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README.md

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+---
+base_model:
+- appvoid/text-arco
+- appvoid/arco-2
+- Fizzarolli/clite-500m
+- h2oai/h2o-danube3-500m-base
+- appvoid/massive
+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 [h2oai/h2o-danube3-500m-base](https://huggingface.co/h2oai/h2o-danube3-500m-base) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [appvoid/text-arco](https://huggingface.co/appvoid/text-arco)
+* [appvoid/arco-2](https://huggingface.co/appvoid/arco-2)
+* [Fizzarolli/clite-500m](https://huggingface.co/Fizzarolli/clite-500m)
+* [appvoid/massive](https://huggingface.co/appvoid/massive)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: h2oai/h2o-danube3-500m-base
+    #no parameters necessary for base model
+  - model: appvoid/text-arco
+    parameters:
+      density: 0.5
+      weight: 0.25
+  - model: appvoid/arco-2
+    parameters:
+      density: 0.5
+      weight: 0.25
+  - model: appvoid/massive
+    parameters:
+      density: 0.5
+      weight: 0.25
+  - model: Fizzarolli/clite-500m
+    parameters:
+      density: 0.5
+      weight: 0.25
+
+merge_method: ties
+base_model: h2oai/h2o-danube3-500m-base
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: float16
+```

config.json

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+{
+  "_name_or_path": "h2oai/h2o-danube3-500m-base",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 96,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 100000,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.46.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+models:
+  - model: h2oai/h2o-danube3-500m-base
+    #no parameters necessary for base model
+  - model: appvoid/text-arco
+    parameters:
+      density: 0.5
+      weight: 0.25
+  - model: appvoid/arco-2
+    parameters:
+      density: 0.5
+      weight: 0.25
+  - model: appvoid/massive
+    parameters:
+      density: 0.5
+      weight: 0.25
+  - model: Fizzarolli/clite-500m
+    parameters:
+      density: 0.5
+      weight: 0.25
+
+merge_method: ties
+base_model: h2oai/h2o-danube3-500m-base
+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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