Instructions to use vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-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 vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-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 vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF
# Run inference directly in the terminal:
llama cli -hf vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF
# Run inference directly in the terminal:
llama cli -hf vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-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 vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF
# Run inference directly in the terminal:
./llama-cli -hf vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-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 vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF
# Run inference directly in the terminal:
./build/bin/llama-cli -hf vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF

Use Docker

docker model run hf.co/vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF

LM Studio
Jan

vLLM

How to use vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-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": "vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF

Ollama
How to use vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF with Ollama:
```
ollama run hf.co/vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF
```
Unsloth Desktop

How to use vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF

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": "vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF with Docker Model Runner:
```
docker model run hf.co/vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF
```

Lemonade

How to use vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF

Run and chat with the model

lemonade run user.Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-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 vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-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 vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF

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 "vmlinux/Qwen3.5-122B-A10B-Heretic-ROCmFP4-iMatrix-GGUF" \
  --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"

Nice Build

by jcbtc - opened Jul 16

Discussion

jcbtc

Jul 16

Awesome to see people making rocmfpx builds!

vmlinux

Owner Jul 16

Thank you! I'm pushing up the non heretic version now, then I'm going to work on GLM 4.5 Air, one of my favorite wordsmith models for the strix halo.

vmlinux

Owner Jul 26

•

edited Jul 26

I just found out that this template is much better by the way for qwen. https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates

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