Edit model card

Wiro AI: Turkish LLM (Beta)

Website: https://wiro.ai/

Welcome to the beta version of Wiro AI's Turkish Large Language Model (LLM). This model has been trained on a comprehensive dataset of over 1.5 million high-quality question-answer pairs, tailored specifically to the nuances of the Turkish language.

Key Features:

High-Quality Training Data: The model is built upon a diverse and meticulously curated dataset, ensuring accuracy and relevance in its responses.

State-of-the-Art Performance: While this is a beta version, it already demonstrates robust language understanding and generation capabilities, optimized for Turkish.

Ongoing Enhancements: We are continuously improving the model, and a more advanced, highly accurate version will be released soon. The upcoming release will include detailed documentation on the training process, model architecture, and performance metrics.

What’s Next:

Future Updates: The next version of the model will offer enhanced accuracy, efficiency, and expanded training coverage. Stay tuned for the full release with complete training details and further optimizations.

Downloads last month
3,558
Safetensors
Model size
8.03B params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for WiroAI/wiro-llm-tr-v0.1

Quantizations
1 model