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README.md

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+---
+base_model:
+- netcat420/MFANN-Phigments12-slerp
+- liminerity/Phigments12
+- netcat420/MFANN-phigments-slerp-1a
+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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [liminerity/Phigments12](https://huggingface.co/liminerity/Phigments12) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [netcat420/MFANN-Phigments12-slerp](https://huggingface.co/netcat420/MFANN-Phigments12-slerp)
+* [netcat420/MFANN-phigments-slerp-1a](https://huggingface.co/netcat420/MFANN-phigments-slerp-1a)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: liminerity/Phigments12
+    # no parameters necessary for base model
+  - model: netcat420/MFANN-phigments-slerp-1a
+    parameters:
+      density: 1
+      weight: 1
+  - model: netcat420/MFANN-Phigments12-slerp
+    parameters:
+      density: 1
+      weight: 1
+merge_method: ties
+base_model: liminerity/Phigments12
+parameters:
+  normalize: true
+dtype: float16
+```

added_tokens.json

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+  "                              ": 50258,
+  "                               ": 50257
+}

config.json

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+{
+  "_name_or_path": "liminerity/Phigments12",
+  "architectures": [
+    "PhiForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 50256,
+  "hidden_act": "gelu_new",
+  "hidden_size": 2560,
+  "initializer_range": 0.02,
+  "intermediate_size": 10240,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "phi",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "partial_rotary_factor": 0.4,
+  "qk_layernorm": false,
+  "resid_pdrop": 0.1,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.45.1",
+  "use_cache": true,
+  "vocab_size": 51200
+}

mergekit_config.yml

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+models:
+  - model: liminerity/Phigments12
+    # no parameters necessary for base model
+  - model: netcat420/MFANN-phigments-slerp-1a
+    parameters:
+      density: 1
+      weight: 1
+  - model: netcat420/MFANN-Phigments12-slerp
+    parameters:
+      density: 1
+      weight: 1
+merge_method: ties
+base_model: liminerity/Phigments12
+parameters:
+  normalize: true
+dtype: float16

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special_tokens_map.json

@@ -0,0 +1,23 @@
+{
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+}

tokenizer_config.json

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