transformers safetensors mistral text-generation merge mergekit lazymergekit decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP senseable/WestLake-7B-v2 base_model:decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP base_model:senseable/WestLake-7B-v2 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- merge
- mergekit
- lazymergekit
- decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP
- senseable/WestLake-7B-v2
base_model:
- decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP
- senseable/WestLake-7B-v2
---

# WestOrcaDPO-7B-GTA

WestOrcaDPO-7B-GTA is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP](https://huggingface.co/decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP)
* [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2)

## 🧩 Configuration

```yaml
models:
  - model: decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP
    parameters:
      density: 0.5
      weight: 0.4
  - model: senseable/WestLake-7B-v2
    parameters:
      density: 0.5
      weight: 0.6
merge_method: task_arithmetic
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: True
  normalize: True
dtype: float16


```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "jsfs11/WestOrcaDPO-7B-GTA"
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"])
```