gemma_3_1B_reasoning_en_ft_v1

Model overview

gemma_3_1B_reasoning_en_ft_v1 is published by CALISTA-INDUSTRY as a Gemma3-based text-generation model. The captured configuration identifies Gemma3ForCausalLM with a gemma3_text model type, and Safetensors metadata reports 999885952 parameters. Hub tags record an Unsloth Gemma 3 1B base with GSM8K dataset tagging.

Recorded capabilities

Use cases in the source record

• English reasoning text workflows of the kind the publisher describes for combined visual and textual reasoning.
• Conversational experiments using the Transformers stack, matching the captured conversational tag.

Limitations and unknowns

• No evaluation results were extracted from this record.
• No context-window value was extracted from this record.
• Captured metadata records a Gemma license value while the card text mentions Apache 2.0; license terms should be confirmed before reuse.
• The card text names gemma_3_1B_reasoning_multimodal_en_ft_v2 while this record is the v1 fine-tune; lineage needs confirmation.
• The publisher notes the model may not generalize well to domains significantly different from training data.
• Provider state is historical snapshot data, not independently refreshed current availability.

Source and provenance

Source: CALISTA-INDUSTRY/gemma_3_1B_reasoning_en_ft_v1

Captured: Unknown. Processed: 2026-09-07T19:35:38.250592+00:00.

Model Card for CALISTA-INDUSTRY/gemma_3_1B_reasoning_multimodal_en_ft_v2 Model Details Developed by : Mohammad Yani & Rizky Sulaeman, Politeknik Negeri Indramayu Model type : Fine-tuned multimodal large language model Language(s) : English License : Apache 2.0 Finetuned from : gemma-3b Model Description gemma_3_1B_reasoning_multimodal_en_ft_v2 is a fine-tuned version of the Gemma3 model, enhanced for multimodal reasoning tasks. It integrates both visual and textual inputs to perform complex reasoning, making it suitable for applications that require understanding and interpreting combined modalities. Intended Uses & Limitations Inte…