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HenrySentinel
/
tinyMind

Text Generation
Transformers
PyTorch
Safetensors
English
tiny_smart_llm
gpt
language-model
conversational
custom_code
Model card Files Files and versions
xet
Community

Instructions to use HenrySentinel/tinyMind with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use HenrySentinel/tinyMind with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="HenrySentinel/tinyMind", trust_remote_code=True)
    messages = [
        {"role": "user", "content": "Who are you?"},
    ]
    pipe(messages)
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("HenrySentinel/tinyMind", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use HenrySentinel/tinyMind with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "HenrySentinel/tinyMind"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "HenrySentinel/tinyMind",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/HenrySentinel/tinyMind
  • SGLang

    How to use HenrySentinel/tinyMind 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 "HenrySentinel/tinyMind" \
        --host 0.0.0.0 \
        --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "HenrySentinel/tinyMind",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    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 "HenrySentinel/tinyMind" \
            --host 0.0.0.0 \
            --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "HenrySentinel/tinyMind",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
  • Docker Model Runner

    How to use HenrySentinel/tinyMind with Docker Model Runner:

    docker model run hf.co/HenrySentinel/tinyMind
tinyMind
153 MB
Ctrl+K
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  • 1 contributor
History: 13 commits
HenrySentinel's picture
HenrySentinel
Update tokenizer with chat template and pad token
22c34d9 verified 14 days ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    1.65 kB
    Upload README.md with huggingface_hub 10 months ago
  • config.json
    591 Bytes
    Update config with auto_map for trust_remote_code loading 14 days ago
  • configuration_tinymind.py
    671 Bytes
    Add configuration class 14 days ago
  • merges.txt
    456 kB
    Upload merges.txt with huggingface_hub 10 months ago
  • model.safetensors
    70.9 MB
    xet
    Add safetensors format 14 days ago
  • modeling_tinymind.py
    4.98 kB
    Add modeling class with HF generate() support 14 days ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    77.2 MB
    xet
    Upload pytorch_model.bin with huggingface_hub 10 months ago
  • tokenizer.json
    3.56 MB
    Upload tokenizer.json with huggingface_hub 10 months ago
  • tokenizer_config.json
    675 Bytes
    Update tokenizer with chat template and pad token 14 days ago
  • vocab.json
    798 kB
    Upload vocab.json with huggingface_hub 10 months ago