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README.md

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+---
+base_model:
+- h2oai/h2o-danube3-500m-base
+- appvoid/arco
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# franky-3
+
+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:
+* [h2oai/h2o-danube3-500m-base](https://huggingface.co/h2oai/h2o-danube3-500m-base)
+* [appvoid/arco](https://huggingface.co/appvoid/arco)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+    - model: appvoid/arco
+      layer_range: [0, 14]
+  - sources:
+    - model: h2oai/h2o-danube3-500m-base
+      layer_range: [15, 16]
+
+merge_method: passthrough
+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,
+  "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": 15,
+  "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": "4.41.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+slices:
+  - sources:
+    - model: appvoid/arco
+      layer_range: [0, 14]
+  - sources:
+    - model: h2oai/h2o-danube3-500m-base
+      layer_range: [15, 16]
+
+merge_method: passthrough
+dtype: float16

model-00001-of-00001.safetensors

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