
# StrangeMerges_9-7B-dare_ties

StrangeMerges_9-7B-dare_ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [leveldevai/TurdusBeagle-7B](https://huggingface.co/leveldevai/TurdusBeagle-7B)
* [samir-fama/FernandoGPT-v1](https://huggingface.co/samir-fama/FernandoGPT-v1)

## 🧩 Configuration

```yaml
models:
  - model: Gille/StrangeMerges_8-7B-slerp
    # no parameters necessary for base model
  - model: leveldevai/TurdusBeagle-7B
    parameters:
      density: 0.5
      weight: 0.4
  - model: samir-fama/FernandoGPT-v1
    parameters:
      density: 0.5
      weight: 0.6
merge_method: dare_ties
base_model: Gille/StrangeMerges_8-7B-slerp
parameters:
  normalize: true
dtype: float16

```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Gille/StrangeMerges_9-7B-dare_ties"
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"])
```
{"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "leveldevai/TurdusBeagle-7B", "samir-fama/FernandoGPT-v1"], "base_model": ["leveldevai/TurdusBeagle-7B", "samir-fama/FernandoGPT-v1"]}
transformers safetensors mistral text-generation merge mergekit lazymergekit leveldevai/TurdusBeagle-7B samir-fama/FernandoGPT-v1 base_model:leveldevai/TurdusBeagle-7B base_model:samir-fama/FernandoGPT-v1 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us