How to use from
Unsloth StudioInstall 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 wizardoftrap/functiongemma-270m-it-mobile-actions to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for wizardoftrap/functiongemma-270m-it-mobile-actions to start chattingLoad model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="wizardoftrap/functiongemma-270m-it-mobile-actions",
max_seq_length=2048,
)Quick Links
Uploaded finetuned model
- Developed by: Shiv Prakash(wizardoftrap)
- License: apache-2.0
- Finetuned from model : unsloth/functiongemma-270m-it-unsloth-bnb-4bit
- Dataset Used : google/mobile-actions
Overview
- This gemma3_text model was trained 2x faster with Unsloth and Huggingface's TRL library.
- FunctionGemma is a lightweight, open model from Google, built as a foundation for creating your own specialized function calling models.
- Also this model was converted into a Litertlm format and used in Google's Edge Gallery App on android.
- This model was fine tuned on Google Colab with T4 GPU
- Downloads last month
- 5
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Model tree for wizardoftrap/functiongemma-270m-it-mobile-actions
Base model
google/functiongemma-270m-it
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 wizardoftrap/functiongemma-270m-it-mobile-actions to start chatting