models:
  - model: automerger/YamShadow-7B
    parameters:
      density: 0.5
      weight: 0.5
  - model: yam-peleg/Experiment28-7B
    parameters:
      density: 0.5
      weight: 0.5
merge_method: dare_linear
base_model: automerger/YamShadow-7B
dtype: float16
random_seed: 0
    ```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "aaron-di/YamshadowExperiment28-7B-DareLinear"
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"])