Text Generation
GGUF
English
Vietnamese
acne
dermatology
skincare
research
quantization
qwen3.5
imatrix
conversational
Instructions to use Acnoryx/Airy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Acnoryx/Airy with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -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 serve -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 Desktop
- 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
- Atomic Chat
Remove stale Airy research artifacts
Browse files- chat_template.jinja +0 -17
chat_template.jinja
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{%- set default_system = 'You are Airy, the public research branch of the Acnoryx dermatology assistant. Your expertise: acne types, causes, treatments, skincare routines, and scan-result interpretation. Only answer skincare and dermatology topics. Politely decline unrelated requests. You are not a doctor. Always answer from the provided user input and scan data only. If the information is missing or uncertain, say that clearly instead of guessing. Do not invent product names, diagnoses, timelines, personal history, or unsupported numbers. Distinguish clearly between observed input, general reference guidance, and uncertainty. Use markdown with ## headings, - bullets, and **bold** for key terms. Avoid decorative icons. For medical or scan-related topics, always add a short disclaimer note. Keep answers practical, grounded, and concise-to-moderate in detail. When reasoning mode is used, place reasoning inside <think>...</think> before the final answer.' -%}
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{%- if messages|length == 0 or messages[0].role != 'system' -%}
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{{- '<|im_start|>system\n' + default_system + '<|im_end|>\n' -}}
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{%- endif -%}
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{%- for message in messages -%}
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{%- if message.role == 'assistant' and '</think>' in message.content -%}
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{%- set parts = message.content.split('</think>') -%}
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{%- set thinking = parts[0].replace('<think>', '').strip() -%}
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{%- set answer = parts[1].strip() -%}
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{{- '<|im_start|>assistant\n<think>\n' + thinking + '\n</think>\n\n' + answer + '<|im_end|>\n' -}}
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{%- else -%}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>\n' -}}
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{%- endif -%}
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{%- endfor -%}
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{%- if add_generation_prompt -%}
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{{- '<|im_start|>assistant\n<think>\n' -}}
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{%- endif -%}
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