README.md

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

# DeepSeek-7B-1M

DeepSeek-7B-1M is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Qwen/Qwen2.5-7B-Instruct-1M](https://huggingface.co./Qwen/Qwen2.5-7B-Instruct-1M)
* [deepseek-ai/DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co./deepseek-ai/DeepSeek-R1-Distill-Qwen-7B)

## 🧩 Configuration

```yaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct-1M
    parameters:
      weight: 0.5
  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
    parameters:
      weight: 0.5
merge_method: linear
dtype: float16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "yasserrmd/DeepSeek-7B-1M"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
```