---
tags:
- merge
- mergekit
- lazymergekit
- psmathur/orca_mini_v3_13b
- WizardLM/WizardLM-13B-V1.2
- garage-bAInd/Platypus2-13B
base_model:
- psmathur/orca_mini_v3_13b
- WizardLM/WizardLM-13B-V1.2
- garage-bAInd/Platypus2-13B
---

# holaa

holaa is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [psmathur/orca_mini_v3_13b](https://huggingface.co/psmathur/orca_mini_v3_13b)
* [WizardLM/WizardLM-13B-V1.2](https://huggingface.co/WizardLM/WizardLM-13B-V1.2)
* [garage-bAInd/Platypus2-13B](https://huggingface.co/garage-bAInd/Platypus2-13B)

## 🧩 Configuration

```yamlmodels:
  - model: psmathur/orca_mini_v3_13b
    parameters:
      weight: 1.0
  - model: WizardLM/WizardLM-13B-V1.2
    parameters:
      weight: 0.3
  - model: garage-bAInd/Platypus2-13B
    parameters:
      weight: 0.5
merge_method: linear
dtype: float16```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "mgv99/holaa"
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"])
```