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nyuzbashev/chess-bot-3000-chess960-ft
chess-bot-3000-chess960-ft is a machine learning model from nyuzbashev. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Fine-tuned version of daavidhauser/chess-bot-3000-100m by David Hauser — a 106M-parameter Qwen2 causal language model pre-trained on ~100M Lichess games.
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From the Hugging Face model README
Fine-tuned version of daavidhauser/chess-bot-3000-100m by David Hauser — a 106M-parameter Qwen2 causal language model pre-trained on ~100M Lichess games.
This model was fine-tuned on Chess960 (Fischer Random Chess) games for 3 epochs as part of an experiment studying memorisation vs. principled play in chess language models (ECS7026P, Queen Mary University of London, 2026).
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("nyuzbashev/chess-bot-3000-chess960-ft")
tokenizer = AutoTokenizer.from_pretrained("nyuzbashev/chess-bot-3000-chess960-ft")
Original model: daavidhauser/chess-bot-3000-100m