
# frankencup-dpo

frankencup-dpo is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [bardsai/jaskier-7b-dpo-v5.6](https://huggingface.co/bardsai/jaskier-7b-dpo-v5.6)
* [paulml/DPOB-INMTOB-7B](https://huggingface.co/paulml/DPOB-INMTOB-7B)

## Benchamrks

| Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
|-------|---------|-----|-----------|------|------------|------------|-------|
| mayacinka/frankencup-dpo | 48.26 | 42.66 | 60.55 | 62.21 | 50.72 | 73.4 | 0 |


## 🧩 Configuration

```yaml
slices:
  - sources:
    - model: bardsai/jaskier-7b-dpo-v5.6
      layer_range: [0, 32]
  - sources:
    - model: paulml/DPOB-INMTOB-7B
      layer_range: [0, 32]
merge_method: passthrough
dtype: bfloat16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "mayacinka/frankencup-dpo"
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", "bardsai/jaskier-7b-dpo-v5.6", "paulml/DPOB-INMTOB-7B"], "base_model": ["bardsai/jaskier-7b-dpo-v5.6", "paulml/DPOB-INMTOB-7B"]}
transformers safetensors mistral text-generation merge mergekit lazymergekit bardsai/jaskier-7b-dpo-v5.6 paulml/DPOB-INMTOB-7B base_model:bardsai/jaskier-7b-dpo-v5.6 base_model:paulml/DPOB-INMTOB-7B license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us