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- ---
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- base_model:
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- - Qwen/Qwen2.5-7B
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- - mikun/qwen2.5-9k-lora-model
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- - mikun/qwen2.5-13k-lora-model
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- - Qwen/Qwen2.5-7B-Instruct
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- library_name: transformers
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- tags:
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- - mergekit
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- - merge
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-
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- ---
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- # merge
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-
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- This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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-
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- ## Merge Details
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- ### Merge Method
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-
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- This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) as a base.
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-
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- ### Models Merged
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-
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- The following models were included in the merge:
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- * [mikun/qwen2.5-9k-lora-model](https://huggingface.co/mikun/qwen2.5-9k-lora-model)
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- * [mikun/qwen2.5-13k-lora-model](https://huggingface.co/mikun/qwen2.5-13k-lora-model)
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- * [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)
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-
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- ### Configuration
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-
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- The following YAML configuration was used to produce this model:
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-
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- ```yaml
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- models:
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- - model: mikun/qwen2.5-9k-lora-model
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- parameters:
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- weight: 1
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- density: 1
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- - model: mikun/qwen2.5-13k-lora-model
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- parameters:
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- weight: 1
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- density: 1
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- - model: Qwen/Qwen2.5-7B-Instruct
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- parameters:
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- weight: 1
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- density: 1
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- merge_method: ties
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- base_model: Qwen/Qwen2.5-7B
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- parameters:
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- weight: 1
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- density: 1
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- normalize: true
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- int8_mask: true
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- tokenizer_source: mikun/qwen2.5-13k-lora-model
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- dtype: bfloat16
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-
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model:
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+ - Qwen/Qwen2.5-7B
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+ - mikun/qwen2.5-9k-lora-model
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+ - mikun/qwen2.5-13k-lora-model
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+ - Qwen/Qwen2.5-7B-Instruct
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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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+ language:
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+ - zho
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+ - eng
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+ - fra
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+ - spa
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+ - por
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+ - deu
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+ - ita
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+ - rus
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+ - jpn
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+ - kor
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+ - vie
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+ - tha
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+ - ara
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+ ---
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+ # merge
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+
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+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) as a base.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * [mikun/qwen2.5-9k-lora-model](https://huggingface.co/mikun/qwen2.5-9k-lora-model)
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+ * [mikun/qwen2.5-13k-lora-model](https://huggingface.co/mikun/qwen2.5-13k-lora-model)
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+ * [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ models:
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+ - model: mikun/qwen2.5-9k-lora-model
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+ parameters:
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+ weight: 1
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+ density: 1
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+ - model: mikun/qwen2.5-13k-lora-model
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+ parameters:
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+ weight: 1
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+ density: 1
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+ - model: Qwen/Qwen2.5-7B-Instruct
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+ parameters:
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+ weight: 1
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+ density: 1
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+ merge_method: ties
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+ base_model: Qwen/Qwen2.5-7B
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+ parameters:
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+ weight: 1
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+ density: 1
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+ normalize: true
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+ int8_mask: true
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+ tokenizer_source: mikun/qwen2.5-13k-lora-model
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+ dtype: bfloat16
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+
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+ ```