Instructions to use gaianet/gemma-3-1b-it-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use gaianet/gemma-3-1b-it-GGUF with Transformers:

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

pipe = pipeline("text-generation", model="gaianet/gemma-3-1b-it-GGUF")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("gaianet/gemma-3-1b-it-GGUF")
model = AutoModelForCausalLM.from_pretrained("gaianet/gemma-3-1b-it-GGUF")

llama-cpp-python

How to use gaianet/gemma-3-1b-it-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="gaianet/gemma-3-1b-it-GGUF",
	filename="gemma-3-1b-it-Q2_K.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use gaianet/gemma-3-1b-it-GGUF 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 gaianet/gemma-3-1b-it-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf gaianet/gemma-3-1b-it-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf gaianet/gemma-3-1b-it-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf gaianet/gemma-3-1b-it-GGUF:Q4_K_M

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 gaianet/gemma-3-1b-it-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf gaianet/gemma-3-1b-it-GGUF:Q4_K_M

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 gaianet/gemma-3-1b-it-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf gaianet/gemma-3-1b-it-GGUF:Q4_K_M

Use Docker

docker model run hf.co/gaianet/gemma-3-1b-it-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use gaianet/gemma-3-1b-it-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "gaianet/gemma-3-1b-it-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "gaianet/gemma-3-1b-it-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/gaianet/gemma-3-1b-it-GGUF:Q4_K_M

SGLang

How to use gaianet/gemma-3-1b-it-GGUF 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 "gaianet/gemma-3-1b-it-GGUF" \
    --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": "gaianet/gemma-3-1b-it-GGUF",
		"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 "gaianet/gemma-3-1b-it-GGUF" \
        --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": "gaianet/gemma-3-1b-it-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use gaianet/gemma-3-1b-it-GGUF with Ollama:
```
ollama run hf.co/gaianet/gemma-3-1b-it-GGUF:Q4_K_M
```

Unsloth Studio

How to use gaianet/gemma-3-1b-it-GGUF 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 gaianet/gemma-3-1b-it-GGUF 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 gaianet/gemma-3-1b-it-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for gaianet/gemma-3-1b-it-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use gaianet/gemma-3-1b-it-GGUF with Docker Model Runner:
```
docker model run hf.co/gaianet/gemma-3-1b-it-GGUF:Q4_K_M
```

Lemonade

How to use gaianet/gemma-3-1b-it-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull gaianet/gemma-3-1b-it-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.gemma-3-1b-it-GGUF-Q4_K_M

List all available models

lemonade list

apepkuss79 commited on Mar 12, 2025

Commit

c207799

verified ·

1 Parent(s): b63881a

Update models

Browse files

Files changed (14) hide show

.gitattributes +13 -0
gemma-3-1b-it-Q2_K.gguf +3 -0
gemma-3-1b-it-Q3_K_L.gguf +3 -0
gemma-3-1b-it-Q3_K_M.gguf +3 -0
gemma-3-1b-it-Q3_K_S.gguf +3 -0
gemma-3-1b-it-Q4_0.gguf +3 -0
gemma-3-1b-it-Q4_K_M.gguf +3 -0
gemma-3-1b-it-Q4_K_S.gguf +3 -0
gemma-3-1b-it-Q5_0.gguf +3 -0
gemma-3-1b-it-Q5_K_M.gguf +3 -0
gemma-3-1b-it-Q5_K_S.gguf +3 -0
gemma-3-1b-it-Q6_K.gguf +3 -0
gemma-3-1b-it-Q8_0.gguf +3 -0
gemma-3-1b-it-f16.gguf +3 -0

@@ -33,3 +33,16 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+gemma-3-1b-it-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-3-1b-it-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-3-1b-it-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-3-1b-it-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-3-1b-it-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-3-1b-it-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-3-1b-it-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-3-1b-it-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-3-1b-it-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-3-1b-it-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-3-1b-it-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-3-1b-it-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-3-1b-it-f16.gguf filter=lfs diff=lfs merge=lfs -text

+version https://git-lfs.github.com/spec/v1
+oid sha256:3769714603c11ea2f5a6623084d6d7c97d53ec22f9b201f49a66a827e808470c
+size 689814528

+version https://git-lfs.github.com/spec/v1
+oid sha256:0f8d5320cc693ea10cac78c1ca84402f4c95f0570ced30cc728e45c9a70c50fc
+size 751575552

+version https://git-lfs.github.com/spec/v1
+oid sha256:1d7cfeb9507dbfbfa98446af4e6b03dde02043d0332d5db137b3b6b5f4b2a843
+size 722416128

+version https://git-lfs.github.com/spec/v1
+oid sha256:a5071a4ac451e50a29da5acbbf7e93ca66498c065fe853bcdf7a63b28248feb1
+size 688856064

+version https://git-lfs.github.com/spec/v1
+oid sha256:0af7a7d5c518c28141cfe314663d4b4843243e2c2a70e070e47a79df0f40b036
+size 720425472

+version https://git-lfs.github.com/spec/v1
+oid sha256:8ccc5cd1f1b3602548715ae25a66ed73fd5dc68a210412eea643eb20eb75a135
+size 806058240

+version https://git-lfs.github.com/spec/v1
+oid sha256:fbe190c6819c11448120481391ab75e6229158432f0ed5a195178fefffe14f14
+size 780993024

+version https://git-lfs.github.com/spec/v1
+oid sha256:bf08850e8783f121c792fb17b06fe5541a9460becc92bace2963d60407895920
+size 807645696

+version https://git-lfs.github.com/spec/v1
+oid sha256:586d772e7f50b36b86bf3d04a1912f880206ef77044c5011107adb8915d97b93
+size 851345664

+version https://git-lfs.github.com/spec/v1
+oid sha256:8904e1b71126cb8a3e7cf7ff942004a738179e3894fdebc73e271f91dd0823e6
+size 836399616

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:9476e9f9a007c8f6458a62c2205111b871b689e2504e5e3a314e1c2bac64b65a
+size 1011738624

+version https://git-lfs.github.com/spec/v1
+oid sha256:cf7574b5138aefb54e9a70c28144a70dcbebdbb69fc0a9558f9eb3502d4ef51f
+size 1069306368

+version https://git-lfs.github.com/spec/v1
+oid sha256:05bd381a5f45611ce53f4fdcc6641cf6cec68c3091d74e8a32ea591f062d3fc5
+size 2006573568