Instructions to use Trxon/Qwen3-200MB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Trxon/Qwen3-200MB 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 Trxon/Qwen3-200MB
# Run inference directly in the terminal:
llama cli -hf Trxon/Qwen3-200MB

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Trxon/Qwen3-200MB
# Run inference directly in the terminal:
llama cli -hf Trxon/Qwen3-200MB

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf Trxon/Qwen3-200MB
# Run inference directly in the terminal:
./build/bin/llama cli -hf Trxon/Qwen3-200MB

Use Docker

docker model run hf.co/Trxon/Qwen3-200MB

Llama new
LM Studio
Jan
Ollama
How to use Trxon/Qwen3-200MB with Ollama:
```
ollama run hf.co/Trxon/Qwen3-200MB
```
Unsloth Desktop

How to use Trxon/Qwen3-200MB with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Trxon/Qwen3-200MB

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": "Trxon/Qwen3-200MB"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Trxon/Qwen3-200MB with Docker Model Runner:
```
docker model run hf.co/Trxon/Qwen3-200MB
```

Lemonade

How to use Trxon/Qwen3-200MB with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Trxon/Qwen3-200MB

Run and chat with the model

lemonade run user.Qwen3-200MB-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use Trxon/Qwen3-200MB with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Trxon/Qwen3-200MB

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 Trxon/Qwen3-200MB

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Trxon/Qwen3-200MB with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Trxon/Qwen3-200MB

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 "Trxon/Qwen3-200MB" \
  --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"

Qwen3-200MB

An experimental extreme-quantized version of Qwen3-0.6B.

Base model: Qwen3-0.6B
Format: GGUF
Quantization: Q1_0
Goal: Extremely small local inference.

This is an experimental quantization. Quality and accuracy may be substantially lower than the original model.

Based on Qwen3-0.6B. Refer to its original model card for licensing and attribution.

Downloads last month: 57

GGUF

Model size

0.8B params

Architecture

qwen3

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

Inference Providers NEW

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Model tree for Trxon/Qwen3-200MB

Base model

Qwen/Qwen3-0.6B-Base

Finetuned

Qwen/Qwen3-0.6B

Quantized

(537)

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