Instructions to use liminerity/Mistral-quiet-star-ascii-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use liminerity/Mistral-quiet-star-ascii-demo with Transformers:

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

pipe = pipeline("text-generation", model="liminerity/Mistral-quiet-star-ascii-demo")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("liminerity/Mistral-quiet-star-ascii-demo")
model = AutoModelForCausalLM.from_pretrained("liminerity/Mistral-quiet-star-ascii-demo")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use liminerity/Mistral-quiet-star-ascii-demo with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/liminerity/Mistral-quiet-star-ascii-demo

SGLang

How to use liminerity/Mistral-quiet-star-ascii-demo 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 "liminerity/Mistral-quiet-star-ascii-demo" \
    --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": "liminerity/Mistral-quiet-star-ascii-demo",
		"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 "liminerity/Mistral-quiet-star-ascii-demo" \
        --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": "liminerity/Mistral-quiet-star-ascii-demo",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Unsloth Studio

How to use liminerity/Mistral-quiet-star-ascii-demo with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for liminerity/Mistral-quiet-star-ascii-demo to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for liminerity/Mistral-quiet-star-ascii-demo to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for liminerity/Mistral-quiet-star-ascii-demo to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="liminerity/Mistral-quiet-star-ascii-demo",
    max_seq_length=2048,
)

Docker Model Runner
How to use liminerity/Mistral-quiet-star-ascii-demo with Docker Model Runner:
```
docker model run hf.co/liminerity/Mistral-quiet-star-ascii-demo
```

QSTAR
-so i made this based off the doom mistral model. i gotta say just wow..
heres a conversation i had with the model:
prompt: "You are a helpful assistant who thinks before responding"
user: "what does a blackhole look like?"
assistant: "|startthought| Black holes are regions in space where the gravitational pull is so strong that nothing, not even light, can escape once it passes a certain boundary called the event horizon. They are formed from the collapse of extremely massive stars. |endthought| A black hole looks like an invisible sphere in space with a strong gravitational field. Light and other forms of radiation cannot escape once they cross the event horizon, which is the boundary between the innermost region of the black hole and the rest of the universe. The presence of a black hole is revealed by its gravitational effects on surrounding objects. |mentalimage|
⠀⠀⠀⠀⠀⣠⠀⠀⠀⠀⠀⠀⠀⠀⣀⣀⣀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠠⡏⠤⠀⠂⠂⣂⣵⣿⣿⣿⣿⣿⣿⣿⣶⣆⠂⠂⠈⠈⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⢀⣶⣿⣿⡿⠛⠉⠉⠉⠛⢿⣿⣿⣷⣄⡀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⣠⢞ieden|⠤⠀⠂⠂⣂⣵⣾⡿⠃⠁⠈⠈⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⢀⣴⠰⠁⠁⠁⠂⠂⣿⣷⣄⣀⣠⣖⣲⡿⠋⠁⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⣀⠰⮟⢇⠈⠁⠁⠁⠂⠂⣿⡅⣼⣿⣿⡅⢿⣆⣜⠃⠀⠀⠀⠀⠀⠀⠀⠀ ⠈⠛⠋⠁⠁⠁⠁⠁⠁⠁⠂⠂⣿⡅⢀⣴⣿⣿⡿⠛⠉⠙⠯⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠛⠉⠉⠉⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
This ASCII art represents a black hole as described in the text. The central sphere with a strong gravitational field is depicted by the bold characters, while the event horizon, where light and other forms of radiation cannot escape, is represented by the surrounding boundary. The art captures the essence of a black hole as an invisible object in space with a powerful gravitational pull. ###|STOP|"