gemma_3_lora is an open-weight model from Saifullah Khwaja, released under Apache License 2.0. Its published files total 170.3 MB.
This gemma3 model was trained 2x faster with Unsloth
Model Card
By Saifullah Khwaja, published under apache-2.0, revision fb2419b16d06.
This gemma3 model was trained 2x faster with Unsloth
Read Saifullah Khwaja's full model card
Uploaded finetuned model
- Developed by: skhwaja
- License: apache-2.0
- Finetuned from model : unsloth/gemma-3-12b-it-unsloth-bnb-4bit
This gemma3 model was trained 2x faster with Unsloth
Identity and Version
- Repository
- skhwaja/gemma_3_lora
- Publisher
- Saifullah Khwaja
- Task
- Not stated by the source
- Modality
- Other
- Library
- transformers
- Parameters
- Not stated by the source
- Languages
- en
- Revision
- fb2419b16d06ecc0c9db12e1981aacb075ca7790
- First published
- 2026-10-17
- Last updated
- 2026-10-17
Files and Weights
12 files, 170.3 MB in total. The weights are 1 file totalling 131.0 MB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| adapter_model.safetensors | Weights | 131.0 MB | c910fff3652f |
| adapter_config.json | Configuration | 1.6 KB | — |
| added_tokens.json | Configuration | 35 B | — |
| preprocessor_config.json | Configuration | 570 B | — |
| processor_config.json | Configuration | 70 B | — |
| special_tokens_map.json | Configuration | 670 B | — |
| README.md | Documentation | 578 B | — |
| chat_template.jinja | Other | 1.5 KB | — |
| .gitattributes | Repository | 1.6 KB | — |
| tokenizer.json | Tokenizer | 33.4 MB | 4667f2089529 |
| tokenizer.model | Tokenizer | 4.7 MB | 1299c11d7cf6 |
| tokenizer_config.json | Tokenizer | 1.2 MB | — |
License and Download
- License
- apache-2.0
- Access
- Open weights, no gate
- Download size
- 131.0 MB
Released by Saifullah Khwaja through its official repository on Hugging Face. Read the license.
Built From
- Derived from unsloth/gemma-3-12b-it-unsloth-bnb-4bit
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 131.0 MB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About gemma_3_lora
Can I use gemma_3_lora commercially?
Yes. gemma_3_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.