Instructions to use novelaide/Qwen3-Reranker-0.6B-Q8_0-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 novelaide/Qwen3-Reranker-0.6B-Q8_0-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 novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF: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 novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF: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 novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF:Q8_0

Use Docker

docker model run hf.co/novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF:Q8_0

LM Studio
Jan
Ollama
How to use novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF with Ollama:
```
ollama run hf.co/novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF:Q8_0
```

Unsloth Studio

How to use novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF to start chatting

How to use novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF:Q8_0

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF:Q8_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

OpenClaw new

How to use novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF: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 "novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF: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"

Docker Model Runner
How to use novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF with Docker Model Runner:
```
docker model run hf.co/novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF:Q8_0
```

Lemonade

How to use novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF:Q8_0

Run and chat with the model

lemonade run user.Qwen3-Reranker-0.6B-Q8_0-GGUF-Q8_0

List all available models

lemonade list

Hermes Agent

How to use novelaide/Qwen3-Reranker-0.6B-Q8_0-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 novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF: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 novelaide/Qwen3-Reranker-0.6B-Q8_0-GGUF:Q8_0

Run Hermes

hermes

Atomic Chat

Qwen3 Reranker 0.6B Q8_0 GGUF

This repository contains the exact immutable local-model asset used by NovelAide. This GGUF is a NovelAide-built derived artifact produced from the official Safetensors checkpoint. It is not an official Qwen GGUF release.

Provenance

Base model: Qwen/Qwen3-Reranker-0.6B
Asset source: Qwen/Qwen3-Reranker-0.6B
Pinned source revision: e61197ed45024b0ed8a2d74b80b4d909f1255473
Runtime: llama-cpp
NovelAide asset ID: qwen3-reranker-0.6b
NovelAide CDN prefix: qwen3-reranker-0.6b-gguf/e137d193dfb7691d

The base model and conversion input are the official Qwen/Qwen3-Reranker-0.6B Safetensors at immutable revision e61197ed45024b0ed8a2d74b80b4d909f1255473.

NovelAide converts that checkpoint to BF16 GGUF and then quantizes it to Q8_0 with ggml-org/llama.cpp tag b9842, commit 6f4f53f2b7da54fcdbbecaaa734337c337ad6176. This is the llama.cpp revision embedded by the Desktop runtime's node-llama-cpp@3.19.0.

The resulting GGUF is a NovelAide-built derived asset, not an upstream Qwen GGUF. Its immutable content-addressed object prefix is qwen3-reranker-0.6b-gguf/e137d193dfb7691d; it must not overwrite the previously published community-derived artifact.

Files

File	Size	SHA-256
`qwen3-reranker-0.6b-q8_0.gguf`	609.54 MiB	`e137d193dfb7691d072ca1418ac66a93cf898a62ac282823470d427f61d93206`

Usage

Use the GGUF files with a compatible llama.cpp runtime and the ONNX files with a compatible ONNX / Transformers.js runtime. NovelAide pins the exact files and checksums shown above; do not substitute similarly named quantizations.

License and attribution

The model asset follows the upstream apache-2.0 license. Review the linked base model and asset source model cards for their complete terms, limitations, and attribution requirements. NovelAide is not affiliated with or endorsed by the upstream model authors.

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GGUF

Model size

0.6B params

Architecture

qwen3

Hardware compatibility

8-bit

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