ChessLlama
Generated by DALL-E 3.
Model Details
This pre-trained model has been trained on the Llama architecture with the games of grand master chess players.
Model Description
- Developed by: Talha Rüzgar Akkuş
- Data Format: Universal Chess Interface (UCI)
- Model type: Llama Architecture
- License: apache-2.0
How to Get Started with the Model
This notebook is created to test the model's capabilities. You can use it to evaluate performance of the model.
Challenge
You can use this model or dataset to train your own models as well, and challenge me in this new field.
Training Details
Training Data
Training Procedure
This model was fully trained from scratch with random weights. It was created from the ground up with a new configuration and model, and trained using the Hugging Face Trainer for 1200 steps. There is still potential for further training. You can see the training code below.
- Downloads last month
- 28
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.