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base_model:
- jinaai/ReaderLM-v2
- Qwen/Qwen2.5-1.5B-Instruct
library_name: transformers
tags:
- mergekit
- merge
language:
- zho
- eng
- fra
- spa
- por
- deu
- ita
- rus
- jpn
- kor
- vie
- tha
- ara
---
# merged3
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 [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
### Models Merged
The following models were included in the merge:
* [jinaai/ReaderLM-v2](https://huggingface.co/jinaai/ReaderLM-v2)
* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [0, 3] # Covering all 28 layers (0 to 27)
- model: jinaai/ReaderLM-v2
layer_range: [0, 3] # Ensure this model has a similar layer structure
merge_method: slerp
base_model: jinaai/ReaderLM-v2
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5 # Fallback for any tensors not covered by the filters
dtype: bfloat16 # Or float16, depending on your preference and model dtype
```
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