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README.md
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---
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base_model:
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- bunnycore/Qwen-2.5-3b-Evol-CoT
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- bunnycore/qwen-2.5-3b-lora_model
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- bunnycore/Qwen-2.5-3b-Evol-CoT
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- bunnycore/Qwen-2.5-3b-RP
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- bunnycore/Qwen-2.5-3b-Mix-Data-lora
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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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[](https://hf.co/QuantFactory)
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# QuantFactory/Qwen-2.5-3b-Evol-CoT-v2-GGUF
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This is quantized version of [bunnycore/Qwen-2.5-3b-Evol-CoT-v2](https://huggingface.co/bunnycore/Qwen-2.5-3b-Evol-CoT-v2) 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 [bunnycore/Qwen-2.5-3b-Evol-CoT](https://huggingface.co/bunnycore/Qwen-2.5-3b-Evol-CoT) 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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* [bunnycore/Qwen-2.5-3b-Evol-CoT](https://huggingface.co/bunnycore/Qwen-2.5-3b-Evol-CoT) + [bunnycore/qwen-2.5-3b-lora_model](https://huggingface.co/bunnycore/qwen-2.5-3b-lora_model)
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* [bunnycore/Qwen-2.5-3b-RP](https://huggingface.co/bunnycore/Qwen-2.5-3b-RP) + [bunnycore/Qwen-2.5-3b-Mix-Data-lora](https://huggingface.co/bunnycore/Qwen-2.5-3b-Mix-Data-lora)
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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: bunnycore/Qwen-2.5-3b-Evol-CoT+bunnycore/qwen-2.5-3b-lora_model
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parameters:
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density: 0.5
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weight: 0.5
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- model: bunnycore/Qwen-2.5-3b-RP+bunnycore/Qwen-2.5-3b-Mix-Data-lora
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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: bunnycore/Qwen-2.5-3b-Evol-CoT
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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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