Responds in Polish when asked in Polish
Responds in English when asked in English
Follows cross-language instructions (e.g., "What is SEO? Odpowiedz po polsku.")
Covers 2,065 SEO terms and concepts across 21 categories

Training Data Composition

Type	Count	Description
Polish Q&A	2,065	Polish questions with Polish answers
English Q&A	2,065	English questions with English answers
Cross-language	2,065	Mixed language instructions
Polish (no system)	~1,000	Polish Q&A without system prompt
Instruction meta	~685	Short-form Polish instructions

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Kelnux/Qwen3-0.6B-seo-bilingual")
tokenizer = AutoTokenizer.from_pretrained("Kelnux/Qwen3-0.6B-seo-bilingual")

# Polish question
prompt = "<|im_start|>system\nJestes ekspertem SEO.<|im_end|>\n<|im_start|>user\nCo to jest E-E-A-T w SEO?<|im_end|>\n<|im_start|>assistant\n"

# English question
prompt = "<|im_start|>system\nYou are an SEO expert.<|im_end|>\n<|im_start|>user\nWhat is backlinking in SEO?<|im_end|>\n<|im_start|>assistant\n"

GGUF Versions

GGUF quantized versions available at: Kelnux/Qwen3-0.6B-seo-bilingual-GGUF

Ollama

To run with Ollama using the GGUF version, create a Modelfile and run:

bash

ollama create qwen3-seo-bilingual -f Modelfile
ollama run qwen3-seo-bilingual