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README.md CHANGED
@@ -6,27 +6,31 @@ tags:
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  - lazymergekit
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  base_model:
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  - meta-llama/Meta-Llama-3-8B
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- - meta-llama/Meta-Llama-3-8B
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  ---
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  # FrankenLlama-3-12B
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  FrankenLlama-3-12B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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  * [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
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- * [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
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  ## 🧩 Configuration
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  ```yaml
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- slices:
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- - sources:
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- - model: meta-llama/Meta-Llama-3-8B
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- layer_range: [0, 24]
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- - sources:
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- - model: meta-llama/Meta-Llama-3-8B
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- layer_range: [8, 32]
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- merge_method: passthrough
 
 
 
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  dtype: bfloat16
 
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  ```
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  ## 💻 Usage
 
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  - lazymergekit
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  base_model:
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  - meta-llama/Meta-Llama-3-8B
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+ - meta-llama/Meta-Llama-3-8B-Instruct
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  ---
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  # FrankenLlama-3-12B
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  FrankenLlama-3-12B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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  * [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
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+ * [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
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  ## 🧩 Configuration
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  ```yaml
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+ models:
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+ - layer_range: [0, 40]
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+ model: meta-llama/Meta-Llama-3-8B
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+ parameters:
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+ weight: 0.2
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+ - layer_range: [0, 40]
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+ model: meta-llama/Meta-Llama-3-8B-Instruct
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+ parameters:
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+ weight: 0.8
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+ merge_method: task_arithmetic
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+ base_model: meta-llama/Meta-Llama-3-8B
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  dtype: bfloat16
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+ random_seed: 0
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  ```
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  ## 💻 Usage
config.json CHANGED
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  "max_position_embeddings": 8192,
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  "model_type": "llama",
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  "num_attention_heads": 32,
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- "num_hidden_layers": 48,
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  "num_key_value_heads": 8,
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  "pretraining_tp": 1,
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  "rms_norm_eps": 1e-05,
 
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  "max_position_embeddings": 8192,
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  "model_type": "llama",
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  "num_attention_heads": 32,
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  "num_key_value_heads": 8,
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  "pretraining_tp": 1,
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  "rms_norm_eps": 1e-05,
mergekit_config.yml CHANGED
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- - model: meta-llama/Meta-Llama-3-8B
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- - model: meta-llama/Meta-Llama-3-8B
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- layer_range: [8, 32]
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- merge_method: passthrough
 
 
 
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  dtype: bfloat16
 
 
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+ model: meta-llama/Meta-Llama-3-8B
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+ parameters:
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+ model: meta-llama/Meta-Llama-3-8B-Instruct
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+ parameters:
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+ weight: 0.8
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+ merge_method: task_arithmetic
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+ base_model: meta-llama/Meta-Llama-3-8B
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  dtype: bfloat16
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+ random_seed: 0
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