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yhytoto12
/
BeDLM-1B

Text Generation
Transformers
Safetensors
English
llama
LLM
Spoken Dialogue Generation
Conversational Behavior
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use yhytoto12/BeDLM-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yhytoto12/BeDLM-1B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="yhytoto12/BeDLM-1B")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("yhytoto12/BeDLM-1B")
    model = AutoModelForCausalLM.from_pretrained("yhytoto12/BeDLM-1B", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use yhytoto12/BeDLM-1B with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "yhytoto12/BeDLM-1B"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "yhytoto12/BeDLM-1B",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/yhytoto12/BeDLM-1B
  • SGLang

    How to use yhytoto12/BeDLM-1B 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 "yhytoto12/BeDLM-1B" \
        --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": "yhytoto12/BeDLM-1B",
    		"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 "yhytoto12/BeDLM-1B" \
            --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": "yhytoto12/BeDLM-1B",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use yhytoto12/BeDLM-1B with Docker Model Runner:

    docker model run hf.co/yhytoto12/BeDLM-1B
BeDLM-1B
4.96 GB
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  • 1 contributor
History: 4 commits
yhytoto12's picture
yhytoto12
Update README.md
09e8b1f verified 11 months ago
  • .gitattributes
    1.57 kB
    Upload tokenizer 11 months ago
  • README.md
    4.83 kB
    Update README.md 11 months ago
  • config.json
    864 Bytes
    Upload LlamaForCausalLM 11 months ago
  • generation_config.json
    180 Bytes
    Upload LlamaForCausalLM 11 months ago
  • model.safetensors
    4.95 GB
    xet
    Upload LlamaForCausalLM 11 months ago
  • special_tokens_map.json
    541 Bytes
    Upload tokenizer 11 months ago
  • tokenizer.json
    17.3 MB
    xet
    Upload tokenizer 11 months ago
  • tokenizer_config.json
    139 kB
    Upload tokenizer 11 months ago