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README.md

@@ -1,20 +1,36 @@
 ---
-license: apache-2.0
-language:
-- en
+base_model:
+- flemmingmiguel/MBX-7B-v3
+- paulml/NeuralOmniWestBeaglake-7B
+- FelixChao/Faraday-7B
+- paulml/NeuralOmniBeagleMBX-v3-7B
 tags:
+- mergekit
 - merge
+
 ---
+# TEST
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/6589d7e6586088fd2784a12c/IHjiqZF5wGDzXPkEIAjTt.png)
-# To see what will happen
+This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [paulml/NeuralOmniBeagleMBX-v3-7B](https://huggingface.co/paulml/NeuralOmniBeagleMBX-v3-7B) as a base.
 
-[Join our Discord!](https://discord.gg/aEGuFph9)
+### Models Merged
 
-A merge using the task_arithmetic method of merging. This is a method my team and I haven't experimented with recently, hopefully this will work well.
+The following models were included in the merge:
+* [flemmingmiguel/MBX-7B-v3](https://huggingface.co/flemmingmiguel/MBX-7B-v3)
+* [paulml/NeuralOmniWestBeaglake-7B](https://huggingface.co/paulml/NeuralOmniWestBeaglake-7B)
+* [FelixChao/Faraday-7B](https://huggingface.co/FelixChao/Faraday-7B)
 
-You can see the merge script here:
-```models:
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
   - model: paulml/NeuralOmniWestBeaglake-7B
     parameters:
       weight: 1
@@ -33,3 +49,5 @@ parameters:
   normalize: true
   int8_mask: true
 dtype: float16
+
+```

added_tokens.json

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+{
+  "</s>": 2,
+  "<s>": 1,
+  "<unk>": 0
+}

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "paulml/NeuralOmniBeagleMBX-v3-7B",
+  "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": "float16",
+  "transformers_version": "4.34.0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

mergekit_config.yml

@@ -0,0 +1,19 @@
+models:
+  - model: paulml/NeuralOmniWestBeaglake-7B
+    parameters:
+      weight: 1
+  - model: FelixChao/Faraday-7B
+    parameters:
+      weight: 1
+  - model: flemmingmiguel/MBX-7B-v3
+    parameters:
+      weight: 1
+  - model: paulml/NeuralOmniBeagleMBX-v3-7B
+    parameters:
+      weight: 1
+merge_method: task_arithmetic
+base_model: paulml/NeuralOmniBeagleMBX-v3-7B
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: float16

model-00002-of-00002.safetensors

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+size 4513270032

model.safetensors.index.json

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