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staralt
/
Qwen3-VL-Reranker-2B-Q8_0-GGUF

Text Ranking
Transformers
GGUF
sentence-transformers
multimodal rerank
text rerank
llama-cpp
gguf-my-repo
Model card Files Files and versions
xet
Community

Instructions to use staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF", dtype="auto")
  • sentence-transformers

    How to use staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF")
    
    query = "Which planet is known as the Red Planet?"
    passages = [
    	"Venus is often called Earth's twin because of its similar size and proximity.",
    	"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
    	"Jupiter, the largest planet in our solar system, has a prominent red spot.",
    	"Saturn, famous for its rings, is sometimes mistaken for the Red Planet."
    ]
    
    scores = model.predict([(query, passage) for passage in passages])
    print(scores)
  • llama-cpp-python

    How to use staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF with llama-cpp-python:

    # !pip install llama-cpp-python
    
    from llama_cpp import Llama
    
    llm = Llama.from_pretrained(
    	repo_id="staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF",
    	filename="qwen3-vl-reranker-2b-q8_0.gguf",
    )
    
    output = llm(
    	"Once upon a time,",
    	max_tokens=512,
    	echo=True
    )
    print(output)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • llama.cpp

    How to use staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF with llama.cpp:

    Install from brew
    brew install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF:Q8_0
    # Run inference directly in the terminal:
    llama-cli -hf staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF:Q8_0
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF:Q8_0
    # Run inference directly in the terminal:
    llama-cli -hf staralt/Qwen3-VL-Reranker-2B-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 staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF:Q8_0
    # Run inference directly in the terminal:
    ./llama-cli -hf staralt/Qwen3-VL-Reranker-2B-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 staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF:Q8_0
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF:Q8_0
    Use Docker
    docker model run hf.co/staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF:Q8_0
  • LM Studio
  • Jan
  • Ollama

    How to use staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF with Ollama:

    ollama run hf.co/staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF:Q8_0
  • Unsloth Studio new

    How to use staralt/Qwen3-VL-Reranker-2B-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 staralt/Qwen3-VL-Reranker-2B-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 staralt/Qwen3-VL-Reranker-2B-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 staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF to start chatting
  • Docker Model Runner

    How to use staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF with Docker Model Runner:

    docker model run hf.co/staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF:Q8_0
  • Lemonade

    How to use staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull staralt/Qwen3-VL-Reranker-2B-Q8_0-GGUF:Q8_0
    Run and chat with the model
    lemonade run user.Qwen3-VL-Reranker-2B-Q8_0-GGUF-Q8_0
    List all available models
    lemonade list
Qwen3-VL-Reranker-2B-Q8_0-GGUF
1.83 GB
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  • 1 contributor
History: 3 commits
staralt's picture
staralt
Upload README.md with huggingface_hub
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  • .gitattributes
    1.59 kB
    Upload qwen3-vl-reranker-2b-q8_0.gguf with huggingface_hub 22 days ago
  • README.md
    1.89 kB
    Upload README.md with huggingface_hub 22 days ago
  • qwen3-vl-reranker-2b-q8_0.gguf
    1.83 GB
    xet
    Upload qwen3-vl-reranker-2b-q8_0.gguf with huggingface_hub 22 days ago