---
base_model:
- crestf411/nemo-sunfall-v0.6.1
- unsloth/Mistral-Nemo-Instruct-2407
- RozGrov/NemoDori-v0.1-12B-MS
tags:
- merge
- mergekit
- lazymergekit
- crestf411/nemo-sunfall-v0.6.1
- unsloth/Mistral-Nemo-Instruct-2407
- RozGrov/NemoDori-v0.1-12B-MS
---

# NemoDori-v0.2-12B-MN-BT

NemoDori-v0.2-12B-MN-BT is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [crestf411/nemo-sunfall-v0.6.1](https://huggingface.co/crestf411/nemo-sunfall-v0.6.1)
* [unsloth/Mistral-Nemo-Instruct-2407](https://huggingface.co/unsloth/Mistral-Nemo-Instruct-2407)
* [RozGrov/NemoDori-v0.1-12B-MS](https://huggingface.co/RozGrov/NemoDori-v0.1-12B-MS)

## 🧩 Configuration

```yaml
models:
  - model: crestf411/nemo-sunfall-v0.6.1
    parameters:
      weight: 0.5
  - model: unsloth/Mistral-Nemo-Instruct-2407
    parameters:
      weight: 0.3
  - model: RozGrov/NemoDori-v0.1-12B-MS
    parameters:
      weight: 1.0
merge_method: breadcrumbs_ties
base_model: RozGrov/NemoDori-v0.1-12B-MS
parameters:
    density: 0.95
    gamma: 0.01
dtype: float16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "RozGrov/NemoDori-v0.2-12B-MN-BT"
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"])
```