Instructions to use c2p-cmd/google_gemma_guff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use c2p-cmd/google_gemma_guff with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="c2p-cmd/google_gemma_guff",
	filename="gemma_snapshot/gemma-2b-it.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use c2p-cmd/google_gemma_guff with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf c2p-cmd/google_gemma_guff
# Run inference directly in the terminal:
llama-cli -hf c2p-cmd/google_gemma_guff

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf c2p-cmd/google_gemma_guff
# Run inference directly in the terminal:
llama-cli -hf c2p-cmd/google_gemma_guff

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 c2p-cmd/google_gemma_guff
# Run inference directly in the terminal:
./llama-cli -hf c2p-cmd/google_gemma_guff

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 c2p-cmd/google_gemma_guff
# Run inference directly in the terminal:
./build/bin/llama-cli -hf c2p-cmd/google_gemma_guff

Use Docker

docker model run hf.co/c2p-cmd/google_gemma_guff

LM Studio
Jan
Ollama
How to use c2p-cmd/google_gemma_guff with Ollama:
```
ollama run hf.co/c2p-cmd/google_gemma_guff
```

Unsloth Studio new

How to use c2p-cmd/google_gemma_guff 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 c2p-cmd/google_gemma_guff 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 c2p-cmd/google_gemma_guff to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for c2p-cmd/google_gemma_guff to start chatting

Docker Model Runner
How to use c2p-cmd/google_gemma_guff with Docker Model Runner:
```
docker model run hf.co/c2p-cmd/google_gemma_guff
```

Lemonade

How to use c2p-cmd/google_gemma_guff with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull c2p-cmd/google_gemma_guff

Run and chat with the model

lemonade run user.google_gemma_guff-{{QUANT_TAG}}

List all available models

lemonade list

Gemma Model Card

Model Page: Gemma

This model card corresponds to the 2B and 7B Instruct versions of the Gemma model's Guff.

Terms of Use: Terms

Description

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

Model Usage

Since this is a guff, it can be run locally using

Ollama
Llama.cpp
LM Studio
And Many More
I have provided GemmaModelFile that can be used with ollama by:

Download the model:

pip install huggingface_hub
from huggingface_hub import hf_hub_download

model_id="c2p-cmd/google_gemma_guff"
hf_hub_download(repo_id=model_id, local_dir="gemma_snapshot", local_dir_use_symlinks=False, filename="gemma_snapshot/gemma-2b-it.gguf")

Load the model file to ollama
```
ollama create gemma -f GemmaModelFile
```
You change the model name based on needs

Downloads last month: 14

GGUF

Model size

3B params

Architecture

gemma

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

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