README.md

---
license: apache-2.0
tags:
- merge
- leveldevai/TurdusBeagle-7B
- FelixChao/Severus-7B
---

# Sirius-10B

Sirius-10B is a merge of the following models:
* [leveldevai/TurdusBeagle-7B](https://huggingface.co/leveldevai/TurdusBeagle-7B)
* [FelixChao/Severus-7B](https://huggingface.co/FelixChao/Severus-7B)

## 🧩 Configuration

```yaml
slices:
  - sources:
    - model: leveldevai/TurdusBeagle-7B
      layer_range: [0, 24]
  - sources:
    - model: FelixChao/Severus-7B
      layer_range: [8, 32]
merge_method: passthrough
dtype: float16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "FelixChao/Sirius-10B"
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"])
```