Instructions to use Kryptone/monikAI-Unstable with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Kryptone/monikAI-Unstable with Transformers:

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

pipe = pipeline("text-generation", model="Kryptone/monikAI-Unstable")

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

tokenizer = AutoTokenizer.from_pretrained("Kryptone/monikAI-Unstable")
model = AutoModelForCausalLM.from_pretrained("Kryptone/monikAI-Unstable", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Kryptone/monikAI-Unstable with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Kryptone/monikAI-Unstable

SGLang

How to use Kryptone/monikAI-Unstable 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 "Kryptone/monikAI-Unstable" \
    --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": "Kryptone/monikAI-Unstable",
		"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 "Kryptone/monikAI-Unstable" \
        --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": "Kryptone/monikAI-Unstable",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Kryptone/monikAI-Unstable with Docker Model Runner:
```
docker model run hf.co/Kryptone/monikAI-Unstable
```

monikAI-Unstable

Commit History

Mar 19, 2023

06:26
Adding `safetensors` variant of this model⁠

SFconvertbot

6780316

Oct 3, 2021

05:18
Update README.md

Kryptone

efe45cb

Sep 8, 2021

04:07
Update README.md

Kryptone

977995f
04:05
Update README.md

Kryptone

6350251
04:04
Create README.md

Kryptone

e8ee978
04:00
Initial Commit-Unstable version

Kryptone

756b102
03:56
initial commit

system HF Staff

91a9342

Commit History

Mar 19, 2023

Adding `safetensors` variant of this model⁠

Oct 3, 2021

Update README.md

Sep 8, 2021

Update README.md

Update README.md

Create README.md

Initial Commit-Unstable version

initial commit