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gemma-3-4b-isizulu-simple
Dineochiloane/gemma-3-4b-isizulu-simple
gemma-3-4b-isizulu-simple is a machine learning model from Dineochiloane. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as gemma.
Simple and focused isiZulu to English translation model using consistent prompting.
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At a glance
- Library
- peft
- License
- gemma
- Access
- Public
- Created
- Jul 31, 2025
- Updated
- Aug 5, 2025
- SHA
- 7620f71c
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Base models
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Model card
From the Hugging Face model README
Simple isiZulu→English Translation Model
Simple and focused isiZulu to English translation model using consistent prompting.
Model Details
- Base Model: google/gemma-3-4b-it
- Task: isiZulu → English Translation
- Training Examples: 50000
- Prompt Format: "Translate this from isiZulu to English: [text]"
Usage
from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel
# Load model
base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-it")
tokenizer = AutoTokenizer.from_pretrained("google/gemma-3-4b-it")
model = PeftModel.from_pretrained(base_model, "Dineochiloane/gemma-3-4b-isizulu-simple")
# Translate
messages = [{"role": "user", "content": "Translate this from isiZulu to English: Ngiyabonga kakhulu"}]
input_ids = tokenizer.apply_chat_template(messages, return_tensors="pt")
outputs = model.generate(input_ids, max_new_tokens=50, repetition_penalty=1.2)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)
Training Details
- LoRA Rank: 32
- LoRA Alpha: 32
- Learning Rate: 5e-05
- Epochs: 3
- Consistent Prompting: All training uses same format as evaluation
- Library
- peft
- License
- gemma
- Languages
- zu, en
- Created
- Jul 31, 2025
- Updated
- Aug 5, 2025