Documented Gemma base
According to the model card, the model was finetuned from unsloth/gemma-3-1b-it-unsloth-bnb-4bit.
Open Source Model Profile · OmarioVICC
email-classifier
email-classifier is a 1.00B-parameter Gemma fine-tune from OmarioVICC. Its card documents finetuning from a Gemma 3 1B Unsloth base with TRL.
- Publisher
- OmarioVICC
- Task
- text-generation
- Model type
- gemma3_text
- License
- apache-2.0
- Library
- transformers
- Publication status
- Accepted · not indexed
Model overview
email-classifier is published by OmarioVICC as a text-generation model. The captured configuration identifies Gemma3ForCausalLM with about 1.00B parameters. According to the model card, it was finetuned from unsloth/gemma-3-1b-it-unsloth-bnb-4bit.
Recorded capabilities
1.00B Gemma3 configuration
The captured configuration identifies Gemma3ForCausalLM with 999,885,952 parameters.
Unsloth and TRL stack
The publisher states this gemma3_text model was trained with Unsloth and Hugging Face TRL.
Use cases in the source record
- Conversational text-generation experiments starting from the documented Unsloth Gemma 3 1B base.
Limitations and unknowns
- No evaluation results were extracted from this record.
- No label set, accuracy detail, context window, or classification-specific evaluation was extracted despite the email-classifier name.
- Provider state is historical snapshot data, not independently refreshed current availability.
Source and provenance
Source: OmarioVICC/email-classifier
Captured: Unknown. Processed: 2026-09-07T19:35:50.718812+00:00.
Uploaded finetuned model Developed by: OmarioVICC License: apache-2.0 Finetuned from model : unsloth/gemma-3-1b-it-unsloth-bnb-4bit This gemma3_text model was trained 2x faster with Unsloth and Huggingface's TRL library.
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