Instructions to use suryatmodulus/GPC-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use suryatmodulus/GPC-1 with Transformers:

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

pipe = pipeline("image-text-to-text", model="suryatmodulus/GPC-1")

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("suryatmodulus/GPC-1")
model = AutoModelForMultimodalLM.from_pretrained("suryatmodulus/GPC-1", device_map="auto")

PEFT
How to use suryatmodulus/GPC-1 with PEFT:
```
Task type is invalid.
```
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use suryatmodulus/GPC-1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "suryatmodulus/GPC-1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "suryatmodulus/GPC-1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/suryatmodulus/GPC-1

SGLang

How to use suryatmodulus/GPC-1 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 "suryatmodulus/GPC-1" \
    --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": "suryatmodulus/GPC-1",
		"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 "suryatmodulus/GPC-1" \
        --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": "suryatmodulus/GPC-1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use suryatmodulus/GPC-1 with Docker Model Runner:
```
docker model run hf.co/suryatmodulus/GPC-1
```

GPC-1 / docs /DATA_AND_LICENSES.md

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Third-party notices

The following notices preserve applicable attribution. They do not grant additional rights to third-party material.

Code and base model

GPC-1 inference code: Apache-2.0.
Qwen3.5-35B-A3B: the pinned upstream revision 59d61f3ce65a6d9863b86d2e96597125219dc754 is published under Apache-2.0. Preserve its upstream license, copyright, patent, trademark, and attribution notices.

The GPC-1 code license does not replace the terms of the base model, adapter artifacts, source material, or dependencies.

Material source notices

CLINC OOS: CC-BY-3.0; preserve the Larson et al. source attribution and license notice.
UCI SMS Spam Collection: CC-BY-4.0; Almeida, T. and Hidalgo, J. (2011), SMS Spam Collection, UCI Machine Learning Repository, DOI 10.24432/C5CC84.
HelpSteer2: CC-BY-4.0 at revision 990b2711a36180dd19d9c94b8627844866f8982a.
Example photograph: Liber4l, Tim running, public domain. The bounding-box illustration adds the model's predicted coordinates and presentation layout. No endorsement is implied.
Pose illustration photograph: Misty / sub_lime79, CC BY 2.0, with a point overlay. No endorsement is implied.
Intent illustration text: Larson et al., CLINC OOS, CC BY 3.0.
CMU motion capture: retain CMU attribution and NSF EIA-0196217 funding acknowledgment. CMU's published permission does not permit direct resale of the data or converted data. No capture data are distributed here.
GLiClass logic, Typed Decisions, OpenBookQA adaptation, and TruthfulQA MC1 adaptation: preserve their recorded Apache-2.0 notices; retain the OpenBookQA transport repository's MIT notice.
Google Civil Comments and public Open-Jev: CC0-1.0. Open-Jev revision: c67699e13d0ae25e35b77165a4b6b079bedc8aba.
CFPB Consumer Complaint Database: official public-use source. This project does not recast that public-use statement as an SPDX license.
U.S. Census Bureau: 2024 American Community Survey 5-year Summary File, tract estimates. U.S. federal government public-domain material; source credit retained.
Material UI: MIT, copyright (c) 2014 Call-Em-All. The notice below applies to the upstream component declarations.
PushT: lerobot/pusht, revision 7628202a2180972f291ba1bc6723834921e72c19, published under MIT. No source images or action records are distributed here.

Source-specific rights and restrictions remain applicable independently of the GPC-1 code license.

Material UI license

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.