How to use from
Unsloth Studio
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for vorkna/gemma-3N-finetune to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for vorkna/gemma-3N-finetune to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for vorkna/gemma-3N-finetune to start chatting
Load model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="vorkna/gemma-3N-finetune",
    max_seq_length=2048,
)
Quick Links

Uploaded finetuned model

  • Developed by: vorkna
  • License: apache-2.0
  • Finetuned from model : unsloth/gemma-3n-e4b-it-unsloth-bnb-4bit

This model was trained on scb10x/thai_exam on purpose of getting better score on Thai LLM Leaderboard in Thai Exam category.

This gemma3n model was trained 2x faster with Unsloth and Huggingface's TRL library.

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Safetensors
Model size
8B params
Tensor type
BF16
·
F16
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Dataset used to train vorkna/gemma-3N-finetune