Instructions to use vandijklab/C2S-Scale-Gemma-2-27B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use vandijklab/C2S-Scale-Gemma-2-27B with Transformers:

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

pipe = pipeline("text-generation", model="vandijklab/C2S-Scale-Gemma-2-27B")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("vandijklab/C2S-Scale-Gemma-2-27B")
model = AutoModelForCausalLM.from_pretrained("vandijklab/C2S-Scale-Gemma-2-27B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use vandijklab/C2S-Scale-Gemma-2-27B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "vandijklab/C2S-Scale-Gemma-2-27B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "vandijklab/C2S-Scale-Gemma-2-27B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/vandijklab/C2S-Scale-Gemma-2-27B

SGLang

How to use vandijklab/C2S-Scale-Gemma-2-27B 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 "vandijklab/C2S-Scale-Gemma-2-27B" \
    --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": "vandijklab/C2S-Scale-Gemma-2-27B",
		"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 "vandijklab/C2S-Scale-Gemma-2-27B" \
        --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": "vandijklab/C2S-Scale-Gemma-2-27B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use vandijklab/C2S-Scale-Gemma-2-27B with Docker Model Runner:
```
docker model run hf.co/vandijklab/C2S-Scale-Gemma-2-27B
```

Genuine User Reviews and Questions on Repo vandijklab/C2S-Scale-Gemma-2-27B

by DeepNLP - opened Oct 23, 2025

Discussion

DeepNLP

Oct 23, 2025

Hi vandijklab team,

Your released model & dataset C2S-Scale-Gemma-2-27B are brilliant! We are currently collecting genuine user reviews from the web, as well as feedback and questions raised about your repos, apps or demos, to summarize and provide useful feedback to the repo owner via a pull request (PR) and discussion. We have collected a few reviews and questions from the web and social media on your C2S-Scale-Gemma-2-27B, and here is a summary.

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Regards,

DeepNLP team,
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