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Spiral-AI
/
Spiral-RetNet-3b-base

Text Generation
Transformers
Safetensors
Japanese
English
retnet
Model card Files Files and versions
xet
Community

Instructions to use Spiral-AI/Spiral-RetNet-3b-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Spiral-AI/Spiral-RetNet-3b-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="Spiral-AI/Spiral-RetNet-3b-base")
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("Spiral-AI/Spiral-RetNet-3b-base", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use Spiral-AI/Spiral-RetNet-3b-base with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "Spiral-AI/Spiral-RetNet-3b-base"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Spiral-AI/Spiral-RetNet-3b-base",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/Spiral-AI/Spiral-RetNet-3b-base
  • SGLang

    How to use Spiral-AI/Spiral-RetNet-3b-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 "Spiral-AI/Spiral-RetNet-3b-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": "Spiral-AI/Spiral-RetNet-3b-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 "Spiral-AI/Spiral-RetNet-3b-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": "Spiral-AI/Spiral-RetNet-3b-base",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use Spiral-AI/Spiral-RetNet-3b-base with Docker Model Runner:

    docker model run hf.co/Spiral-AI/Spiral-RetNet-3b-base
Spiral-RetNet-3b-base
11.4 GB
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  • 1 contributor
History: 10 commits
ksterx's picture
ksterx
Update README.md
9cae16e verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    4.75 kB
    Update README.md about 2 years ago
  • config.json
    943 Bytes
    Upload RetNetForCausalLM about 2 years ago
  • generation_config.json
    111 Bytes
    Upload RetNetForCausalLM about 2 years ago
  • logo.jpg
    121 kB
    Upload logo.jpg about 2 years ago
  • logo.png
    25.6 kB
    Upload 2 files about 2 years ago
  • loss_comparison.png
    108 kB
    Upload 3 files about 2 years ago
  • model-00001-of-00003.safetensors
    4.99 GB
    xet
    Upload RetNetForCausalLM about 2 years ago
  • model-00002-of-00003.safetensors
    4.96 GB
    xet
    Upload RetNetForCausalLM about 2 years ago
  • model-00003-of-00003.safetensors
    1.47 GB
    xet
    Upload RetNetForCausalLM about 2 years ago
  • model.safetensors.index.json
    26.3 kB
    Upload RetNetForCausalLM about 2 years ago
  • retention.gif
    82.1 kB
    Upload 3 files about 2 years ago
  • special_tokens_map.json
    585 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    3.27 MB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    674 Bytes
    Upload tokenizer about 2 years ago