README.md

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# DeepCode-7B-Aurora-v9

DeepCode-7B-Aurora-v9 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):

## 🧩 Configuration

```yaml
models:
  - model: DeepCode-7B-Aurora-v4
  - model: DeepCode-7B-Aurora-v5
  - model: DeepCode-7B-Aurora-v6
  - model: DeepCode-7B-Aurora-v7
  - model: DeepCode-7B-Aurora-v7
  - model: DeepCode-7B-Aurora-v6
  - model: DeepCode-7B-Aurora-v5
merge_method: model_stock
base_model: DeepCode-7B-Aurora-v4
dtype: float16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "ALBADDAWI/DeepCode-7B-Aurora-v9"
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"])
```