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Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
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Qwen-2.5-3b-RP - AWQ
- Model creator: https://huggingface.co/bunnycore/
- Original model: https://huggingface.co/bunnycore/Qwen-2.5-3b-RP/
Original model description:
---
base_model:
- Replete-AI/Replete-LLM-V2.5-Qwen-3b
- bunnycore/qwen-2.5-3b-lora_model
- unsloth/Qwen2.5-3B-Instruct
- bunnycore/qwen-2.5-3b-lora_model
- Replete-AI/Replete-LLM-V2.5-Qwen-3b
library_name: transformers
tags:
- mergekit
- merge
---
# 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 [Replete-AI/Replete-LLM-V2.5-Qwen-3b](https://huggingface.co/Replete-AI/Replete-LLM-V2.5-Qwen-3b) 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-lora_model](https://huggingface.co/bunnycore/qwen-2.5-3b-lora_model)
* [unsloth/Qwen2.5-3B-Instruct](https://huggingface.co/unsloth/Qwen2.5-3B-Instruct) + [bunnycore/qwen-2.5-3b-lora_model](https://huggingface.co/bunnycore/qwen-2.5-3b-lora_model)
### 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-lora_model
parameters:
density: 0.5
weight: 0.5
- model: unsloth/Qwen2.5-3B-Instruct+bunnycore/qwen-2.5-3b-lora_model
parameters:
density: 0.5
weight: 0.5
merge_method: dare_ties
base_model: Replete-AI/Replete-LLM-V2.5-Qwen-3b
parameters:
normalize: false
int8_mask: true
dtype: float16
```