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
```

Tested reasoning works great!

by sashospx - opened Aug 30, 2024

Discussion

sashospx

Aug 30, 2024

•

edited Aug 30, 2024

Integrated it into my agent and it works great. 9 out of 10 times solves problems even bigger models otherwise struggle..
Nicely done Marinara! Thank you & Grazie! :)

ps. Prompt: Bob is in the living room. He walks to the kitchen, carrying a cup.He puts a ball in the cup and carries the cup to the bedroom.He turns the cup upside down, then walks to the garden.He puts the cup down in the garden, then walks to the garage. Where is the ball? 3 experts are discussing the question with a panel discussion, trying to solve it step by step, and make sure the result is correct and avoid penalty

MarinaraSpaghetti

Owner Sep 14, 2024

Hey, thank you so much for sharing the results!!! Super happy to read it's doing great in reasoning too. :) Hope you'll enjoy using it!

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment