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README.md

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----
-license: mit
----
+---
+base_model:
+- TaylorAI/gte-tiny
+- Mihaiii/Venusaur
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# output-model-directory
+
+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 passthrough merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [TaylorAI/gte-tiny](https://huggingface.co/TaylorAI/gte-tiny)
+* [Mihaiii/Venusaur](https://huggingface.co/Mihaiii/Venusaur)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+    - model: Mihaiii/Venusaur
+      layer_range: [0, 1]
+  - sources:
+    - model: TaylorAI/gte-tiny
+      layer_range: [1, 5]
+  - sources:
+    - model: Mihaiii/Venusaur
+      layer_range: [1, 2]
+merge_method: passthrough
+dtype: float32
+
+```

config.json

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+{
+  "_name_or_path": "TaylorAI/gte-tiny",
+  "architectures": [
+    "BertModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 384,
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

mergekit_config.yml

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+slices:
+  - sources:
+    - model: Mihaiii/Venusaur
+      layer_range: [0, 1]
+  - sources:
+    - model: TaylorAI/gte-tiny
+      layer_range: [1, 5]
+  - sources:
+    - model: Mihaiii/Venusaur
+      layer_range: [1, 2]
+merge_method: passthrough
+dtype: float32

model-00001-of-00001.safetensors

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+oid sha256:f0d2e7c7d57742f1f8e8e2de29d82f3bca8b2ce9c075b82fc40fe2244329c627
+size 90864192

model.safetensors.index.json

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special_tokens_map.json

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+{
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+    "[CLS]",
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+    "[MASK]"
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+  "cls_token": {
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+    "single_word": false
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+  },
+  "additional_special_tokens": [
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+    "[UNK]",
+    "[CLS]",
+    "[SEP]",
+    "[MASK]"
+  ],
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "max_length": 128,
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_to_multiple_of": null,
+  "pad_token": "[PAD]",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "sep_token": "[SEP]",
+  "stride": 0,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "[UNK]"
+}