README.md

---
base_model:
- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
- Qwen/Qwen2.5-7B-Instruct
- Qwen/Qwen2.5-7B-Instruct-1M
library_name: transformers
tags:
- mergekit
- merge

---


# **Qwen2.5-7B-DeepSeek-R1-1M**

This model is a merged pre-trained language model created using MergeKit with the TIES merge method. It uses **Qwen/Qwen2.5-7B-Instruct-1M** as the base and combines **deepseek-ai/DeepSeek-R1-Distill-Qwen-7B** and **Qwen/Qwen2.5-7B-Instruct** with equal weight and density. The merge configuration includes normalization, int8 masking, and `bfloat16` precision for optimized performance.
# **Merge**

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

# **Merge Method**

This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [Qwen/Qwen2.5-7B-Instruct-1M](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-1M) as a base.

# **Models Merged**

The following models were included in the merge:
* [deepseek-ai/DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B)
* [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)

# **Configuration**

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B-Instruct-1M
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
```