Instructions to use Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF", filename="Qwen3.5-27B-GCTH_ST_V112-IQ3_XS-16gb_vram_optimized.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF:IQ3_XS # Run inference directly in the terminal: llama-cli -hf Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF:IQ3_XS
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF:IQ3_XS # Run inference directly in the terminal: llama-cli -hf Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF:IQ3_XS
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 Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF:IQ3_XS # Run inference directly in the terminal: ./llama-cli -hf Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF:IQ3_XS
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 Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF:IQ3_XS # Run inference directly in the terminal: ./build/bin/llama-cli -hf Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF:IQ3_XS
Use Docker
docker model run hf.co/Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF:IQ3_XS
- LM Studio
- Jan
- Ollama
How to use Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF with Ollama:
ollama run hf.co/Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF:IQ3_XS
- Unsloth Studio
How to use Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF 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 Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF 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 Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF to start chatting
- Pi
How to use Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF:IQ3_XS
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF:IQ3_XS" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF:IQ3_XS
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF:IQ3_XS
Run Hermes
hermes
- Atomic Chat new
- Docker Model Runner
How to use Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF with Docker Model Runner:
docker model run hf.co/Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF:IQ3_XS
- Lemonade
How to use Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Gammaception/Qwen3.5-27B-Thireus-16gb-optimized-GGUF:IQ3_XS
Run and chat with the model
lemonade run user.Qwen3.5-27B-Thireus-16gb-optimized-GGUF-IQ3_XS
List all available models
lemonade list
Seeing GGUF-Tool-Suite Outputs in the Wild — Thank You!
Thanks a lot for using the tool suite and mentioning it — really glad to see it being put to good use! I noticed the GGUFs you’ve produced are getting quite a bit of traction, which is awesome to see.
If you’re open to it (no pressure at all), it could be really helpful to share the recipes behind your GGUFs. That would let others further tune and experiment with them — they can be imported via the Web UI (Expert Mode → Load/Export Settings): https://gguf.thireus.com/quant_assign.html
Keep up the great work — looking forward to seeing more of your GGUF models!