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
Local Apps Settings

llama.cpp

How to use google/gemma-7b-it with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -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 serve -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

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

Atomic Chat new
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

Could not find GemmaForCausalLM neither in <module 'transformers.models.gemma'

#44

by chenwei1984 - opened Feb 23, 2024

Discussion

chenwei1984

Feb 23, 2024

[Could not find GemmaForCausalLM neither in <module 'transformers.models.gemma'](Name: transformers
Version: 4.38.1
Summary: State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Home-page: https://github.com/huggingface/transformers
Author: The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors)
Author-email: transformers@huggingface.co
License: Apache 2.0 License
Location: C:\Users\Administrator\AppData\Local\NVIDIA\MiniConda\envs\gcn\Lib\site-packages
Requires: filelock, huggingface-hub, numpy, packaging, pyyaml, regex, requests, safetensors, tokenizers, tqdm)

I have already used all the specified versions, but it still doesn't work
Why doesn't it work no matter how I update it? Is everyone else experiencing the same issue?

ybelkada

Feb 23, 2024

Hi @chenwei1984
Thanks for the issue - there might be some weird conflict in your environment. Can you try to re-install transformers in a fresh new env?

chenwei1984

Feb 24, 2024

i sure is new

Renu11

Google org Jul 22, 2024

Hi @chenwei1984 , Could you please provide more details on the issue? Like what are all the steps you have tried along with reproducible code to replicate the error to better understand the issues. Thank you

palladius

Google org Aug 29, 2024

I'm having the same issue (ricc@ - go/ricc-AIWC-C1-S1-fl ) .

input from https://huggingface.co/google/gemma-2-9b:

# pip install accelerate
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

tokenizer = AutoTokenizer.from_pretrained("google/gemma-2-9b")
model = AutoModelForCausalLM.from_pretrained(
    "google/gemma-2-9b",
    device_map="auto",
)

input_text = "Write me a poem about Machine Learning."
input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")

outputs = model.generate(**input_ids, max_new_tokens=32)
print(tokenizer.decode(outputs[0]))

output:

Traceback (most recent call last):
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/models/auto/auto_factory.py", line 701, in getattribute_from_module
    return getattribute_from_module(transformers_module, attr)
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/models/auto/auto_factory.py", line 705, in getattribute_from_module
    raise ValueError(f"Could not find {attr} in {transformers_module}!")
ValueError: Could not find Gemma2ForCausalLM in <module 'transformers' from '/home/ricc/.venv/lib/python3.8/site-packages/transformers/__init__.py'>!

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/utils/import_utils.py", line 1603, in _get_module
    return importlib.import_module("." + module_name, self.__name__)
  File "/usr/lib/python3.8/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1014, in _gcd_import
  File "<frozen importlib._bootstrap>", line 991, in _find_and_load
  File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 671, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 848, in exec_module
  File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/generation/utils.py", line 119, in <module>
    from accelerate.hooks import AlignDevicesHook, add_hook_to_module
  File "/home/ricc/accelerate.py", line 7, in <module>
    model = AutoModelForCausalLM.from_pretrained(
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/models/auto/auto_factory.py", line 563, in from_pretrained
    model_class = _get_model_class(config, cls._model_mapping)
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/models/auto/auto_factory.py", line 384, in _get_model_class
    supported_models = model_mapping[type(config)]
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/models/auto/auto_factory.py", line 735, in __getitem__
    return self._load_attr_from_module(model_type, model_name)
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/models/auto/auto_factory.py", line 749, in _load_attr_from_module
    return getattribute_from_module(self._modules[module_name], attr)
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/models/auto/auto_factory.py", line 703, in getattribute_from_module
    raise ValueError(f"Could not find {attr} neither in {module} nor in {transformers_module}!")
ValueError: Could not find Gemma2ForCausalLM neither in <module 'transformers.models.gemma2' from '/home/ricc/.venv/lib/python3.8/site-packages/transformers/models/gemma2/__init__.py'> nor in <module 'transformers' from '/home/ricc/.venv/lib/python3.8/site-packages/transformers/__init__.py'>!

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/utils/import_utils.py", line 1603, in _get_module
    return importlib.import_module("." + module_name, self.__name__)
  File "/usr/lib/python3.8/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1014, in _gcd_import
  File "<frozen importlib._bootstrap>", line 991, in _find_and_load
  File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 671, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 848, in exec_module
  File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/models/gemma2/modeling_gemma2.py", line 37, in <module>
    from ...modeling_utils import PreTrainedModel
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/modeling_utils.py", line 46, in <module>
    from .generation import GenerationConfig, GenerationMixin
  File "<frozen importlib._bootstrap>", line 1039, in _handle_fromlist
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/utils/import_utils.py", line 1593, in __getattr__
    module = self._get_module(self._class_to_module[name])
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/utils/import_utils.py", line 1605, in _get_module
    raise RuntimeError(
RuntimeError: Failed to import transformers.generation.utils because of the following error (look up to see its traceback):
Could not find Gemma2ForCausalLM neither in <module 'transformers.models.gemma2' from '/home/ricc/.venv/lib/python3.8/site-packages/transformers/models/gemma
2/__init__.py'> nor in <module 'transformers' from '/home/ricc/.venv/lib/python3.8/site-packages/transformers/__init__.py'>!

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "accelerate.py", line 7, in <module>
    model = AutoModelForCausalLM.from_pretrained(
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/models/auto/auto_factory.py", line 563, in from_pretrained
    model_class = _get_model_class(config, cls._model_mapping)
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/models/auto/auto_factory.py", line 384, in _get_model_class
    supported_models = model_mapping[type(config)]
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/models/auto/auto_factory.py", line 735, in __getitem__
    return self._load_attr_from_module(model_type, model_name)
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/models/auto/auto_factory.py", line 749, in _load_attr_from_module
    return getattribute_from_module(self._modules[module_name], attr)
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/models/auto/auto_factory.py", line 693, in getattribute_from_module
    if hasattr(module, attr):
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/utils/import_utils.py", line 1593, in __getattr__
    module = self._get_module(self._class_to_module[name])
  File "/home/ricc/.venv/lib/python3.8/site-packages/transformers/utils/import_utils.py", line 1605, in _get_module
    raise RuntimeError(
RuntimeError: Failed to import transformers.models.gemma2.modeling_gemma2 because of the following error (look up to see its traceback):
Failed to import transformers.generation.utils because of the following error (look up to see its traceback):
Could not find Gemma2ForCausalLM neither in <module 'transformers.models.gemma2' from '/home/ricc/.venv/lib/python3.8/site-packages/transformers/models/gemma
2/__init__.py'> nor in <module 'transformers' from '/home/ricc/.venv/lib/python3.8/site-packages/transformers/__init__.py'>!

Renu11

Google org Sep 16, 2024

@palladius , It seems, there is version incompatibility issue between the installed libraries in your system to run this Gemma model. You are using older python version 3.8 to run the Gemma model. Please try running the model again after installing the Python version 3.10 and let us know if the issue still persists.

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment