Chess Gemma 3 fine-tuned model with commentary generation

.gitattributes

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 *.zst filter=lfs diff=lfs merge=lfs -text
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README.md

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 # Chess Gemma Commentary 🎯♟️
 ### By NAKST Studio
 <br>
-Fine-tuned <strong>Gemma 3 270M</strong> model for generating chess move commentary, ELO predictions, and move classifications in <strong>14 languages</strong>.
+Fine-tuned <strong>Gemma 3 270M</strong> model for generating chess move commentary, ELO predictions, and move classifications in <strong>14 languages</strong>. Includes an optional .task file for lightweight mobile inference with flutter_gemma
 
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@@ -51,11 +51,11 @@ Fine-tuned <strong>Gemma 3 270M</strong> model for generating chess move comment
 
 - **Base Model:** Google Gemma 3 270M (270 Million Parameters)
 - **Fine-tuning Method:** LoRA (Low-Rank Adaptation) - Rank 8, Alpha 16
-- **Training Data:** 17,900+ chess positions with expert commentary
+- **Training Data:** 25,000+ chess positions with expert commentary
 - **Training Epochs:** 3
 - **Training Framework:** Unsloth + Hugging Face Transformers
 - **Hardware:** Google Colab T4 GPU
-- **Model Size:** 500MB (full) / 150MB (quantized q4_k_m)
+- **Model Size:** 500MB (full) / 270 mb .task (int 8 dynamic quantized)
 - **Languages Supported:** 14 (English, Hindi, Spanish, Mandarin Chinese, French, German, Portuguese, Russian, Japanese, Arabic, Korean, Turkish, Indonesian, Bengali)
 
 ## Capabilities

chess-commentary-model.task

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