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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+assets/kn1ght-bullet.png filter=lfs diff=lfs merge=lfs -text
+assets/tokenizer-comparison.png filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,34 @@
+Creative Commons Attribution 4.0 International (CC BY 4.0)
+
+Copyright 2026 InterwebAlchemy
+
+You are free to:
+
+  Share — copy and redistribute the material in any medium or format for any purpose,
+           even commercially.
+
+  Adapt — remix, transform, and build upon the material for any purpose, even
+           commercially.
+
+The licensor cannot revoke these freedoms as long as you follow the license terms.
+
+Under the following terms:
+
+  Attribution — You must give appropriate credit, provide a link to the license, and
+                indicate if changes were made. You may do so in any reasonable manner,
+                but not in any way that suggests the licensor endorses you or your use.
+
+  No additional restrictions — You may not apply legal terms or technological measures
+                               that legally restrict others from doing anything the
+                               license permits.
+
+Notices:
+
+  You do not have to comply with the license for elements of the material in the public
+  domain or where your use is permitted by an applicable exception or limitation.
+
+  No warranties are given. The license may not give you all of the permissions necessary
+  for your intended use. For example, other rights such as publicity, privacy, or moral
+  rights may limit how you use the material.
+
+Full license text: https://creativecommons.org/licenses/by/4.0/legalcode

README.md

@@ -1,7 +1,7 @@
 ---
 language:
   - en
-license: mit
+license: cc-by-4.0
 tags:
   - chess
   - pgn
@@ -10,10 +10,16 @@ tags:
   - game-playing
 library_name: transformers
 pipeline_tag: text-generation
+datasets:
+  - InterwebAlchemy/pgn-dataset
+  - InterwebAlchemy/pgn-dataset-including-special-tokens
+thumbnail: https://huggingface.co/InterwebAlchemy/kn1ght-bullet/resolve/main/kn1ght-bullet.png
 ---
 
 # kn1ght-bullet
 
+![kn1ght-bullet](kn1ght-bullet.png)
+
 A 4.3M parameter GPT trained to play chess by next-token prediction on PGN notation.
 Intended for use in chess tutoring applications via constrained decoding at inference time.
 
@@ -40,9 +46,11 @@ for the large majority of positions.
 
 ## Training Pipeline
 
-Training proceeded in three phases from the
+Training proceeded in three phases. Pre-training used
 [InterwebAlchemy/pgn-dataset-including-special-tokens](https://huggingface.co/datasets/InterwebAlchemy/pgn-dataset-including-special-tokens)
-dataset (~3.5M games, average ELO ~2240, spanning 1783–2006).
+(~3.5M games, average ELO ~2240, spanning 1783–2006), derived from the base
+[InterwebAlchemy/pgn-dataset](https://huggingface.co/datasets/InterwebAlchemy/pgn-dataset)
+which adds `[g_start]` / `[g_end]` game boundary tokens.
 
 **Phase 1 — Pre-training**
 200,000 steps on 100,000 games. The model learns PGN structure and develops opening