merge_method: ties
slices:
  - sources:
      - model: jekunz/smollm-360m-instruct-4b-czech
        parameters:
          weight: 1.0
          density: 0.5
        layer_range: [0, -1]
      - model: jekunz/smollm-360m-instruct-4b-german
        parameters:
          weight: 1.0
          density: 0.5
        layer_range: [0, -1]
      - model: jekunz/smollm-360m-instruct-4b-polish
        parameters:
          weight: 1.0
          density: 0.5
        layer_range: [0, -1]
      - model: HuggingFaceTB/SmolLM2-360M-Instruct
        parameters:
          weight: 0.0
        layer_range: [0, -1]

base_model: HuggingFaceTB/SmolLM2-360M-Instruct
dtype: float16

💻 Usage

python

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "jekunz/ties-czech-german-polish"
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"])