Instructions to use Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF",
	filename="Qwen3VL-32B-Instruct-Heretic-v2-q5ks.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": [
				{
					"type": "text",
					"text": "Describe this image in one sentence."
				},
				{
					"type": "image_url",
					"image_url": {
						"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
					}
				}
			]
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF
# Run inference directly in the terminal:
llama-cli -hf Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF
# Run inference directly in the terminal:
llama-cli -hf Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF

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 Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF
# Run inference directly in the terminal:
./llama-cli -hf Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF

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 Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF

Use Docker

docker model run hf.co/Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF

LM Studio
Jan

vLLM

How to use Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-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": "Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF

Ollama
How to use Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF with Ollama:
```
ollama run hf.co/Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF
```

Unsloth Studio

How to use Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-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 Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-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 Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF to start chatting

How to use Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF

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": "Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-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 Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF

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 Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF

Run Hermes

hermes

Docker Model Runner
How to use Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF with Docker Model Runner:
```
docker model run hf.co/Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF
```

Lemonade

How to use Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF

Run and chat with the model

lemonade run user.Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF-{{QUANT_TAG}}

List all available models

lemonade list

I was having trouble with other quants of this model, so I made my own. imatrix Q5K_S.

Overall, a great model which I now use over my previous Phr00tyMixes for creativity and brains. However, the Phr00tyMixes might still be better for erotic roleplay, as many of the Qwen 2.5 finetunes included train with that material.

You can find an mmproj here: https://huggingface.co/n0kovo/Qwen3-VL-32B-Instruct-heretic-v2-Q4_K_M-GGUF/tree/main

Downloads last month: 111

GGUF

Model size

33B params

Architecture

qwen3vl

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

Model tree for Phr00t/Qwen3-VL-32B-Instruct-heretic-v2-iQ5KS-GGUF

Base model

n0kovo/Qwen3-VL-32B-Instruct-heretic-v2

Quantized

(4)

this model