README.md

---
tags:
- merge
- mergekit
- lazymergekit
- eren23/slerp-test-turdus-beagle
- udkai/Turdus
- 222gate/BrurryDog-7b-v0.1
base_model:
- eren23/slerp-test-turdus-beagle
- udkai/Turdus
- 222gate/BrurryDog-7b-v0.1
license: apache-2.0
---

# bleagle-7b-v0.1-test

bleagle-7b-v0.1-test is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [eren23/slerp-test-turdus-beagle](https://huggingface.co/eren23/slerp-test-turdus-beagle)
* [udkai/Turdus](https://huggingface.co/udkai/Turdus)
* [222gate/BrurryDog-7b-v0.1](https://huggingface.co/222gate/BrurryDog-7b-v0.1)

## 🧩 Configuration

```yaml
models:
  - model: eren23/slerp-test-turdus-beagle
    parameters:
      density: [1, 0.7, 0.1] # density gradient
      weight: 1.0
  - model: udkai/Turdus
    parameters:
      density: 0.5
      weight: [0, 0.3, 0.7, 1] # weight gradient
  - model: 222gate/BrurryDog-7b-v0.1
    parameters:
      density: 0.33
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: dare_ties
base_model: leveldevai/MarcBeagle-7B
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16
embed_slerp: true
tokenizer_source: union
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "222gate/bleagle-7b-v0.1-test"
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"])
```