---
base_model:
- Trappu/Nemo-Picaro-fixed
- anthracite-org/magnum-v2-12b
tags:
- merge
- mergekit
- lazymergekit
- Trappu/Nemo-Picaro-fixed
- anthracite-org/magnum-v2-12b
---

# Magnum-Picaro-0.7-v2-12b

Magnum-Picaro-0.7-v2-12b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Trappu/Nemo-Picaro-fixed](https://huggingface.co/Trappu/Nemo-Picaro-fixed)
* [anthracite-org/magnum-v2-12b](https://huggingface.co/anthracite-org/magnum-v2-12b)

## 🧩 Configuration

```yaml
models:
    - model: Trappu/Nemo-Picaro-fixed
      parameters:
        density: 0.7
        weight: 0.5
    - model: anthracite-org/magnum-v2-12b
      parameters:
        density: 0.3
        weight: 0.5

merge_method: ties
base_model: Trappu/Nemo-Picaro-fixed
parameters:
    normalize: true
    int8_mask: true
dtype: bfloat16

```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Trappu/Magnum-Picaro-0.7-v2-12b"
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"])
```