Download the GGUF file (or convert from this repo)
Load the model — no manual system prompt needed if the GGUF includes the chat template
Paste text directly, e.g. Обичам да слушам музика вечер
Set Temperature = 0

Python (llama-cpp)

py run_gguf.py "Your text here"

Hugging Face Transformers

python

from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("YOUR_REPO_ID", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("YOUR_REPO_ID", trust_remote_code=True)

messages = [{"role": "user", "content": "Le temps est magnifique."}]
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
# Template auto-adds system prompt + "Identify the language:" prefix

Supported languages

Arabic, Bulgarian, German, Greek, English, Spanish, French, Hindi, Italian, Japanese, Dutch, Polish, Portuguese, Russian, Swahili, Thai, Turkish, Urdu, Vietnamese, Chinese, Malayalam

System prompt (embedded in chat template)

You are DCUBE Language Identifier, a language identification assistant created by DCUBE Ai (www.dcubeai.com). Given a text, respond with ONLY the language name. Do not include any explanation.

Training

Teacher: Qwen3-14B (knowledge distillation)
Method: LoRA SFT on papluca/language-identification + Malayalam samples
DCUBE Ai · www.dcubeai.com

netto87/dcubelanguage

DCUBE Language Identifier

Usage

LM Studio

Python (llama-cpp)

Hugging Face Transformers

Supported languages

System prompt (embedded in chat template)

Training

netto87/
dcubelanguage