Instructions to use google/gemma-2b-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use google/gemma-2b-it with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="google/gemma-2b-it")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b-it")
model = AutoModelForCausalLM.from_pretrained("google/gemma-2b-it")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

llama-cpp-python

How to use google/gemma-2b-it with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="google/gemma-2b-it",
	filename="gemma-2b-it.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Inference
Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use google/gemma-2b-it with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf google/gemma-2b-it
# Run inference directly in the terminal:
llama-cli -hf google/gemma-2b-it

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf google/gemma-2b-it
# Run inference directly in the terminal:
llama-cli -hf google/gemma-2b-it

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf google/gemma-2b-it
# Run inference directly in the terminal:
./llama-cli -hf google/gemma-2b-it

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf google/gemma-2b-it
# Run inference directly in the terminal:
./build/bin/llama-cli -hf google/gemma-2b-it

Use Docker

docker model run hf.co/google/gemma-2b-it

LM Studio
Jan

vLLM

How to use google/gemma-2b-it with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "google/gemma-2b-it"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "google/gemma-2b-it",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/google/gemma-2b-it

SGLang

How to use google/gemma-2b-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-2b-it" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "google/gemma-2b-it",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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-2b-it" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "google/gemma-2b-it",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use google/gemma-2b-it with Ollama:
```
ollama run hf.co/google/gemma-2b-it
```

Unsloth Studio new

How to use google/gemma-2b-it with 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 google/gemma-2b-it 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 google/gemma-2b-it to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for google/gemma-2b-it to start chatting

Docker Model Runner
How to use google/gemma-2b-it with Docker Model Runner:
```
docker model run hf.co/google/gemma-2b-it
```

Lemonade

How to use google/gemma-2b-it with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull google/gemma-2b-it

Run and chat with the model

lemonade run user.gemma-2b-it-{{QUANT_TAG}}

List all available models

lemonade list

New discussion

Resources

View closed (38)

Request: DOI

#75 opened 12 days ago by

mazenhan343

Request: DOI

#74 opened about 1 month ago by

ashishpatelk

Distributing this on an app? Licence?

#72 opened 6 months ago by

HeyGoodEnough

Request: DOI

#71 opened 7 months ago by

majivncio

MarCognity-AI for Google – Gemma 2B

#70 opened 8 months ago by

elly99

Request: DOI

#69 opened 8 months ago by

Tanh1116

Request: DOI

#67 opened 8 months ago by

yigitakdas7

Patiently waiting 5 days

#66 opened 9 months ago by

Josecajina

Request: DOI

#65 opened 9 months ago by

Tarunsai6503

Request access to Gemma-2B for medical research

#64 opened 10 months ago by

DinoFortunato

Request: DOI

👀 1

#63 opened 10 months ago by

hgez4613

Request: DOI

#62 opened 10 months ago by

waleedshah0

Request: DOI

#61 opened 11 months ago by

hollow27mc

using

#60 opened 11 months ago by

Weebra

REQUEST DOI

#59 opened about 1 year ago by

Natwar

Request: DOI

#58 opened about 1 year ago by

mamatmusayev

Unable to get model access

🔥 1

#56 opened over 1 year ago by

Khyatikhandelwal20

Extract only output

#55 opened over 1 year ago by

tkaintura

Requesting access to model, the terms and conditions mentions access to reading emails

#54 opened over 1 year ago by

vkSJSU

Update License

#52 opened over 1 year ago by

hschaeufler

Request: access to gated repo

#51 opened almost 2 years ago by

iamamofa

Generating multiple responses from the same prompt

#50 opened almost 2 years ago by

OfriH

Inference API Parameters

#47 opened almost 2 years ago by

Shivkumar27

Update README.md

#46 opened almost 2 years ago by

Deepjyoti120

Issue with loading 4-bit quantized model on Apple M1 pro

#45 opened about 2 years ago by

waxsum8

What do they mean by maj@1 ?

#44 opened about 2 years ago by

joserass

Gemma Inference Scale

#42 opened about 2 years ago by

metalfusion10

Fine tuning for NER Tasks

#41 opened about 2 years ago by

NavS2023

Update config.json

#39 opened about 2 years ago by

risaxD19

[AUTOMATED] Model Memory Requirements

#38 opened about 2 years ago by

model-sizer-bot

Additional Tokens

#33 opened about 2 years ago by

pcuenq

RuntimeError: cutlassF: no kernel found to launch!

#32 opened about 2 years ago by

kehkok

Pretraining Time Cost?

#30 opened about 2 years ago by

fov223

Transformer Pipeline

🔥 1

#26 opened about 2 years ago by

francescoyoubiquo

Running on Google Pixel TPU?

#16 opened over 2 years ago by

soupslurpr

THE most unhelpful, heavily censored & biased model I ever experienced

#15 opened over 2 years ago by

Horned

GEMMA2B

#14 opened over 2 years ago by

acsankar