mask: true
+  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
+  embed_slerp: true
+
+models:
+  - model: amazingvince/Not-WizardLM-2-7B
+    # No parameters necessary for base model
+  - model: /Noodlz/DolphinLake-7B
+    parameters:
+      density: 0.58
+      weight: 0.4
+
+base_model: amazingvince/Not-WizardLM-2-7B
+
+tokenizer_source: model:amazingvince/Not-WizardLM-2-7B
+dtype: bfloat16
+```

config.json

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+{
+  "_name_or_path": "/Users/etherops1/AI/Not-WizardLM-2-7B",
+  "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": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.39.0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+merge_method: dare_ties
+
+parameters:
+  int8_mask: true
+  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
+  embed_slerp: true
+
+models:
+  - model: /Users/etherops1/AI/Not-WizardLM-2-7B
+    # No parameters necessary for base model
+  - model: /Users/etherops1/AI/Noodlz/Noodlz_DolphinLake-DARE_TIE_SLERP-tokenwest
+    parameters:
+      density: 0.58
+      weight: 0.4
+
+base_model: /Users/etherops1/AI/Not-WizardLM-2-7B
+
+tokenizer_source: model:/Users/etherops1/AI/Not-WizardLM-2-7B
+dtype: bfloat16

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