Mathieu-Thomas-JOSSET/gemma-3-finetune download history
Mathieu-Thomas-JOSSET/gemma-3-finetune is a 4.3B-parameter image text to text model by Mathieu-Thomas-JOSSET. In the last 30 days it was downloaded 19 times (10 in the last 7 days), and 128 times in total.
It ranks #431,347 on the Hub by monthly downloads and #18,762 among image text to text models.
It has 0 likes.
It is a fine-tune of unsloth/gemma-3-4b-it-unsloth-bnb-4bit.
2 models build on gemma-3-finetune: 2 quantized, 0 fine-tuned, 0 adapters and 0 merges. Together with the original they were downloaded 69 times in the last 30 days. See the gemma-3-finetune galaxy.
Most downloaded derivatives
- Mathieu-Thomas-JOSSET/gemma-3-finetune-Q4_K_M-GGUF (quantized), 34 downloads in 30 days
- Mathieu-Thomas-JOSSET/gemma-3-finetune-Q8_0-GGUF (quantized), 16 downloads in 30 days
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