Instructions to use PJMixers-Dev/google_gemma-3-4b-it-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PJMixers-Dev/google_gemma-3-4b-it-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-pt") model = PeftModel.from_pretrained(base_model, "PJMixers-Dev/google_gemma-3-4b-it-lora") - Notebooks
- Google Colab
- Kaggle
| base_model: | |
| - google/gemma-3-4b-pt | |
| - google/gemma-3-4b-it | |
| library_name: peft | |
| tags: | |
| - mergekit | |
| - peft | |
| # google_gemma-3-4b-it-lora | |
| This is a LoRA extracted from a language model. It was extracted using [mergekit](https://github.com/arcee-ai/mergekit). | |
| ## LoRA Details | |
| This LoRA adapter was extracted from [google/gemma-3-4b-it](https://huggingface.co/google/gemma-3-4b-it) and uses [google/gemma-3-4b-pt](https://huggingface.co/google/gemma-3-4b-pt) as a base. | |
| ### Parameters | |
| The following command was used to extract this LoRA adapter: | |
| ```sh | |
| mergekit-extract-lora --model google/gemma-3-4b-it --base-model google/gemma-3-4b-pt --out-path ./google_gemma-3-4b-it-lora --lora-merge-dtype float32 --cuda --max-rank=64 --skip-undecomposable --include-regex model.language_model.layers.[\d]+.(mlp|cross_attn|self_attn).(up|down|gate|q|k|v|o)_proj --exclude-regex vision_tower|multi_modal_projector|lm_head|embed_tokens | |
| ``` | |