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AJCThree
/
Qwen2.5-Coder-32B-Instruct-openvino-4bit

Text Classification
Transformers
OpenVINO
qwen2
text-generation
NNCF
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use AJCThree/Qwen2.5-Coder-32B-Instruct-openvino-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AJCThree/Qwen2.5-Coder-32B-Instruct-openvino-4bit with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="AJCThree/Qwen2.5-Coder-32B-Instruct-openvino-4bit")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("AJCThree/Qwen2.5-Coder-32B-Instruct-openvino-4bit")
    model = AutoModelForCausalLM.from_pretrained("AJCThree/Qwen2.5-Coder-32B-Instruct-openvino-4bit", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen2.5-Coder-32B-Instruct-openvino-4bit
17.8 GB
Ctrl+K
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  • 1 contributor
History: 5 commits
AJCThree's picture
AJCThree
Update README.md
583f427 verified about 1 month ago
  • .gitattributes
    1.57 kB
    Upload quantized OpenVINO model with config about 1 month ago
  • README.md
    158 Bytes
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  • chat_template.jinja
    2.51 kB
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  • config.json
    2.17 kB
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  • generation_config.json
    242 Bytes
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  • openvino_config.json
    464 Bytes
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  • openvino_model.bin
    17.8 GB
    xet
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  • openvino_model.xml
    6.19 MB
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    664 Bytes
    Upload quantized OpenVINO model with config about 1 month ago