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---
base_model:
- Qwen/Qwen2.5-14B-Instruct
- Lambent/alternate-instruct-qwen2.5-14B
library_name: transformers
tags:
- mergekit
- merge
language:
- zho
- eng
- fra
- spa
- por
- deu
- ita
- rus
- jpn
- kor
- vie
- tha
- ara
---
# qwenselfinstructalt
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
Same idea as Lambent/qwen2.5-14B-selfmerge-A, but training the base model on an ~20M token instruct and continued pretraining dataset first.
Hope is the lightweight instruction tuning might add some synergy with the original instruct.
Testing: eq-bench showed no syntax errors and result was 75.6984, closer to original instruct value of 76.9195 than selfmerge-A (which had 73.8068).
Subsets of mrfakename/Capybara-ShareGPT, abacusai/SystemChat-1.1, anthracite-org/nopm_claude_writing_fixed and fineweb-edu were used for the alternate training.
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct)
* [Lambent/alternate-instruct-qwen2.5-14B](https://huggingface.co/Lambent/alternate-instruct-qwen2.5-14B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: Lambent/alternate-instruct-qwen2.5-14B
merge_method: slerp
base_model: Qwen/Qwen2.5-14B-Instruct
parameters:
t:
- value: [0, 0, 0.3, 0.4, 0.5, 0.6, 0.5, 0.4, 0.3, 0, 0]
dtype: bfloat16
```
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