Documented Nemotron SFT
According to the model card, the variant was further trained with supervised fine-tuning on a curated chat subset of nvidia/Nemotron-Post-Training-Dataset-v1.
Open Source Model Profile · cjvt
GaMS-9B-Instruct-Nemotron is a 9.24B-parameter Gemma2 text-generation variant from cjvt. According to the model card, it applies supervised fine-tuning to GaMS-9B-Instruct on Nemotron chat data.
The model is published by cjvt as a Gemma2 text-generation fine-tune. The captured configuration identifies Gemma2ForCausalLM with model type gemma2, and Safetensors metadata reports 9,241,705,984 parameters. According to the model card, it is a GaMS-9B-Instruct variant further trained with SFT on a curated chat subset of nvidia/Nemotron-Post-Training-Dataset-v1.
According to the model card, the variant was further trained with supervised fine-tuning on a curated chat subset of nvidia/Nemotron-Post-Training-Dataset-v1.
According to the model card, training data included about 80k Slovenian instruction-response pairs and about 20k English examples.
According to the model card, the instruction-tuned GaMS 9B was developed in a master thesis project by Timotej Petric within the PoVeJMo programme.
Card data records gemma, with hub tags repeating a license:gemma entry.
Source: cjvt/GaMS-9B-Instruct-Nemotron
Captured: Unknown. Processed: 2026-09-07T19:35:55.020253+00:00.
Model Card for GaMS-9B-Instruct-Nemotron GaMS-9B-Instruct-Nemotron is a variant of GaMS-9B-Instruct, further trained with supervised fine-tuning (SFT) on a curated subset of the chat part of nvidia/Nemotron-Post-Training-Dataset-v1 . The training data included ~80k Slovenian instruction–response pairs (based on translations with additional modifications to adjust identity and context) and ~20k English examples. This instruction tuned version of GaMS 9B was developed as part of a master thesis project by Timotej Petrič. Further details will follow. Acknowledgment The model was developed within the PoVeJMo research program (Adaptive N…
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