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---

base_model:
- rombodawg/Rombos-LLM-V2.5-Qwen-7b
- fblgit/cybertron-v4-qw7B-UNAMGS
- bunnycore/Qwen-2.1-7b-Persona-lora_model
- fblgit/cybertron-v4-qw7B-MGS
- bunnycore/Qwen-2.1-7b-Persona-lora_model
library_name: transformers
tags:
- mergekit
- merge


---

[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)


# QuantFactory/CyberCore-Qwen-2.1-7B-GGUF
This is quantized version of [bunnycore/CyberCore-Qwen-2.1-7B](https://huggingface.co./bunnycore/CyberCore-Qwen-2.1-7B) 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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [rombodawg/Rombos-LLM-V2.5-Qwen-7b](https://huggingface.co./rombodawg/Rombos-LLM-V2.5-Qwen-7b) as a base.

### Models Merged

The following models were included in the merge:
* [fblgit/cybertron-v4-qw7B-UNAMGS](https://huggingface.co./fblgit/cybertron-v4-qw7B-UNAMGS) + [bunnycore/Qwen-2.1-7b-Persona-lora_model](https://huggingface.co./bunnycore/Qwen-2.1-7b-Persona-lora_model)
* [fblgit/cybertron-v4-qw7B-MGS](https://huggingface.co./fblgit/cybertron-v4-qw7B-MGS) + [bunnycore/Qwen-2.1-7b-Persona-lora_model](https://huggingface.co./bunnycore/Qwen-2.1-7b-Persona-lora_model)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: fblgit/cybertron-v4-qw7B-MGS+bunnycore/Qwen-2.1-7b-Persona-lora_model
    parameters:
      density: 0.5
      weight: 0.5
  - model: fblgit/cybertron-v4-qw7B-UNAMGS+bunnycore/Qwen-2.1-7b-Persona-lora_model
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: rombodawg/Rombos-LLM-V2.5-Qwen-7b
parameters:
  normalize: false
  int8_mask: true
dtype: float16
```