Instructions to use athena129/Gemma4Defense-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use athena129/Gemma4Defense-2B with Transformers:

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

pipe = pipeline("text-generation", model="athena129/Gemma4Defense-2B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("athena129/Gemma4Defense-2B")
model = AutoModelForCausalLM.from_pretrained("athena129/Gemma4Defense-2B")
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]:]))

PEFT
How to use athena129/Gemma4Defense-2B with PEFT:
```
Task type is invalid.
```
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use athena129/Gemma4Defense-2B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "athena129/Gemma4Defense-2B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "athena129/Gemma4Defense-2B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/athena129/Gemma4Defense-2B

SGLang

How to use athena129/Gemma4Defense-2B 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 "athena129/Gemma4Defense-2B" \
    --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": "athena129/Gemma4Defense-2B",
		"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 "athena129/Gemma4Defense-2B" \
        --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": "athena129/Gemma4Defense-2B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use athena129/Gemma4Defense-2B with Docker Model Runner:
```
docker model run hf.co/athena129/Gemma4Defense-2B
```

athena129 commited on 4 days ago

Commit

9621e14

verified ·

1 Parent(s): e9c6861

model card: correct license to Apache 2.0 (Gemma 4 upstream is Apache 2.0, not Gemma TOU)

Browse files

Files changed (1) hide show

README.md +3 -3

README.md CHANGED Viewed

@@ -1,6 +1,6 @@
 ---
-license: gemma
-license_link: https://ai.google.dev/gemma/terms
 library_name: transformers
 pipeline_tag: text-generation
 base_model: google/gemma-4-E2B-it
@@ -61,7 +61,7 @@ Under the evaluation protocol of [Foundation-Sec-8B (arXiv:2504.21039)](https://
 | Adapter | LoRA r=64, alpha=64, dropout=0.05 |
 | Precision | bfloat16 |
 | Languages | English |
-| License | Gemma Terms of Use |
 ## Intended Use

 ---
+license: apache-2.0
+license_link: https://ai.google.dev/gemma/docs/gemma_4_license
 library_name: transformers
 pipeline_tag: text-generation
 base_model: google/gemma-4-E2B-it
 | Adapter | LoRA r=64, alpha=64, dropout=0.05 |
 | Precision | bfloat16 |
 | Languages | English |
+| License | Apache 2.0 |
 ## Intended Use