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1models:
2 - model: jekunz/smollm-360m-cpt-fineweb-icelandic
3 parameters:
4 density: 0.5
5 weight: 1.0
6 - model: jekunz/smollm-360m-cpt-fineweb-swedish
7 parameters:
8 density: 0.5
9 weight: 0.5
10 - model: jekunz/smollm-360m-cpt-fineweb-danish
11 parameters:
12 density: 0.5
13 weight: 0.5
14 - model: jekunz/smollm-360m-cpt-fineweb-norwegian-bokmaal
15 parameters:
16 density: 0.5
17 weight: 0.5
18 - model: jekunz/smollm-360m-cpt-fineweb-norwegian-nynorsk
19 parameters:
20 density: 0.5
21 weight: 0.5
22merge_method: ties
23base_model: HuggingFaceTB/SmolLM2-360M-Instruct
24parameters:
25 normalize: true
26dtype: float161!pip install -qU transformers accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "jekunz/smollm360m-da05-is1-nno05-nob05-sv05-ties"
8messages = [{"role": "user", "content": "What is a large language model?"}]
9
10tokenizer = AutoTokenizer.from_pretrained(model)
11prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
12pipeline = transformers.pipeline(
13 "text-generation",
14 model=model,
15 torch_dtype=torch.float16,
16 device_map="auto",
17)
18
19outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
20print(outputs[0]["generated_text"])