Instructions to use rishanthrajendhran/POLARIS-no-HRI-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use rishanthrajendhran/POLARIS-no-HRI-9B with Transformers:

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

pipe = pipeline("text-generation", model="rishanthrajendhran/POLARIS-no-HRI-9B")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("rishanthrajendhran/POLARIS-no-HRI-9B")
model = AutoModelForMultimodalLM.from_pretrained("rishanthrajendhran/POLARIS-no-HRI-9B")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.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(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use rishanthrajendhran/POLARIS-no-HRI-9B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "rishanthrajendhran/POLARIS-no-HRI-9B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "rishanthrajendhran/POLARIS-no-HRI-9B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/rishanthrajendhran/POLARIS-no-HRI-9B

SGLang

How to use rishanthrajendhran/POLARIS-no-HRI-9B 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 "rishanthrajendhran/POLARIS-no-HRI-9B" \
    --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": "rishanthrajendhran/POLARIS-no-HRI-9B",
		"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 "rishanthrajendhran/POLARIS-no-HRI-9B" \
        --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": "rishanthrajendhran/POLARIS-no-HRI-9B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use rishanthrajendhran/POLARIS-no-HRI-9B with Docker Model Runner:
```
docker model run hf.co/rishanthrajendhran/POLARIS-no-HRI-9B
```

rishanthrajendhran commited on 2 days ago

Commit

6c5508a

verified ·

1 Parent(s): 040705e

Update README.md

Browse files

Files changed (1) hide show

README.md +9 -8

README.md CHANGED Viewed

@@ -187,12 +187,13 @@ Identical to POLARIS-9B except for the group composition.
 ## Citation
 ```bibtex
-@article{polaris2026,
-  title   = {{POLARIS}: Guiding Small Models to Write Long Stories},
-  author  = {Anonymous},
-  journal = {ACL submission},
-  year    = {2026},
 }
-```
-*(Citation will be updated upon acceptance.)*

 ## Citation
 ```bibtex
+@misc{rajendhran2026polarisguidingsmallmodels,
+      title={POLARIS: Guiding Small Models to Write Long Stories},
+      author={Rishanth Rajendhran and Jenna Russell and Mohit Iyyer and John Frederick Wieting},
+      year={2026},
+      eprint={2606.04095},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2606.04095},
 }
+```