Instructions to use MarinaraSpaghetti/NemoMix-Unleashed-12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MarinaraSpaghetti/NemoMix-Unleashed-12B with Transformers:

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

pipe = pipeline("text-generation", model="MarinaraSpaghetti/NemoMix-Unleashed-12B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("MarinaraSpaghetti/NemoMix-Unleashed-12B")
model = AutoModelForCausalLM.from_pretrained("MarinaraSpaghetti/NemoMix-Unleashed-12B")

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use MarinaraSpaghetti/NemoMix-Unleashed-12B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "MarinaraSpaghetti/NemoMix-Unleashed-12B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "MarinaraSpaghetti/NemoMix-Unleashed-12B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/MarinaraSpaghetti/NemoMix-Unleashed-12B

SGLang

How to use MarinaraSpaghetti/NemoMix-Unleashed-12B 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 "MarinaraSpaghetti/NemoMix-Unleashed-12B" \
    --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": "MarinaraSpaghetti/NemoMix-Unleashed-12B",
		"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 "MarinaraSpaghetti/NemoMix-Unleashed-12B" \
        --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": "MarinaraSpaghetti/NemoMix-Unleashed-12B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use MarinaraSpaghetti/NemoMix-Unleashed-12B with Docker Model Runner:
```
docker model run hf.co/MarinaraSpaghetti/NemoMix-Unleashed-12B
```

Ooba only

#17

by Doomed1986 - opened Dec 1, 2025

Discussion

Doomed1986

Dec 1, 2025

Hi, firstly, sorry for not being adept.
I've tried this model once and it seems great but I'm just wondering if i have it setup properly...
I dont have ST, a big reason why is this model card rife with conflicting and confusing info! Anyway, it autoloads alpaca template which isnt right for a nemo / mistral model right? But yeah it seems to work. Also, i have no idea what jinja is, but i know its related to autoloading templates and cpp, and ooba uses it too.
I will move to ST one day, and get overwhelmed by all the 200,000 settings, but for now can someone assure me if this model loads properly in ooba as default?

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