Instructions to use Situus/STARK-WEB-12B-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Situus/STARK-WEB-12B-gguf with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Situus/STARK-WEB-12B-gguf", filename="STARK-WEB-12B-V1-bf16.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Situus/STARK-WEB-12B-gguf with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Situus/STARK-WEB-12B-gguf:Q4_K_M # Run inference directly in the terminal: llama-cli -hf Situus/STARK-WEB-12B-gguf:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Situus/STARK-WEB-12B-gguf:Q4_K_M # Run inference directly in the terminal: llama-cli -hf Situus/STARK-WEB-12B-gguf:Q4_K_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 Situus/STARK-WEB-12B-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Situus/STARK-WEB-12B-gguf:Q4_K_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 Situus/STARK-WEB-12B-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Situus/STARK-WEB-12B-gguf:Q4_K_M
Use Docker
docker model run hf.co/Situus/STARK-WEB-12B-gguf:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use Situus/STARK-WEB-12B-gguf with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Situus/STARK-WEB-12B-gguf" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Situus/STARK-WEB-12B-gguf", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Situus/STARK-WEB-12B-gguf:Q4_K_M
- Ollama
How to use Situus/STARK-WEB-12B-gguf with Ollama:
ollama run hf.co/Situus/STARK-WEB-12B-gguf:Q4_K_M
- Unsloth Studio
How to use Situus/STARK-WEB-12B-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 Situus/STARK-WEB-12B-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 Situus/STARK-WEB-12B-gguf to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Situus/STARK-WEB-12B-gguf to start chatting
- Atomic Chat new
- Docker Model Runner
How to use Situus/STARK-WEB-12B-gguf with Docker Model Runner:
docker model run hf.co/Situus/STARK-WEB-12B-gguf:Q4_K_M
- Lemonade
How to use Situus/STARK-WEB-12B-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Situus/STARK-WEB-12B-gguf:Q4_K_M
Run and chat with the model
lemonade run user.STARK-WEB-12B-gguf-Q4_K_M
List all available models
lemonade list
β‘ STARK-WEB-12B-GGUF
Local GGUF Quantizations for the Premium AI UI/UX Designer & Frontend Model (v1.0.0)
π Model Overview
This repository contains local GGUF quantizations of STARK-WEB-12B, a specialized fine-tune of Google's Gemma 4 12B architecture designed to act as a premium UI/UX designer and frontend engineer. It generates complete, visually stunning, single-file web applications combining semantic HTML5, modern CSS, and interactive JavaScript.
These files are fully compatible with local inference engines like LM Studio, Ollama, llama.cpp, Llamafile, and Faraday.
β οΈ Quantization Status & Known Issues
β‘ GGUF File Summary & Formatting Notes
| File Name | Quantization | Status & Recommendations |
|---|---|---|
| ...-f16.gguf | F16 (16-bit) | Perfect. Maximum reasoning quality. Recommended if memory allows (~24 GB VRAM/RAM). |
| ...-q8_0.gguf | Q8_0 (8-bit) | Highly Recommended. Near-zero degradation in CoT structuring and UI aesthetics. (~13 GB). |
| ...-q4_k_m.gguf | Q4_K_M (4-bit) | β οΈ Known Formatting Issue. The q4_k_m version occasionally introduces syntax/formatting mistakes that can break page rendering. We are actively working to fix this. If you experience layout breakage, please use the Q8_0 or F16 files. |
π οΈ How to Run Locally
Prompt Template & Inference Settings
The model was fine-tuned without a system prompt. Use the standard Gemma format (<|turn|>). The chat template automatically injects the <|think|> token on system level.
Expected Template Structure:
<|turn>system
<|think|>
<turn|>
<|turn>user
Make a responsive, beautiful game of Tetris in 1 file
<turn|>
<|turn>model
<|channel>thought
1. Understand the Goal:
...
π‘ Recommendation for Broken Output (Second Pass)
If you encounter layout bugs, copy the output code and feed it back to the model (or a larger model like Gemini 3.1 Flash lite/Claude etc,) with this correction prompt:
"Review the generated code above. Identify any rendering or logical errors, and output a corrected, fully functional, and complete single-file version."
π Citation & License
This model is licensed under Apache 2.0.
@misc{situus2026starkweb,
author = {Situus},
title = {STARK-WEB-12B-GGUF: Local GGUF Quantizations for STARK-WEB-12B},
year = {2026},
publisher = {Hugging Face},
journal = {Hugging Face Model Hub}
}
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