README.md

---
base_model:
- powermove72/Shark-1
- eren23/OGNO-7b-dpo-truthful
tags:
- merge
- mergekit
- lazymergekit
- powermove72/Shark-1
- eren23/OGNO-7b-dpo-truthful
---

# SharkOgno-7b-Task

SharkOgno-7b-Task is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [powermove72/Shark-1](https://huggingface.co/powermove72/Shark-1)
* [eren23/OGNO-7b-dpo-truthful](https://huggingface.co/eren23/OGNO-7b-dpo-truthful)

## 🧩 Configuration

```yaml
models:
  - model: powermove72/Shark-1
    parameters:
      weight: 0.4
  - model: eren23/OGNO-7b-dpo-truthful
    parameters:
      weight: 0.6
merge_method: task_arithmetic
base_model: eren23/OGNO-7b-dpo-truthful
parameters:
  normalize: true
tokenizer_source: union
dtype: float16
    ```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "powermove72/SharkOgno-7b-Task"
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"])
```