Update README.md

README.md

@@ -9,8 +9,10 @@ pinned: false
 
 # Leela Chess Zero
 
-All transformer models here are "Chessformers" — encoder-only transformers with the Geometric Attention Bias described in the paper *Chessformer: A Unified Architecture for Chess Modeling*.
+All models here are "Chessformers" — encoder-only transformers with the Geometric Attention Bias described in the paper [Chessformer: A Unified Architecture for Chess Modeling](https://openreview.net/pdf?id=2ltBRzEHyd).
 
-They are written in the internal Lc0 format, which is compatible with the training code and the engine. They can be converted to ONNX through the `leela2onnx` command in releases of the Lc0 engine.
+They are expressed in the internal Lc0 format built on Protobuf (hence `.pb.gz`), which is compatible with the training code and the engine. They can be converted to ONNX through the `leela2onnx` command through the Lc0 binary, which we recommend for mechanistic interpretability research.
 
-**BT4** is our largest model at 190M and corresponds to Leela-CF. BT4 and BT3 were trained with SFT on a prior RL run, and the T1 models were distilled from a larger transformer.
+**BT4** is our largest model at 190M and corresponds to Leela-CF. BT4 and BT3 were trained with SFT on a prior RL run, and the T1 models were distilled from a larger transformer. The models range in skill from expert-level (T1-10L-256D) to grandmaster-plus-level (BT4) at Blitz time controls with greedy sampling of policy prediction.
+
+See also the [website](lczero.org), [Discord server](lczero.org/chat), and [a longest model list](https://lczero.org/dev/wiki/best-nets-for-lc0/) of the Leela Chess Zero project.