Instructions to use Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2 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 Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2:Q8_0
# Run inference directly in the terminal:
llama cli -hf Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2:Q8_0
# Run inference directly in the terminal:
llama cli -hf Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2:Q8_0

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 Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2:Q8_0

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 Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2:Q8_0

Use Docker

docker model run hf.co/Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2:Q8_0

LM Studio
Jan

vLLM

How to use Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2",
		"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/Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2:Q8_0

Ollama
How to use Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2 with Ollama:
```
ollama run hf.co/Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2:Q8_0
```
Unsloth Desktop

How to use Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2:Q8_0

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": "Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2:Q8_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2 with Docker Model Runner:
```
docker model run hf.co/Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2:Q8_0
```

Lemonade

How to use Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2:Q8_0

Run and chat with the model

lemonade run user.Qwable-Claude-Fable-5-Distilled-NPU2-Q8_0

List all available models

lemonade list

Hermes Agent

How to use Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2:Q8_0

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 Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2:Q8_0

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2 with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2:Q8_0

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 "Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2:Q8_0" \
  --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"

Qwable-Claude-Fable-5-Distilled-NPU2

FastFlowLM Q4NX conversion of empero-ai/Qwable-9B-Claude-Fable-5 for AMD XDNA NPU inference.

This repository contains a quantized Q4NX port of the model, compiled for the FastFlowLM (FLM) runtime. It is not a GGUF file.

Item	Value
Source model	`empero-ai/Qwable-9B-Claude-Fable-5`
Weights	`model.q4nx` (7.11 GB)
Modality	language / vision
FLM version	`1.0.1`
Converted	2026-08-27

Install and run

This repository works with flm-add, a small installer that copies the model into the FastFlowLM user directory and registers the tag. It never modifies the system FastFlowLM install.

pip install flm-add or uv tool install flm-add

uv tool install flm-add
flm-add Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2 --family qwen3.5 --tag qwable-claude-fable-5-distilled:9b
FLM_CONFIG_PATH="$HOME/.config/flm/model_list.json" FLM_XCLBIN_PATH="$HOME/.config/flm" flm run qwable-claude-fable-5-distilled:9b

Files

File	Description
`model.q4nx`	Quantized weights (Q8_0 / Q4_1 / BF16)
`config.json`	FLM runtime configuration
`tokenizer.json`	Tokenizer vocabulary
`tokenizer_config.json`	Tokenizer configuration
`chat_template.jinja`	Chat template
`vision_weight.q4nx`	Vision model

Source model card

See the original model card: empero-ai/Qwable-9B-Claude-Fable-5 on Hugging Face

Downloads last month: 368

GGUF

Model size

9B params

Architecture

qwen35

Hardware compatibility

8-bit

Model tree for Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2

Base model

Qwen/Qwen3.5-9B-Base

Finetuned

Qwen/Qwen3.5-9B

Finetuned

empero-ai/Qwable-9B-Claude-Fable-5

Quantized

(16)

this model

Atomic-Germ
/

Qwable-Claude-Fable-5-Distilled-NPU2

Qwable-Claude-Fable-5-Distilled-NPU2

Install and run

Files

Source model card

Model tree for Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2

Dataset used to train Atomic-Germ/Qwable-Claude-Fable-5-Distilled-NPU2