Model Card for Model ID

Trained on first 20000 rows of TR Subset

Inference Code

import torch
from unsloth import FastLanguageModel
from transformers import TextStreamer

def run_inference():
 model_id = "uisikdag/qwen3-4b-instruct-culturay"
 print(f"Loading model from Hub: {model_id}")

 # Load model and tokenizer from Hub
 model, tokenizer = FastLanguageModel.from_pretrained(
 model_name = model_id,
 max_seq_length = 2048,
 load_in_4bit = True,
 )
 FastLanguageModel.for_inference(model) # Enable native 2x faster inference

 messages = [
 {"role" : "user", "content" : "Soğuk havalarda nasıl giyinmeli?"}
 ]
 text = tokenizer.apply_chat_template(
 messages,
 tokenize = False,
 add_generation_prompt = True,
 )

 print("Generating response...")
 _ = model.generate(
 **tokenizer(text, return_tensors = "pt").to("cuda"),
 max_new_tokens = 1000,
 temperature = 0.7, top_p = 0.8, top_k = 20,
 streamer = TextStreamer(tokenizer, skip_prompt = True),
 )

if __name__ == "__main__":
 run_inference()