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README.md

@@ -1,3 +1,57 @@
 ---
-license: apache-2.0
+base_model:
+- netcat420/MFANN3bv0.3
+- netcat420/MFANN3bv0.7
+- liminerity/Phigments12
+- netcat420/MFANN3bv0.6
+library_name: transformers
+tags:
+- mergekit
+- merge
+
 ---
+# MFANN3bv0.8
+
+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/MFANN3bv0.3](https://huggingface.co/netcat420/MFANN3bv0.3)
+* [netcat420/MFANN3bv0.7](https://huggingface.co/netcat420/MFANN3bv0.7)
+* [netcat420/MFANN3bv0.6](https://huggingface.co/netcat420/MFANN3bv0.6)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: netcat420/MFANN3bv0.6
+    parameters:
+      density: [1, 0.7, 0.1] # density gradient
+      weight: 1.0
+  - model: netcat420/MFANN3bv0.3
+    parameters:
+      density: 0.5
+      weight: [0, 0.3, 0.7, 1] # weight gradient
+  - model: netcat420/MFANN3bv0.7
+    parameters:
+      density: 0.33
+      weight:
+        - filter: mlp
+          value: 0.5
+        - value: 0
+merge_method: ties
+base_model: liminerity/Phigments12
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: float16
+
+```

added_tokens.json

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+  "                         ": 50263,
+  "                          ": 50262,
+  "                           ": 50261,
+  "                            ": 50260,
+  "                             ": 50259,
+  "                              ": 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": "4.40.2",
+  "use_cache": true,
+  "vocab_size": 51200
+}

mergekit_config.yml

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+models:
+  - model: netcat420/MFANN3bv0.6
+    parameters:
+      density: [1, 0.7, 0.1] # density gradient
+      weight: 1.0
+  - model: netcat420/MFANN3bv0.3
+    parameters:
+      density: 0.5
+      weight: [0, 0.3, 0.7, 1] # weight gradient
+  - model: netcat420/MFANN3bv0.7
+    parameters:
+      density: 0.33
+      weight:
+        - filter: mlp
+          value: 0.5
+        - value: 0
+merge_method: ties
+base_model: liminerity/Phigments12
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: float16

model-00001-of-00001.safetensors

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model.safetensors.index.json

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special_tokens_map.json

@@ -0,0 +1,23 @@
+{
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "lstrip": false,
+    "normalized": false,
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+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,324 @@
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+}