Instructions to use google/gemma-3-270m-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/gemma-3-270m-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="google/gemma-3-270m-it")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/gemma-3-270m-it", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use google/gemma-3-270m-it with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "google/gemma-3-270m-it" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "google/gemma-3-270m-it", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/google/gemma-3-270m-it
- SGLang
How to use google/gemma-3-270m-it with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "google/gemma-3-270m-it" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "google/gemma-3-270m-it", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "google/gemma-3-270m-it" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "google/gemma-3-270m-it", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use google/gemma-3-270m-it with Docker Model Runner:
docker model run hf.co/google/gemma-3-270m-it
U:\home\bskhan\my_model
#17 opened about 1 month ago
by
iDAnBiz
Towards fine-tune perfection
2
#16 opened 3 months ago
by
GaborMadarasz
Update README.md
1
#15 opened 4 months ago
by
Chvigo
The model is now added to WebAI.js. Test it easily in your browser with no code required.
1
#11 opened 6 months ago
by
AxolsWebAI
Update chat template to use {% generation %} and {% endgeneration %} keywords
👍 1
#9 opened 9 months ago
by
mlynatom
head_dim in config
1
#8 opened 9 months ago
by
stevenshinechen
provide notebook using gpu
2
#7 opened 9 months ago
by
sakshicss
ValueError During SFT Fine-tuning with Gamma3 Model
3
#5 opened 9 months ago
by
rfhshfhs
Trouble Reproducing gemma-3-270m-it IFEval Score
8
#4 opened 10 months ago
by
fongya
Gemma A3B
👍 6
13
#3 opened 10 months ago
by
Maria99934
Great job Google, Now we need...
➕🔥 7
2
#2 opened 10 months ago
by
yousef1727
Local Installation Video and Testing - Step by Step
4
#1 opened 10 months ago
by
fahdmirzac