Instructions to use Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4 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 Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4
# Run inference directly in the terminal:
llama cli -hf Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4
# Run inference directly in the terminal:
llama cli -hf Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4

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 Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4
# Run inference directly in the terminal:
./llama-cli -hf Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4

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 Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4

Use Docker

docker model run hf.co/Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4

LM Studio
Jan

vLLM

How to use Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4

Ollama
How to use Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4 with Ollama:
```
ollama run hf.co/Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4
```
Unsloth Desktop

How to use Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4

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": "Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4 with Docker Model Runner:
```
docker model run hf.co/Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4
```

Lemonade

How to use Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4

Run and chat with the model

lemonade run user.Qwen3.6-35B-A3B-abliterated-ROCmFP4-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4

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 Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4 with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4

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 "Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4" \
  --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"

Qwen3.6-35B-A3B Abliterated (ROCmFP4)

This is an abliterated (uncensored) Qwen 3.6 35B MoE model converted to GGUF and quantized to ROCmFP4 (Q4_0_ROCMFP4_FAST_COHERENT) using the ROCmFPX toolchain.

Optimized for AMD Radeon GPUs (e.g., RX 9060 XT 16GB / RX 7900 XT 20GB) via Vulkan or ROCm backends with Multi-Token Prediction (MTP) speculative decoding enabled.

How to Run with `llama-server`

llama-server.exe -m qwen3.6-35b-v2-ROCMFP4.gguf --spec-type draft-mtp -c 32768 --port 8080

Downloads last month: 340

GGUF

Model size

35B params

Architecture

qwen35moe

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

Model tree for Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4

Base model

Qwen/Qwen3.6-35B-A3B

Finetuned

wangzhang/Qwen3.6-35B-A3B-abliterated-v2

Quantized

(11)

this model

Qwen3.6-35B-A3B Abliterated (ROCmFP4)

How to Run with llama-server

Model tree for Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4

How to Run with `llama-server`