Instructions to use ProCreations/grug-v1.1-qwen-3.8-27b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ProCreations/grug-v1.1-qwen-3.8-27b with Transformers:

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

pipe = pipeline("text-generation", model="ProCreations/grug-v1.1-qwen-3.8-27b")
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("ProCreations/grug-v1.1-qwen-3.8-27b")
model = AutoModelForMultimodalLM.from_pretrained("ProCreations/grug-v1.1-qwen-3.8-27b", device_map="auto")
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 ProCreations/grug-v1.1-qwen-3.8-27b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ProCreations/grug-v1.1-qwen-3.8-27b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ProCreations/grug-v1.1-qwen-3.8-27b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ProCreations/grug-v1.1-qwen-3.8-27b

SGLang

How to use ProCreations/grug-v1.1-qwen-3.8-27b 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 "ProCreations/grug-v1.1-qwen-3.8-27b" \
    --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": "ProCreations/grug-v1.1-qwen-3.8-27b",
		"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 "ProCreations/grug-v1.1-qwen-3.8-27b" \
        --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": "ProCreations/grug-v1.1-qwen-3.8-27b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use ProCreations/grug-v1.1-qwen-3.8-27b with Docker Model Runner:
```
docker model run hf.co/ProCreations/grug-v1.1-qwen-3.8-27b
```

grug-27b 3.8\3.6 naming

by Pikuseru - opened 7 days ago

Discussion

Pikuseru

7 days ago

Please add 3.8 to the name to make it easier to find this model through the search, I had to search for this card by going to your profile.

ProCreations

Owner 7 days ago

done. is it good now?

Pikuseru

7 days ago

•

edited 7 days ago

no no, you boss. grug brand is grug brand, me no tell you how name things.
just mean add 3.8. but you forget v1.1!
'loud thoughts', when brain see Qwen3.8-27B-grug-v1.1, brain no read letters. brain see pattern. pattern = instant find.
you do what you want, caveman happy either way.

also gguf\mtp rocks need same name pattern! so brain find small\fast rocks too. (It seems the Model tree for drug-27b-3.8 broke due to renaming.)

Pikuseru

7 days ago

•

edited 7 days ago

Why not grug-v1.1-Qwen3.8-27b? (._.) (Ok, forget about it)

ProCreations

Owner 7 days ago

ok me wonder is good now?

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