gemma_ft_lora is an open-weight model from Divakar, released under Apache License 2.0. Its published files total 121.8 MB.
This gemma2 model was trained 2x faster with Unsloth
Model Card
By Divakar, published under apache-2.0, revision da588a9ab748.
This gemma2 model was trained 2x faster with Unsloth
Read Divakar's full model card
Uploaded finetuned model
- Developed by: Divakarreddy
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2-2b-bnb-4bit
This gemma2 model was trained 2x faster with Unsloth
Identity and Version
- Repository
- Divakarreddy/gemma_ft_lora
- Publisher
- Divakar
- Task
- Not stated by the source
- Modality
- Other
- Library
- transformers
- Parameters
- Not stated by the source
- Languages
- en
- Revision
- da588a9ab748725389cac868a262d7019b51ff47
- First published
- 2026-10-18
- Last updated
- 2026-10-18
Files and Weights
7 files, 121.8 MB in total. The weights are 1 file totalling 83.1 MB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| adapter_model.safetensors | Weights | 83.1 MB | 3140c74eb33e |
| adapter_config.json | Configuration | 1.3 KB | — |
| README.md | Documentation | 559 B | — |
| .gitattributes | Repository | 1.6 KB | — |
| tokenizer.json | Tokenizer | 34.4 MB | 487cee872421 |
| tokenizer.model | Tokenizer | 4.2 MB | 61a7b147390c |
| tokenizer_config.json | Tokenizer | 46.5 KB | — |
License and Download
- License
- apache-2.0
- Access
- Open weights, no gate
- Download size
- 83.1 MB
Released by Divakar through its official repository on Hugging Face. Read the license.
Built From
- Derived from unsloth/gemma-2-2b-bnb-4bit
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 83.1 MB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About gemma_ft_lora
Can I use gemma_ft_lora commercially?
Yes. gemma_ft_lora is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.