universal_classifier_nouls is an open-weight model from Samir R., released under Gemma Terms of Use. Its published files total 35.4 MB.
This model is a fine-tuned version of google/embeddinggemma-300m on an unknown dataset.
Model Card
This model is a fine-tuned version of google/embeddinggemma-300m on an unknown dataset. It achieves the following results on the evaluation set: The following hyperparameters were used during training: - learningrate: 2e-05 - trainbatchsize: 16 - evalbatchsize: 16 - distributedtype: multi-GPU - numdevices: 2 - totaltrainbatchsize: 32 - totalevalbatchsize: 32 - lrschedulertype: linear - trainingsteps: 20000 - Transformers 5.17.0 - Pytorch 2.10.0+cu128 - Datasets 5.0.0 - Tokenizers 0.23.2
Excerpt from the card by Samir R., licensed gemma.
Identity and Version
- Repository
- sr5434/universal_classifier_nouls
- Publisher
- Samir R.
- Task
- Not stated by the source
- Modality
- Other
- Library
- transformers
- Parameters
- Not stated by the source
- Languages
- Not stated by the source
- Revision
- ca909fae9f4b90ebe8de866ccdf02f24c933602e
- First published
- 2026-09-26
- Last updated
- 2026-09-26
Files and Weights
7 files, 35.4 MB in total. The weights are 2 files totalling 2.0 MB in bin, safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| adapter_model.safetensors | Weights | 2.0 MB | c6147fbe197c |
| training_args.bin | Weights | 5.2 KB | d20150eb75e6 |
| adapter_config.json | Configuration | 1.0 KB | — |
| README.md | Documentation | 4.9 KB | — |
| .gitattributes | Repository | 1.6 KB | — |
| tokenizer.json | Tokenizer | 33.4 MB | f72c251c8f57 |
| tokenizer_config.json | Tokenizer | 705 B | — |
License and Download
- License
- gemma
- Access
- Open weights, no gate
- Download size
- 2.0 MB
Released by Samir R. through its official repository on Hugging Face.
Built From
- Derived from google/embeddinggemma-300m
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 2.0 MB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About universal_classifier_nouls
Can I use universal_classifier_nouls commercially?
Yes, with conditions. universal_classifier_nouls is released under Gemma Terms of Use. Gemma models are released under Google's Gemma Terms of Use, which permit commercial use and redistribution subject to the Gemma Prohibited Use Policy, whose restrictions must be passed on to anyone the model is distributed to.