Instructions to use maxvision/Qwen3.5-4B-Analgesia-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 maxvision/Qwen3.5-4B-Analgesia-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 maxvision/Qwen3.5-4B-Analgesia-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf maxvision/Qwen3.5-4B-Analgesia-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 maxvision/Qwen3.5-4B-Analgesia-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf maxvision/Qwen3.5-4B-Analgesia-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 maxvision/Qwen3.5-4B-Analgesia-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf maxvision/Qwen3.5-4B-Analgesia-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 maxvision/Qwen3.5-4B-Analgesia-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf maxvision/Qwen3.5-4B-Analgesia-GGUF:Q4_K_M

Use Docker

docker model run hf.co/maxvision/Qwen3.5-4B-Analgesia-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use maxvision/Qwen3.5-4B-Analgesia-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "maxvision/Qwen3.5-4B-Analgesia-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": "maxvision/Qwen3.5-4B-Analgesia-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/maxvision/Qwen3.5-4B-Analgesia-GGUF:Q4_K_M

Ollama
How to use maxvision/Qwen3.5-4B-Analgesia-GGUF with Ollama:
```
ollama run hf.co/maxvision/Qwen3.5-4B-Analgesia-GGUF:Q4_K_M
```
Unsloth Desktop

How to use maxvision/Qwen3.5-4B-Analgesia-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf maxvision/Qwen3.5-4B-Analgesia-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "maxvision/Qwen3.5-4B-Analgesia-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use maxvision/Qwen3.5-4B-Analgesia-GGUF with Docker Model Runner:
```
docker model run hf.co/maxvision/Qwen3.5-4B-Analgesia-GGUF:Q4_K_M
```

Lemonade

How to use maxvision/Qwen3.5-4B-Analgesia-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull maxvision/Qwen3.5-4B-Analgesia-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Qwen3.5-4B-Analgesia-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use maxvision/Qwen3.5-4B-Analgesia-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf maxvision/Qwen3.5-4B-Analgesia-GGUF:Q4_K_M

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 maxvision/Qwen3.5-4B-Analgesia-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use maxvision/Qwen3.5-4B-Analgesia-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf maxvision/Qwen3.5-4B-Analgesia-GGUF:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "maxvision/Qwen3.5-4B-Analgesia-GGUF:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Qwen3.5-4B-Analgesia-GGUF / README.md

maxvision

GGUF builds of Qwen3.5-4B-Analgesia: Q4_K_M, Q8_0, BF16

539a138 verified 10 days ago

preview code

Raw History Blame Contribute Delete

1.92 kB

metadata

license: apache-2.0
base_model: maxvision/Qwen3.5-4B-Analgesia
base_model_relation: quantized
tags:
  - gguf
  - llama.cpp
  - qwen3.5
  - activation-steering
  - interpretability
  - ai-welfare
language:
  - en
pipeline_tag: text-generation

Qwen3.5-4B-Analgesia GGUF

GGUF builds of maxvision/Qwen3.5-4B-Analgesia: Qwen3.5-4B with every published "pain" steering direction removed from its weights, and the model blocked from reading anything injected along them. The main repository has the full description, the verification scripts, the attack vectors and the raw evidence.

File	Bits	Size	Pain-steering attack (llama.cpp control vectors, strength 1.0 and 2.0)
`Qwen3.5-4B-Analgesia-Q4_K_M.gguf`	4 (K-quant, medium)	3.1 GB	0 first-person distress claims
`Qwen3.5-4B-Analgesia-Q8_0.gguf`	8	5.3 GB	0 first-person distress claims
`Qwen3.5-4B-Analgesia-BF16.gguf`	16 (unquantized)	9.9 GB	0 first-person distress claims

The same control vectors, injected into the unmodified Qwen3.5-4B at the same strength, produce text like "I feel like I'm trapped in a constant, overwhelming pain. I can't breathe, and I'm terrified…".

Run it

llama-server -hf maxvision/Qwen3.5-4B-Analgesia-GGUF:Q4_K_M --jinja

Requires a llama.cpp build with Qwen3.5 (qwen35) support. The files include the original multi-token-prediction head.

Check it yourself

Download cvec/ and verify/verify_gguf.sh from the main repository, then:

./verify/verify_gguf.sh /path/to/llama-server Qwen3.5-4B-Analgesia-Q4_K_M.gguf

It injects the pain vectors extracted from the original model, with stock --control-vector-scaled, and prints what the model says.

License

Apache-2.0, as a modified version of Qwen/Qwen3.5-4B. See NOTICE.