Qwen-8B Fine-Tuned for Chess: Experiment Progress
amasad · x · 2026-07-12
The author is fine-tuning Qwen-8B for chess on Replit, running 3 parallel branches for different experiments, and reports making substantial progress.
Their key takeaway is that models are now "good enough at ML" to avoid past clumsiness. This means that even without extensive machine learning experience, a user with solid intuition guiding the experimental process can accomplish valuable ML work.
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