README.md

metadata

language: en
license: apache-2.0
tags:
  - fine-tuned
  - gemma
  - lora
  - gemma-garage
base_model: google/gemma-3n-E2B-it
pipeline_tag: text-generation

my-new-gemma-3n-model

Fine-tuned google/gemma-3n-E2B-it model from Gemma Garage

This model was fine-tuned using Gemma Garage, a platform for fine-tuning Gemma models with LoRA.

Model Details

• Base Model: google/gemma-3n-E2B-it
• Fine-tuning Method: LoRA (Low-Rank Adaptation)
• Training Platform: Gemma Garage
• Fine-tuned on: 2025-08-05

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("LucasFMartins/my-new-gemma-3n-model")
model = AutoModelForCausalLM.from_pretrained("LucasFMartins/my-new-gemma-3n-model")

# Generate text
inputs = tokenizer("Your prompt here", return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)

Training Details

This model was fine-tuned using the Gemma Garage platform with the following configuration:

• Request ID: b684d477-3ccc-4335-8041-f591fa86c699
• Training completed on: 2025-08-05 02:57:38 UTC

For more information about Gemma Garage, visit our GitHub repository.