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README.md

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+---
+base_model:
+- meta-llama/CodeLlama-7b-Python-hf
+- meta-llama/Llama-2-7b-hf
+- meta-llama/CodeLlama-7b-Instruct-hf
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# models
+
+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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [meta-llama/CodeLlama-7b-Python-hf](https://huggingface.co/meta-llama/CodeLlama-7b-Python-hf)
+* [meta-llama/CodeLlama-7b-Instruct-hf](https://huggingface.co/meta-llama/CodeLlama-7b-Instruct-hf)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: meta-llama/Llama-2-7b-hf
+  - model: meta-llama/CodeLlama-7b-Python-hf
+    parameters:
+      density: 0.55
+      weight: 0.5
+  - model: meta-llama/CodeLlama-7b-Instruct-hf
+    parameters:
+      density: 0.65
+      weight: 1.0
+base_model: meta-llama/Llama-2-7b-hf
+merge_method: task_arithmetic
+dtype: float16
+
+```

config.json

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+{
+  "_name_or_path": "meta-llama/Llama-2-7b-hf",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.46.3",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+models:
+  - model: meta-llama/Llama-2-7b-hf
+  - model: meta-llama/CodeLlama-7b-Python-hf
+    parameters:
+      density: 0.55
+      weight: 0.5
+  - model: meta-llama/CodeLlama-7b-Instruct-hf
+    parameters:
+      density: 0.65
+      weight: 1.0
+base_model: meta-llama/Llama-2-7b-hf
+merge_method: task_arithmetic
+dtype: float16

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