Instructions to use shibatch/tinygemma3-2m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use shibatch/tinygemma3-2m with Transformers:

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

pipe = pipeline("text-generation", model="shibatch/tinygemma3-2m")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("shibatch/tinygemma3-2m", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use shibatch/tinygemma3-2m 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 shibatch/tinygemma3-2m:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf shibatch/tinygemma3-2m:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf shibatch/tinygemma3-2m:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf shibatch/tinygemma3-2m: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 shibatch/tinygemma3-2m:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf shibatch/tinygemma3-2m: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 shibatch/tinygemma3-2m:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf shibatch/tinygemma3-2m:Q4_K_M

Use Docker

docker model run hf.co/shibatch/tinygemma3-2m:Q4_K_M

LM Studio
Jan

vLLM

How to use shibatch/tinygemma3-2m with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "shibatch/tinygemma3-2m"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "shibatch/tinygemma3-2m",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/shibatch/tinygemma3-2m:Q4_K_M

SGLang

How to use shibatch/tinygemma3-2m 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 "shibatch/tinygemma3-2m" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "shibatch/tinygemma3-2m",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "shibatch/tinygemma3-2m" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "shibatch/tinygemma3-2m",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Ollama
How to use shibatch/tinygemma3-2m with Ollama:
```
ollama run hf.co/shibatch/tinygemma3-2m:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use shibatch/tinygemma3-2m with Docker Model Runner:
```
docker model run hf.co/shibatch/tinygemma3-2m:Q4_K_M
```

Lemonade

How to use shibatch/tinygemma3-2m with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull shibatch/tinygemma3-2m:Q4_K_M

Run and chat with the model

lemonade run user.tinygemma3-2m-Q4_K_M

List all available models

lemonade list

Atomic Chat

tinygemma3-2m

File size: 1,333 Bytes

554dc63

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    "repo_id": "shibatch/tinygemma3-2m",
    "revision": "7aab2f4e525707e046799eb5674f344dc74853d6",
    "downloaded_utc_date": "2026-08-13"
  },
  "conversion": {
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    "intermediate_type": "F16",
    "quantizer": "llama.cpp 8681 (Debian)",
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    "tokenizer_probe_sha256": "a7cd49e25128643b1b7df2df3a699e60225476307c755f246cacfd441d533a7b",
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  "validation": {
    "runtime": "llama.cpp 8681 (Debian)",
    "load_succeeded": true,
    "generation_exit_code": 0,
    "prompt": "Once upon",
    "max_new_tokens": 40,
    "temperature": 0.0,
    "completion": " a time, there was a little girl named Lily. She loved to play with her toys and her favorite thing to do was to go to the park. One day, Lily's"
  }
}