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README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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  base_model:
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- - Qwen/Qwen1.5-0.5B-Chat
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- - vilm/Quyen-SE-v0.1
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  library_name: transformers
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  tags:
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  - mergekit
@@ -15,12 +15,12 @@ This is a merge of pre-trained language models created using [mergekit](https://
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  ## Merge Details
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  ### Merge Method
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- This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [vilm/Quyen-SE-v0.1](https://huggingface.co/vilm/Quyen-SE-v0.1) as a base.
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  ### Models Merged
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  The following models were included in the merge:
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- * [Qwen/Qwen1.5-0.5B-Chat](https://huggingface.co/Qwen/Qwen1.5-0.5B-Chat)
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  ### Configuration
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@@ -28,16 +28,15 @@ The following YAML configuration was used to produce this model:
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  ```yaml
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  models:
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- - model: vilm/Quyen-SE-v0.1
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  # no parameters necessary for base model
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- - model: Qwen/Qwen1.5-0.5B-Chat
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  parameters:
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  density: 1
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  weight: 0.5
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  merge_method: ties
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- base_model: vilm/Quyen-SE-v0.1
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  parameters:
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  normalize: true
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  dtype: float16
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-
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  ```
 
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  ---
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  base_model:
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+ - Qwen/Qwen1.5-1.8B-Chat
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+ - vilm/Quyen-Mini-v0.1
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  library_name: transformers
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  tags:
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  - mergekit
 
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  ## Merge Details
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  ### Merge Method
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+ This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [vilm/Quyen-Mini-v0.1](https://huggingface.co/vilm/Quyen-Mini-v0.1) as a base.
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  ### Models Merged
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  The following models were included in the merge:
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+ * [Qwen/Qwen1.5-1.8B-Chat](https://huggingface.co/Qwen/Qwen1.5-1.8B-Chat)
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  ### Configuration
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  ```yaml
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  models:
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+ - model: vilm/Quyen-Mini-v0.1
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  # no parameters necessary for base model
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+ - model: Qwen/Qwen1.5-1.8B-Chat
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  parameters:
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  density: 1
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  weight: 0.5
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  merge_method: ties
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+ base_model: vilm/Quyen-Mini-v0.1
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  parameters:
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  normalize: true
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  dtype: float16
 
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  ```
config.json CHANGED
@@ -1,15 +1,15 @@
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  {
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- "_name_or_path": "vilm/Quyen-SE-v0.1",
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  "architectures": [
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  ],
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  "attention_dropout": 0.0,
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  # no parameters necessary for base model
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- - model: Qwen/Qwen1.5-0.5B-Chat
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  parameters:
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  density: 1
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  weight: 0.5
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  merge_method: ties
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- base_model: vilm/Quyen-SE-v0.1
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  parameters:
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  normalize: true
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- dtype: float16
 
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  parameters:
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  density: 1
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  weight: 0.5
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  merge_method: ties
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+ base_model: vilm/Quyen-Mini-v0.1
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  parameters:
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  normalize: true
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+ dtype: float16
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