- Libraries
- llama-cpp-python
How to use ericflo/qwen3-0.6b-summarizer with llama-cpp-python:
# !pip install llama-cpp-python
from llama_cpp import Llama
llm = Llama.from_pretrained(
repo_id="ericflo/qwen3-0.6b-summarizer",
filename="qwen3-0.6b-summarizer-f16.gguf",
)
llm.create_chat_completion(
messages = "\"The tower is 324 metres (1,063 ft) tall, about the same height as an 81-storey building, and the tallest structure in Paris. Its base is square, measuring 125 metres (410 ft) on each side. During its construction, the Eiffel Tower surpassed the Washington Monument to become the tallest man-made structure in the world, a title it held for 41 years until the Chrysler Building in New York City was finished in 1930. It was the first structure to reach a height of 300 metres. Due to the addition of a broadcasting aerial at the top of the tower in 1957, it is now taller than the Chrysler Building by 5.2 metres (17 ft). Excluding transmitters, the Eiffel Tower is the second tallest free-standing structure in France after the Millau Viaduct.\""
)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use ericflo/qwen3-0.6b-summarizer 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 ericflo/qwen3-0.6b-summarizer:F16
# Run inference directly in the terminal:
llama cli -hf ericflo/qwen3-0.6b-summarizer:F16
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ericflo/qwen3-0.6b-summarizer:F16
# Run inference directly in the terminal:
llama cli -hf ericflo/qwen3-0.6b-summarizer:F16
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 ericflo/qwen3-0.6b-summarizer:F16
# Run inference directly in the terminal:
./llama-cli -hf ericflo/qwen3-0.6b-summarizer:F16
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 ericflo/qwen3-0.6b-summarizer:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ericflo/qwen3-0.6b-summarizer:F16
Use Docker
docker model run hf.co/ericflo/qwen3-0.6b-summarizer:F16
- LM Studio
- Jan
- Ollama
How to use ericflo/qwen3-0.6b-summarizer with Ollama:
ollama run hf.co/ericflo/qwen3-0.6b-summarizer:F16
- Unsloth Desktop
- Pi
How to use ericflo/qwen3-0.6b-summarizer with Pi:
Start the llama.cpp server
# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ericflo/qwen3-0.6b-summarizer:F16
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": "ericflo/qwen3-0.6b-summarizer:F16"
}
]
}
}
}Run Pi
# Start Pi in your project directory:
pi
- Docker Model Runner
How to use ericflo/qwen3-0.6b-summarizer with Docker Model Runner:
docker model run hf.co/ericflo/qwen3-0.6b-summarizer:F16
- Lemonade
How to use ericflo/qwen3-0.6b-summarizer with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/
lemonade pull ericflo/qwen3-0.6b-summarizer:F16
Run and chat with the model
lemonade run user.qwen3-0.6b-summarizer-F16
List all available models
lemonade list
- Hermes Agent
How to use ericflo/qwen3-0.6b-summarizer with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ericflo/qwen3-0.6b-summarizer:F16
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 ericflo/qwen3-0.6b-summarizer:F16
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use ericflo/qwen3-0.6b-summarizer with OpenClaw:
Start the llama.cpp server
# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ericflo/qwen3-0.6b-summarizer:F16
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 "ericflo/qwen3-0.6b-summarizer:F16" \
--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"
