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README.md

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+---
+base_model:
+- TinyLlama/TinyLlama-1.1B-Chat-v1.0
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# ModelType-IV
+
+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:
+* [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+dtype: float16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 20]
+    model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
+- sources:
+  - layer_range: [0, 20]
+    model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
+
+```

config.json

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+{
+  "_name_or_path": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5632,
+  "max_position_embeddings": 2048,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 4,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.41.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+
+dtype: float16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 20]
+    model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
+- sources:
+  - layer_range: [0, 20]
+    model: TinyLlama/TinyLlama-1.1B-Chat-v1.0

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