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README.md

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+---
+base_model:
+- Fizzarolli/clite-500m
+- h2oai/h2o-danube3-500m-base
+library_name: transformers
+tags:
+- mergekit
+- mergekitty
+- merge
+
+---
+# tmpzvufsy8v
+
+This is a merge of pre-trained language models created using [mergekitty](https://github.com/allura-org/mergekitty).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [Model Breadcrumbs](https://arxiv.org/abs/2312.06795) 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:
+* [Fizzarolli/clite-500m](https://huggingface.co/Fizzarolli/clite-500m)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: h2oai/h2o-danube3-500m-base
+merge_method: breadcrumbs
+parameters:
+  density: 0.95
+  gamma: 0.01
+slices:
+- sources:
+  - layer_range: [0, 16]
+    model: Fizzarolli/clite-500m
+    parameters:
+      weight: 1.0
+  - layer_range: [0, 16]
+    model: h2oai/h2o-danube3-500m-base
+```

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,
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+  "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": "bfloat16",
+  "transformers_version": "4.48.3",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekitty_config.yml

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+base_model: h2oai/h2o-danube3-500m-base
+merge_method: breadcrumbs
+parameters:
+  density: 0.95
+  gamma: 0.01
+slices:
+- sources:
+  - layer_range: [0, 16]
+    model: Fizzarolli/clite-500m
+    parameters:
+      weight: 1.0
+  - layer_range: [0, 16]
+    model: h2oai/h2o-danube3-500m-base

model-00001-of-00001.safetensors

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