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imbenwolf
/
Qwen3-VL-Reranker-2B-Q4_K_M-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 imbenwolf/Qwen3-VL-Reranker-2B-Q4_K_M-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use imbenwolf/Qwen3-VL-Reranker-2B-Q4_K_M-GGUF with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("imbenwolf/Qwen3-VL-Reranker-2B-Q4_K_M-GGUF", device_map="auto")
  • sentence-transformers

    How to use imbenwolf/Qwen3-VL-Reranker-2B-Q4_K_M-GGUF with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("imbenwolf/Qwen3-VL-Reranker-2B-Q4_K_M-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)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use imbenwolf/Qwen3-VL-Reranker-2B-Q4_K_M-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 imbenwolf/Qwen3-VL-Reranker-2B-Q4_K_M-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf imbenwolf/Qwen3-VL-Reranker-2B-Q4_K_M-GGUF:Q4_K_M
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf imbenwolf/Qwen3-VL-Reranker-2B-Q4_K_M-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf imbenwolf/Qwen3-VL-Reranker-2B-Q4_K_M-GGUF:Q4_K_M
    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 imbenwolf/Qwen3-VL-Reranker-2B-Q4_K_M-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama cli -hf imbenwolf/Qwen3-VL-Reranker-2B-Q4_K_M-GGUF:Q4_K_M
    Use Docker
    docker model run hf.co/imbenwolf/Qwen3-VL-Reranker-2B-Q4_K_M-GGUF:Q4_K_M
  • Llama new
  • LM Studio
  • Jan
  • Ollama

    How to use imbenwolf/Qwen3-VL-Reranker-2B-Q4_K_M-GGUF with Ollama:

    ollama run hf.co/imbenwolf/Qwen3-VL-Reranker-2B-Q4_K_M-GGUF:Q4_K_M
  • Unsloth Desktop
  • Docker Model Runner

    How to use imbenwolf/Qwen3-VL-Reranker-2B-Q4_K_M-GGUF with Docker Model Runner:

    docker model run hf.co/imbenwolf/Qwen3-VL-Reranker-2B-Q4_K_M-GGUF:Q4_K_M
  • Lemonade

    How to use imbenwolf/Qwen3-VL-Reranker-2B-Q4_K_M-GGUF with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull imbenwolf/Qwen3-VL-Reranker-2B-Q4_K_M-GGUF:Q4_K_M
    Run and chat with the model
    lemonade run user.Qwen3-VL-Reranker-2B-Q4_K_M-GGUF-Q4_K_M
    List all available models
    lemonade list
  • Atomic Chat
Qwen3-VL-Reranker-2B-Q4_K_M-GGUF
1.11 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
imbenwolf's picture
imbenwolf
Upload README.md with huggingface_hub
3e16dbe verified 6 months ago
  • .gitattributes
    1.59 kB
    Upload qwen3-vl-reranker-2b-q4_k_m.gguf with huggingface_hub 6 months ago
  • README.md
    1.92 kB
    Upload README.md with huggingface_hub 6 months ago
  • qwen3-vl-reranker-2b-q4_k_m.gguf
    1.11 GB
    xet
    Upload qwen3-vl-reranker-2b-q4_k_m.gguf with huggingface_hub 6 months ago