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- config.json +1 -1
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- model.safetensors.index.json +1 -1
README.md
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- lazymergekit
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base_model:
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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
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## 🧩 Configuration
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```yaml
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model: meta-llama/Meta-Llama-3-8B
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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
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- lazymergekit
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base_model:
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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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- 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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config.json
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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":
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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_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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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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slices:
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layer_range: [0, 24]
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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.safetensors.index.json
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