Instructions to use google/gemma-7b-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use google/gemma-7b-it with Transformers:

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

pipe = pipeline("text-generation", model="google/gemma-7b-it")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("google/gemma-7b-it")
model = AutoModelForCausalLM.from_pretrained("google/gemma-7b-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-7b-it with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="google/gemma-7b-it",
	filename="gemma-7b-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-7b-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-7b-it
# Run inference directly in the terminal:
llama-cli -hf google/gemma-7b-it

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf google/gemma-7b-it
# Run inference directly in the terminal:
llama-cli -hf google/gemma-7b-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-7b-it
# Run inference directly in the terminal:
./llama-cli -hf google/gemma-7b-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-7b-it
# Run inference directly in the terminal:
./build/bin/llama-cli -hf google/gemma-7b-it

Use Docker

docker model run hf.co/google/gemma-7b-it

LM Studio
Jan

vLLM

How to use google/gemma-7b-it with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "google/gemma-7b-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-7b-it",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/google/gemma-7b-it

SGLang

How to use google/gemma-7b-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-7b-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-7b-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-7b-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-7b-it",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use google/gemma-7b-it with Ollama:
```
ollama run hf.co/google/gemma-7b-it
```

Unsloth Studio new

How to use google/gemma-7b-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-7b-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-7b-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-7b-it to start chatting

Docker Model Runner
How to use google/gemma-7b-it with Docker Model Runner:
```
docker model run hf.co/google/gemma-7b-it
```

Lemonade

How to use google/gemma-7b-it with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull google/gemma-7b-it

Run and chat with the model

lemonade run user.gemma-7b-it-{{QUANT_TAG}}

List all available models

lemonade list

Instrct version models keep missing the first few letters of the answer

#43

by cooldog - opened Feb 23, 2024

Discussion

cooldog

Feb 23, 2024

•

edited Feb 23, 2024

I just tried the Inference API on the model page, and I noticed that both 2b/7b-it appear to miss the first few letters in their answers, why is that?

example:

<start_of_turn>user
Who is Steve Jobs?<end_of_turn>
<start_of_turn>model
ure, Steve Jobs was an American entrepreneur and businessman who co-founded Apple Inc. in 1976 and revolutionized the personal computer industry with the Apple Mac and the iPhone. He was born in 1955 and passed away in 2011.
<start_of_turn>user
Then who are the other co-founders of Apple?<end_of_turn>
<start_of_turn>model
ure, Steve Wozniak and John Sculley were the other co-founders of Apple Inc.

suryabhupa

Google org Feb 25, 2024

hmm, I have not seen this before, or in others' issues, are you doing any extra postprocessing by chance?

osanseviero

Google org Feb 25, 2024

This might be a bug on Hugging Face with the widget with the conversational models. We're releasing a new conversational widget soon!

cc @Wauplin @mishig @Xenova for visibility

Wauplin

Feb 26, 2024

cc @sbrandeis as well, who is working on it :)

cooldog

Feb 26, 2024

•

edited Feb 26, 2024

hmm, I have not seen this before, or in others' issues, are you doing any extra postprocessing by chance?

No. Actually it is reproducible I assume. I tried again it still skip the "S" in "Sure".

Acutally with the default example "how does the brain work" it also happened. The first "*" was missing.

<start_of_turn>user
How does the brain work?<end_of_turn>
<start_of_turn>model
*The brain is a complex organ that plays a vital role in many aspects of human cognition and behavior.** It is made up of billions of neurons, which are specialized cells that communicate with each other through electrical and chemical signals.

Xenova

Feb 26, 2024

•

edited Feb 26, 2024

This is most likely due to a prefix space NOT being added/generated, but the decoding still removing the (non-existent) prefix space. Either way, this should be fixed with the updated version of the conversational widget. Thanks for reporting!

suryabhupa

Google org Feb 28, 2024

Can you confirm the problem is fixed @cooldog ?

cooldog

Feb 29, 2024

Can you confirm the problem is fixed @cooldog ?

Hi, was any change made to the widget? I just tried it, and it seems a bit weird.

if I dont add the line breaker at the end of model, it returned as below: no line breaker added automatically, but the word "Sure" was complete.
If I add a line breaker, it returned as below: extra breaker added, and "Sure" missing the first two letters.

I assume this can be reproduced on your browser too?

suryabhupa

Google org Feb 29, 2024

I don't see this issue locally, but I have a difficult time clearing the example box, @osanseviero is there a fix here incoming?

Wauplin

Feb 29, 2024

@suryabhupa Yes! https://github.com/huggingface/huggingface.js/pull/516

lkv

Google org Aug 19, 2024

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