Instructions to use Statuo/NemoMix-v4.0-EXL2-6bpw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Statuo/NemoMix-v4.0-EXL2-6bpw with Transformers:

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

pipe = pipeline("text-generation", model="Statuo/NemoMix-v4.0-EXL2-6bpw")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Statuo/NemoMix-v4.0-EXL2-6bpw")
model = AutoModelForCausalLM.from_pretrained("Statuo/NemoMix-v4.0-EXL2-6bpw", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Statuo/NemoMix-v4.0-EXL2-6bpw with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Statuo/NemoMix-v4.0-EXL2-6bpw"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Statuo/NemoMix-v4.0-EXL2-6bpw",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Statuo/NemoMix-v4.0-EXL2-6bpw

SGLang

How to use Statuo/NemoMix-v4.0-EXL2-6bpw 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 "Statuo/NemoMix-v4.0-EXL2-6bpw" \
    --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": "Statuo/NemoMix-v4.0-EXL2-6bpw",
		"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 "Statuo/NemoMix-v4.0-EXL2-6bpw" \
        --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": "Statuo/NemoMix-v4.0-EXL2-6bpw",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Statuo/NemoMix-v4.0-EXL2-6bpw with Docker Model Runner:
```
docker model run hf.co/Statuo/NemoMix-v4.0-EXL2-6bpw
```

Sleep is for the weak

by MarinaraSpaghetti - opened Aug 20, 2024

Discussion

MarinaraSpaghetti

Aug 20, 2024

I will have you informed that I have created 28 new merges in the past three days and published none, because I am aiming for perfection. Thanks for the quants!

Statuo

Owner Aug 21, 2024

Haha, please understand that I don't mean anything bad by it. I really do appreciate the work you put into your models. It's more just that I have to lock my computer down purely to quant stuff when things come out and it's usually a few hours where I can't do anything on it. So I have to pick and choose my battles, if that makes sense.

MarinaraSpaghetti

Aug 21, 2024

All good, I’m just joking, hah. Once again, thanks for the quants, I always appreciate when someone puts time and effort into providing those. 💙

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