Hajibekov 001 12B Model

Overview

The Hajibekov 001 model is an advanced neural network model developed by OpenBetaX. It is part of the cutting-edge line of models designed to push the boundaries of natural language understanding and generation. This model is trained on an exclusive dataset curated by OpenBetaX, ensuring high performance and relevance across a range of tasks.

Model Description

The Hajibekov 001 12B model leverages a massive 9 billion parameters to achieve state-of-the-art performance in various natural language processing tasks. This includes text generation, translation, summarization, and more. The model's extensive training dataset, which is proprietary to OpenBetaX, provides a strong foundation for its advanced capabilities and accuracy.

Usage

To use the Hajibekov 001 12B model, you can integrate it into your application via the Hugging Face Transformers library. Below is an example of how to use the model for text generation:

from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "doofz/Hajibeyov-12B-bnb-4bit"
model = AutoModelForCausalLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)

input_text = "Sən kimsən?"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)

generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(generated_text)

Training Data

The model was trained on an exclusive dataset developed by OpenBetaX, which includes diverse and extensive text sources to enhance its performance across different domains.

Evaluation

The Hajibekov 001 9B model has been rigorously evaluated using various benchmarks and is designed to deliver high-quality results in natural language processing tasks.

License

This model is provided under the OpenBetaX License, which allows for both research and commercial use. Please refer to the license file for more details.

Contact

For any inquiries or support related to the Hajibekov 001 9B model, please contact doofz@openbeta.net.