typhoon-ai/thai_exam
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How to use vorkna/gemma-3N-finetune with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("vorkna/gemma-3N-finetune", dtype="auto")How to use vorkna/gemma-3N-finetune with Unsloth Studio:
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
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
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for vorkna/gemma-3N-finetune to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="vorkna/gemma-3N-finetune",
max_seq_length=2048,
)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# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for vorkna/gemma-3N-finetune to start chattingpip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="vorkna/gemma-3N-finetune",
max_seq_length=2048,
)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.
Install Unsloth Studio (macOS, Linux, WSL)
# 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