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README.md
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- Qwen/Qwen2.5-
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###
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parameters:
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---
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base_model:
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- Qwen/Qwen2.5-Coder-7B-Instruct
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- Qwen/Qwen2.5-7B-Instruct
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- Qwen/Qwen2.5-Math-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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[](https://hf.co/QuantFactory)
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# QuantFactory/Qwen2.5-7B-Instruct-MathCoder-GGUF
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This is quantized version of [DeepMount00/Qwen2.5-7B-Instruct-MathCoder](https://huggingface.co/DeepMount00/Qwen2.5-7B-Instruct-MathCoder) created using llama.cpp
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# Original Model Card
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# merge
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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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## 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 [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) 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/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct)
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* [Qwen/Qwen2.5-Math-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Math-7B-Instruct)
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### Configuration
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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: Qwen/Qwen2.5-7B-Instruct
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#no parameters necessary for base model
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- model: Qwen/Qwen2.5-Math-7B-Instruct
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parameters:
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density: 0.5
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weight: 0.5
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- model: Qwen/Qwen2.5-Coder-7B-Instruct
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parameters:
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density: 0.5
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weight: 0.5
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merge_method: ties
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base_model: Qwen/Qwen2.5-7B-Instruct
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parameters:
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normalize: false
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int8_mask: true
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dtype: float16
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```
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