---
base_model: unsloth/Qwen3-1.7B
library_name: peft
license: mit
datasets:
- omar07ibrahim/Alpaca_Stanford_Azerbaijan
language:
- az
pipeline_tag: question-answering
tags:
- alpaca
---

# Model Card for Model ID



## Model Details

This model is a fine-tuned version of [`unsloth/Qwen3-1.7B`](https://huggingface.co/unsloth/Qwen3-1.7B) on a translated version of the **Alpaca Stanford dataset** in **Azerbaijani language**. 
The model is instruction-tuned to better follow prompts and generate relevant responses in Azerbaijani.


### Model Description


- **Language(s) (NLP):** Azerbaijani
- **License:** MIT
- **Finetuned from model:** unsloth/Qwen3-1.7B

## Uses

### Direct Use

- Instruction following in Azerbaijani
- Education, research, and experimentation with low-resource language LLMs
- Chatbots, task-oriented systems, language agents

## How to Get Started with the Model

Use the code below to get started with the model.

```python 
from huggingface_hub import login
from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel


login(token="")

tokenizer = AutoTokenizer.from_pretrained("unsloth/Qwen3-1.7B",)
base_model = AutoModelForCausalLM.from_pretrained(
    "unsloth/Qwen3-1.7B",
    device_map={"": 0}, token=""
)

model = PeftModel.from_pretrained(base_model,"Rustamshry/Qwen3-1.7B-Alpaca-Azerbaijani")


question = "Bir sifət əlavə edərək aşağıdakı cümləni yenidən yazın. Tələbə mürəkkəb anlayışları anlaya bildi. "

messages = [
    {"role" : "user", "content" : question}
]
text = tokenizer.apply_chat_template(
    messages,
    tokenize = False,
    add_generation_prompt = True, 
    enable_thinking = False, 
)

from transformers import TextStreamer
_ = model.generate(
    **tokenizer(text, return_tensors = "pt").to("cuda"),
    max_new_tokens = 2048,
    temperature = 0.7, 
    top_p = 0.8, 
    top_k = 20,
    streamer = TextStreamer(tokenizer, skip_prompt = True),
)
```

## Training Data

- **Dataset:** omar07ibrahim/Alpaca_Stanford_Azerbaijan


### Framework versions

- PEFT 0.14.0