Instructions to use Acnoryx/Airy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Acnoryx/Airy with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Acnoryx/Airy",
	filename="gguf/Airy-0.8b-IQ1_M.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use Acnoryx/Airy with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Acnoryx/Airy:IQ1_M
# Run inference directly in the terminal:
llama-cli -hf Acnoryx/Airy:IQ1_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Acnoryx/Airy:IQ1_M
# Run inference directly in the terminal:
llama-cli -hf Acnoryx/Airy:IQ1_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf Acnoryx/Airy:IQ1_M
# Run inference directly in the terminal:
./llama-cli -hf Acnoryx/Airy:IQ1_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf Acnoryx/Airy:IQ1_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Acnoryx/Airy:IQ1_M

Use Docker

docker model run hf.co/Acnoryx/Airy:IQ1_M

LM Studio
Jan

vLLM

How to use Acnoryx/Airy with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Acnoryx/Airy:IQ1_M

Ollama
How to use Acnoryx/Airy with Ollama:
```
ollama run hf.co/Acnoryx/Airy:IQ1_M
```

Unsloth Studio new

How to use Acnoryx/Airy 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 Acnoryx/Airy 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 Acnoryx/Airy to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Acnoryx/Airy to start chatting

Docker Model Runner
How to use Acnoryx/Airy with Docker Model Runner:
```
docker model run hf.co/Acnoryx/Airy:IQ1_M
```

Lemonade

How to use Acnoryx/Airy with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Acnoryx/Airy:IQ1_M

Run and chat with the model

lemonade run user.Airy-IQ1_M

List all available models

lemonade list

nhannt201 commited on Mar 26

Commit

ba4ce94

verified ·

1 Parent(s): c90e58b

Refresh research model card metadata

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README.md +19 -0

README.md CHANGED Viewed

@@ -1,3 +1,22 @@
 # Acnoryx AI Research Bundle
 ## Overview

+---
+language:
+- en
+- vi
+license: other
+library_name: gguf
+tags:
+- acne
+- dermatology
+- skincare
+- gguf
+- research
+- quantization
+- qwen3.5
+pipeline_tag: text-generation
+base_model:
+- Qwen/Qwen3.5-0.8B
+---
 # Acnoryx AI Research Bundle
 ## Overview