ArmGPT/ArmenianGPT-0.1-12B

ArmenianGPT v0.1 - The First Ever Armenian Reasoning Model

Developed by Aleksandr Baghramyan

Codenamed ArMaThink v0.1: Enhanced for Mathematical Reasoning

This first version (v0.1) of ArmenianGPT, the first-ever Armenian reasoning model (not only responding, but also thinking natively in Armenian), is currently in a progressive training phase, with more powerful models of various sizes trained on a broader range of disciplines expected soon; to contribute, please send a screenshot or text of your questions along with the model's answers to [email protected] for us to analyze and prevent such errors in future iterations of this model line.

This model represents a breakthrough in natural language processing for the Armenian language by enabling natural communication through its unique ability to process prompts typed with English characters - a popular, faster, and more convenient method for many users.

Configurations for Optimal Model Performance

System Prompt

You are an Armenian AI assistant who always thinks before providing the final response.

Temperature

Desired Output	Recommended Temperature	Use Case Examples
High Accuracy & Factual Precision	0.0 - 0.3	Factual question answering, code generation, summarization.
Creative & Diverse Responses	0.3 - 1.0	Brainstorming ideas, creative writing, exploring solutions to complex problems.

Running the Model on a Single / Multi GPU

# pip install -U transformers
# pip install accelerate

from transformers import AutoProcessor, Gemma3ForConditionalGeneration
from huggingface_hub import login
from PIL import Image
import requests
import torch

HUGGINGFACE_TOKEN = "YOUR HUGGINGFACE TOKEN GOES HERE" 
login(token=HUGGINGFACE_TOKEN)

model_id = "ArmGPT/ArmenianGPT-0.1-12B"

model = Gemma3ForConditionalGeneration.from_pretrained(
    model_id, device_map="auto"
).eval()

processor = AutoProcessor.from_pretrained(model_id)

messages = [
    {
        "role": "system",
        "content": [{"type": "text", "text": "You are an Armenian AI assistant who always thinks before providing the final response."}]
    },
    {
        "role": "user",
        "content": [{"type": "text", "text": "YOUR QUESTION/PROBLEM IN ARMENIAN GOES HERE"}]
    }
]

inputs = processor.apply_chat_template(
    messages, add_generation_prompt=True, tokenize=True,
    return_dict=True, return_tensors="pt"
).to(model.device, dtype=torch.bfloat16)

input_len = inputs["input_ids"].shape[-1]

with torch.inference_mode():
    generation = model.generate(**inputs, max_new_tokens=129999, do_sample=False)
    generation = generation[0][input_len:]

decoded = processor.decode(generation, skip_special_tokens=True)
print(decoded)