---
base_model:
- jekunz/smollm-360m-cpt-fineweb-icelandic
- jekunz/smollm-360m-cpt-fineweb-swedish
- jekunz/smollm-360m-cpt-fineweb-danish
- jekunz/smollm-360m-cpt-fineweb-norwegian-bokmaal
- jekunz/smollm-360m-cpt-fineweb-norwegian-nynorsk
tags:
- merge
- mergekit
- lazymergekit
- jekunz/smollm-360m-cpt-fineweb-icelandic
- jekunz/smollm-360m-cpt-fineweb-swedish
- jekunz/smollm-360m-cpt-fineweb-danish
- jekunz/smollm-360m-cpt-fineweb-norwegian-bokmaal
- jekunz/smollm-360m-cpt-fineweb-norwegian-nynorsk
---

# smollm360m-da1-is1-nno1-nob1-sv1-ties

smollm360m-da1-is1-nno1-nob1-sv1-ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [jekunz/smollm-360m-cpt-fineweb-icelandic](https://huggingface.co/jekunz/smollm-360m-cpt-fineweb-icelandic)
* [jekunz/smollm-360m-cpt-fineweb-swedish](https://huggingface.co/jekunz/smollm-360m-cpt-fineweb-swedish)
* [jekunz/smollm-360m-cpt-fineweb-danish](https://huggingface.co/jekunz/smollm-360m-cpt-fineweb-danish)
* [jekunz/smollm-360m-cpt-fineweb-norwegian-bokmaal](https://huggingface.co/jekunz/smollm-360m-cpt-fineweb-norwegian-bokmaal)
* [jekunz/smollm-360m-cpt-fineweb-norwegian-nynorsk](https://huggingface.co/jekunz/smollm-360m-cpt-fineweb-norwegian-nynorsk)

## 🧩 Configuration

```yaml
models:
  - model: jekunz/smollm-360m-cpt-fineweb-icelandic
    parameters:
      density: 0.5
      weight: 1.0
  - model: jekunz/smollm-360m-cpt-fineweb-swedish
    parameters:
      density: 0.5
      weight: 1.0
  - model: jekunz/smollm-360m-cpt-fineweb-danish
    parameters:
      density: 0.5
      weight: 1.0
  - model: jekunz/smollm-360m-cpt-fineweb-norwegian-bokmaal
    parameters:
      density: 0.5
      weight: 1.0
  - model: jekunz/smollm-360m-cpt-fineweb-norwegian-nynorsk
    parameters:
      density: 0.5
      weight: 1.0
merge_method: ties
base_model: HuggingFaceTB/SmolLM2-360M-Instruct
parameters:
  normalize: true
dtype: float16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "jekunz/smollm360m-da1-is1-nno1-nob1-sv1-ties"
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"])
```