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Slayer139-1.02

small-language-model

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@@ -10,7 +10,7 @@ datasets: [SlayerLab/gollem-v5-arcmix-9b, SlayerLab/minimal-en-corpus-5b, Huggin
 A small decoder-only English language model (139.3M parameters) by Fabryka AI, built for the Glint Tiny-ML leaderboard (≤150M parameters). It is Slayer139 1.01's pretrained base, given a short continued pretraining and a new ARC fine-tune.
-**Author:** Arkadiusz Słota (Fabryka AI / SlayerLab). Training, evaluation and safety gates were run by the Fabryka AI agent team under his direction.
 **Identity:** Slayer139 1.02 is the training checkpoint with sha256 `50f07cab0e1eedb4b3c1e65119a53fb6105f9c6e1fe7984b2b604c77c0c5ec7c` (internal run name POL4-CEP s1491). No other checkpoint is published under this name.

 A small decoder-only English language model (139.3M parameters) by Fabryka AI, built for the Glint Tiny-ML leaderboard (≤150M parameters). It is Slayer139 1.01's pretrained base, given a short continued pretraining and a new ARC fine-tune.
+**Author:** Arkadiusz Słota (Fabryka AI / SlayerLab)
 **Identity:** Slayer139 1.02 is the training checkpoint with sha256 `50f07cab0e1eedb4b3c1e65119a53fb6105f9c6e1fe7984b2b604c77c0c5ec7c` (internal run name POL4-CEP s1491). No other checkpoint is published under this name.