aashish1904's picture
Upload README.md with huggingface_hub
d8a78f7 verified
|
raw
history blame
2.05 kB
---
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
---
[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
# 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
```