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---
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"])
``` |