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16dvnk
/
AaI_mini.plus_exp_251111_Base

Text Generation
Transformers
English
Self
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use 16dvnk/AaI_mini.plus_exp_251111_Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 16dvnk/AaI_mini.plus_exp_251111_Base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="16dvnk/AaI_mini.plus_exp_251111_Base")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("16dvnk/AaI_mini.plus_exp_251111_Base", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use 16dvnk/AaI_mini.plus_exp_251111_Base with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "16dvnk/AaI_mini.plus_exp_251111_Base"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "16dvnk/AaI_mini.plus_exp_251111_Base",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/16dvnk/AaI_mini.plus_exp_251111_Base
  • SGLang

    How to use 16dvnk/AaI_mini.plus_exp_251111_Base with SGLang:

    Install from pip and serve model
    # Install SGLang from pip:
    pip install sglang
    # Start the SGLang server:
    python3 -m sglang.launch_server \
        --model-path "16dvnk/AaI_mini.plus_exp_251111_Base" \
        --host 0.0.0.0 \
        --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "16dvnk/AaI_mini.plus_exp_251111_Base",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker images
    docker run --gpus all \
        --shm-size 32g \
        -p 30000:30000 \
        -v ~/.cache/huggingface:/root/.cache/huggingface \
        --env "HF_TOKEN=<secret>" \
        --ipc=host \
        lmsysorg/sglang:latest \
        python3 -m sglang.launch_server \
            --model-path "16dvnk/AaI_mini.plus_exp_251111_Base" \
            --host 0.0.0.0 \
            --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "16dvnk/AaI_mini.plus_exp_251111_Base",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use 16dvnk/AaI_mini.plus_exp_251111_Base with Docker Model Runner:

    docker model run hf.co/16dvnk/AaI_mini.plus_exp_251111_Base
AaI_mini.plus_exp_251111_Base
55.5 MB
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  • 1 contributor
History: 13 commits
16dvnk's picture
16dvnk
Rename aai_model_test_2_config.json to config.json
7f3e78c verified 5 months ago
  • .gitattributes
    1.65 kB
    Rename aai_model_mini+_exp_251111_base to AaI_mini+_exp_251111_Base 5 months ago
  • AaI_mini+_exp_251111_Base
    55.5 MB
    xet
    Rename aai_model_mini+_exp_251111_base to AaI_mini+_exp_251111_Base 5 months ago
  • README.md
    2.33 kB
    Update README.md 5 months ago
  • config.json
    140 Bytes
    Rename aai_model_test_2_config.json to config.json 5 months ago