Instructions to use Sentinel-AI/neurips_grpo_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Sentinel-AI/neurips_grpo_model with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-it")
model = PeftModel.from_pretrained(base_model, "Sentinel-AI/neurips_grpo_model")

Transformers

How to use Sentinel-AI/neurips_grpo_model with Transformers:

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

pipe = pipeline("text-generation", model="Sentinel-AI/neurips_grpo_model")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Sentinel-AI/neurips_grpo_model", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Sentinel-AI/neurips_grpo_model with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Sentinel-AI/neurips_grpo_model

SGLang

How to use Sentinel-AI/neurips_grpo_model 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 "Sentinel-AI/neurips_grpo_model" \
    --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": "Sentinel-AI/neurips_grpo_model",
		"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 "Sentinel-AI/neurips_grpo_model" \
        --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": "Sentinel-AI/neurips_grpo_model",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Sentinel-AI/neurips_grpo_model with Docker Model Runner:
```
docker model run hf.co/Sentinel-AI/neurips_grpo_model
```

neurips_grpo_model

Commit History

Shared the correct model weights

e5a0911

yashaektefaie commited on Nov 30, 2025

Add GRPO LoRA checkpoint with Git LFS

4658b48

yashaektefaie commited on Nov 27, 2025

initial commit

0099060
verified

yashaektefaie commited on Nov 27, 2025

Commit History

Shared the correct model weights e5a0911

Add GRPO LoRA checkpoint with Git LFS 4658b48

initial commit 0099060 verified

Shared the correct model weights

e5a0911

Add GRPO LoRA checkpoint with Git LFS

4658b48

initial commit

0099060
verified