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README.md CHANGED
@@ -17,16 +17,18 @@ AI-M3-10.7Bv2 is a merge of the following models using [LazyMergekit](https://co
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  ```yaml
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  dtype: float16
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- merge_method: linear
 
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  slices:
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  - sources:
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- - layer_range: [0, 24]
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- model: mistralai/Mistral-7B-Instruct-v0.3
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  - sources:
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- - layer_range: [12, 32]
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- model: mistralai/Mistral-7B-Instruct-v0.3
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  parameters:
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- weight: 1.0
 
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  ```
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  ## 💻 Usage
 
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  ```yaml
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  dtype: float16
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+ base_model: mistralai/Mistral-7B-Instruct-v0.3
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+ merge_method: task_arithmetic
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  slices:
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  - sources:
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+ - model: mistralai/Mistral-7B-Instruct-v0.3
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+ layer_range: [0, 26]
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  - sources:
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+ - model: mistralai/Mistral-7B-Instruct-v0.3
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+ layer_range: [10, 32]
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  parameters:
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+ t: 1
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+ weight: 1.0
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  ```
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  ## 💻 Usage
config.json CHANGED
@@ -13,7 +13,7 @@
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  "max_position_embeddings": 32768,
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  "model_type": "mistral",
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  "num_attention_heads": 32,
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- "num_hidden_layers": 44,
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  "num_key_value_heads": 8,
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  "rms_norm_eps": 1e-05,
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  "rope_theta": 1000000.0,
 
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  "max_position_embeddings": 32768,
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  "model_type": "mistral",
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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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  "rms_norm_eps": 1e-05,
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  "rope_theta": 1000000.0,
mergekit_config.yml CHANGED
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  dtype: float16
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- merge_method: linear
 
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- model: mistralai/Mistral-7B-Instruct-v0.3
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- - layer_range: [12, 32]
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- model: mistralai/Mistral-7B-Instruct-v0.3
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  parameters:
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- weight: 1.0
 
 
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  dtype: float16
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+ base_model: mistralai/Mistral-7B-Instruct-v0.3
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+ merge_method: task_arithmetic
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  slices:
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+ - model: mistralai/Mistral-7B-Instruct-v0.3
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+ layer_range: [0, 26]
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+ - model: mistralai/Mistral-7B-Instruct-v0.3
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+ layer_range: [10, 32]
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  parameters:
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+ t: 1
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+ weight: 1.0
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