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AoiKazama
/
Kinoe-7B

Text Generation
Transformers
PyTorch
Safetensors
kinoe
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use AoiKazama/Kinoe-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AoiKazama/Kinoe-7B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="AoiKazama/Kinoe-7B", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("AoiKazama/Kinoe-7B", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use AoiKazama/Kinoe-7B with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "AoiKazama/Kinoe-7B"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "AoiKazama/Kinoe-7B",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/AoiKazama/Kinoe-7B
  • SGLang

    How to use AoiKazama/Kinoe-7B 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 "AoiKazama/Kinoe-7B" \
        --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": "AoiKazama/Kinoe-7B",
    		"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 "AoiKazama/Kinoe-7B" \
            --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": "AoiKazama/Kinoe-7B",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use AoiKazama/Kinoe-7B with Docker Model Runner:

    docker model run hf.co/AoiKazama/Kinoe-7B
Kinoe-7B
28.6 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 25 commits
AoiKazama's picture
AoiKazama
Update README.md
03bc84c verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    29 Bytes
    Update README.md about 2 years ago
  • cache_utils.py
    43.1 kB
    Update cache_utils.py about 2 years ago
  • config.json
    955 Bytes
    Fix about 2 years ago
  • configuration_kinoe.py
    6.85 kB
    Update configuration_kinoe.py about 2 years ago
  • deepspeed_to_transformers_kinoe.py
    15.9 kB
    Upload Kinoe-7B about 2 years ago
  • generation_config.json
    105 Bytes
    Add Tokenizer about 2 years ago
  • import_utils.py
    54.3 kB
    Upload import_utils.py about 2 years ago
  • model.safetensors
    14.3 GB
    xet
    Adding `safetensors` variant of this model (#1) about 2 years ago
  • modeling_attn_mask_utils.py
    22.4 kB
    Upload modeling_attn_mask_utils.py about 2 years ago
  • modeling_kinoe.py
    70.3 kB
    FIX about 2 years ago
  • pytorch_model.bin
    14.3 GB
    xet
    Upload Kinoe-7B about 2 years ago
  • special_tokens_map.json
    414 Bytes
    Add Tokenizer about 2 years ago
  • tokenizer.json
    3.58 MB
    Add Tokenizer about 2 years ago
  • tokenizer.model
    944 kB
    xet
    Add Tokenizer about 2 years ago
  • tokenizer_config.json
    960 Bytes
    Add Tokenizer about 2 years ago