Fine-tuned on
klei1/bleta-sq-dataset-v1 — a curated Albanian language instruction dataset covering conversation, grammar, reasoning, and general knowledge.
1from transformers import AutoModelForCausalLM, AutoTokenizer
2import torch
3
4model_id = "klei1/bleta-sq-2b"
5
6tokenizer = AutoTokenizer.from_pretrained(model_id)
7model = AutoModelForCausalLM.from_pretrained(
8 model_id,
9 torch_dtype=torch.bfloat16,
10 device_map="auto"
11)
12
13messages = [
14 {"role": "user", "content": "Cila eshte kryeqyteti i Shqiperise?"}
15]
16
17inputs = tokenizer.apply_chat_template(
18 messages,
19 return_tensors="pt",
20 add_generation_prompt=True
21).to(model.device)
22
23outputs = model.generate(
24 inputs,
25 max_new_tokens=512,
26 temperature=0.7,
27 top_p=0.95,
28 repetition_penalty=1.2,
29 do_sample=True,
30)
31
32response = tokenizer.decode(outputs[0][inputs.shape[-1]:], skip_special_tokens=True)
33print(response)
1@model{bleta_sq_2b_2026,
2 title = {Bleta SQ 2B: Gemma-4 Fine-tuned for Albanian Language},
3 author = {klei1},
4 year = {2026},
5 url = {https://huggingface.co/klei1/bleta-sq-2b}
6}
This model is released under the
Apache 2.0 License.
