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Qwen-2.5-3b-Evol-CoT-GGUF

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Qwen-2.5-3b-Evol-CoT-GGUF
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---

base_model:
- bunnycore/Qwen-2.5-3b-RP
- Replete-AI/Replete-LLM-V2.5-Qwen-3b
- bunnycore/Qwen-2.5-3b-Mix-Data-lora
- bunnycore/Qwen-2.5-3b-RP
- bunnycore/Qwen-2.5-3b-Mix-Data-lora
library_name: transformers
tags:
- mergekit
- merge


---

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# QuantFactory/Qwen-2.5-3b-Evol-CoT-GGUF
This is quantized version of [bunnycore/Qwen-2.5-3b-Evol-CoT](https://huggingface.co./bunnycore/Qwen-2.5-3b-Evol-CoT) created using llama.cpp

# Original Model Card

# merge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [bunnycore/Qwen-2.5-3b-RP](https://huggingface.co./bunnycore/Qwen-2.5-3b-RP) as a base.

### Models Merged

The following models were included in the merge:
* [Replete-AI/Replete-LLM-V2.5-Qwen-3b](https://huggingface.co./Replete-AI/Replete-LLM-V2.5-Qwen-3b) + [bunnycore/Qwen-2.5-3b-Mix-Data-lora](https://huggingface.co./bunnycore/Qwen-2.5-3b-Mix-Data-lora)
* [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)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Replete-AI/Replete-LLM-V2.5-Qwen-3b+bunnycore/Qwen-2.5-3b-Mix-Data-lora
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/Qwen-2.5-3b-RP+bunnycore/Qwen-2.5-3b-Mix-Data-lora
    parameters:
      density: 0.5
      weight: 0.5

merge_method: dare_ties
base_model: bunnycore/Qwen-2.5-3b-RP
parameters:
  normalize: false
  int8_mask: true
dtype: float16

```