README.md

---
base_model:
- autoprogrammer/Llama-3.2-1B-Instruct-MGSM8K-sft1
- autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear
- Alelcv27/llama3.2-1b-math-code
- huyhoangt2201/llama-3.2-1b-sql_finetuned_billingual_3.0_merged
- meta-llama/Llama-3.2-1B
- meta-llama/Llama-3.2-1B-Instruct
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 linear [DARE](https://arxiv.org/abs/2311.03099) merge method using [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) as a base.

### Models Merged

The following models were included in the merge:
* [autoprogrammer/Llama-3.2-1B-Instruct-MGSM8K-sft1](https://huggingface.co/autoprogrammer/Llama-3.2-1B-Instruct-MGSM8K-sft1)
* [autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear](https://huggingface.co/autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear)
* [Alelcv27/llama3.2-1b-math-code](https://huggingface.co/Alelcv27/llama3.2-1b-math-code)
* [huyhoangt2201/llama-3.2-1b-sql_finetuned_billingual_3.0_merged](https://huggingface.co/huyhoangt2201/llama-3.2-1b-sql_finetuned_billingual_3.0_merged)
* [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: dare_linear
architectures: ["transformer"]
base_model: meta-llama/Llama-3.2-1B

models:
  - model: Alelcv27/llama3.2-1b-math-code
  - model: huyhoangt2201/llama-3.2-1b-sql_finetuned_billingual_3.0_merged
  - model: autoprogrammer/Llama-3.2-1B-Instruct-MGSM8K-sft1
  - model: meta-llama/Llama-3.2-1B-Instruct
  - model: autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear

parameters:
  density: 0.5
  weight: 1.0
  int8_mask: true
```