ties-finnish-estonian-norwegian-swedish-new

ties-finnish-estonian-norwegian-swedish-new is a merge of the following models using LazyMergekit:

• jekunz/smollm-360m-instruct-4b-finnish
• jekunz/smollm-360m-instruct-4b-estonian
• jekunz/smollm-360m-instruct-4b-norwegian-bokmal
• jekunz/smollm-360m-instruct-4b-swedish

🧩 Configuration

merge_method: ties
models:
  - model: jekunz/smollm-360m-instruct-4b-finnish
    parameters:
      density: 0.5
      weight: 1.0
  - model: jekunz/smollm-360m-instruct-4b-estonian
    parameters:
      density: 0.5
      weight: 1.0
  - model: jekunz/smollm-360m-instruct-4b-norwegian-bokmal
    parameters:
      density: 0.5
      weight: 1.0
  - model: jekunz/smollm-360m-instruct-4b-swedish
    parameters:
      density: 0.5
      weight: 1.0

merge_method: ties
base_model: HuggingFaceTB/SmolLM2-360M-Instruct

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "jekunz/ties-finnish-estonian-norwegian-swedish-new"
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"])