Instructions to use Ashwin999/qwen3-4b-html-spatial-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Ashwin999/qwen3-4b-html-spatial-gguf 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 Ashwin999/qwen3-4b-html-spatial-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Ashwin999/qwen3-4b-html-spatial-gguf:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Ashwin999/qwen3-4b-html-spatial-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Ashwin999/qwen3-4b-html-spatial-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 Ashwin999/qwen3-4b-html-spatial-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Ashwin999/qwen3-4b-html-spatial-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 Ashwin999/qwen3-4b-html-spatial-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Ashwin999/qwen3-4b-html-spatial-gguf:Q4_K_M

Use Docker

docker model run hf.co/Ashwin999/qwen3-4b-html-spatial-gguf:Q4_K_M

LM Studio
Jan

vLLM

How to use Ashwin999/qwen3-4b-html-spatial-gguf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Ashwin999/qwen3-4b-html-spatial-gguf"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Ashwin999/qwen3-4b-html-spatial-gguf",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Ashwin999/qwen3-4b-html-spatial-gguf:Q4_K_M

Ollama
How to use Ashwin999/qwen3-4b-html-spatial-gguf with Ollama:
```
ollama run hf.co/Ashwin999/qwen3-4b-html-spatial-gguf:Q4_K_M
```

Unsloth Studio

How to use Ashwin999/qwen3-4b-html-spatial-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 Ashwin999/qwen3-4b-html-spatial-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 Ashwin999/qwen3-4b-html-spatial-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Ashwin999/qwen3-4b-html-spatial-gguf to start chatting

Docker Model Runner
How to use Ashwin999/qwen3-4b-html-spatial-gguf with Docker Model Runner:
```
docker model run hf.co/Ashwin999/qwen3-4b-html-spatial-gguf:Q4_K_M
```

Lemonade

How to use Ashwin999/qwen3-4b-html-spatial-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Ashwin999/qwen3-4b-html-spatial-gguf:Q4_K_M

Run and chat with the model

lemonade run user.qwen3-4b-html-spatial-gguf-Q4_K_M

List all available models

lemonade list

Atomic Chat

qwen3-4b-html-spatial-gguf

GGUF version of Qwen3-4B fine-tuned for generating 3D HTML visualizations.

Files

*.gguf: GGUF model file for use with llama.cpp or Ollama

Usage with Ollama

# Create model
ollama create qwen3-html-spatial -f Modelfile

# Run
ollama run qwen3-html-spatial

System Prompt

You are an expert in generating 3D HTML visualizations using Three.js. Given a user prompt describing a 3D scene or spatial concept, generate clean, functional HTML code with embedded JavaScript and CSS. Always use Three.js r128 from cdnjs and include all necessary script imports for GLTFLoader, OrbitControls, and other addons when needed.

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GGUF

Model size

0 params

Architecture

llama

Hardware compatibility

4-bit

8-bit

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