Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

psp-dada
/
LLaVA-v1.5-13B-SENTINEL

Image-Text-to-Text
Transformers
Safetensors
English
llava_llama
text-generation
PEFT
lora
bf16
llava
Model card Files Files and versions
xet
Community
1

Instructions to use psp-dada/LLaVA-v1.5-13B-SENTINEL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use psp-dada/LLaVA-v1.5-13B-SENTINEL with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-text-to-text", model="psp-dada/LLaVA-v1.5-13B-SENTINEL")
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("psp-dada/LLaVA-v1.5-13B-SENTINEL", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use psp-dada/LLaVA-v1.5-13B-SENTINEL with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "psp-dada/LLaVA-v1.5-13B-SENTINEL"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "psp-dada/LLaVA-v1.5-13B-SENTINEL",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/psp-dada/LLaVA-v1.5-13B-SENTINEL
  • SGLang

    How to use psp-dada/LLaVA-v1.5-13B-SENTINEL 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 "psp-dada/LLaVA-v1.5-13B-SENTINEL" \
        --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": "psp-dada/LLaVA-v1.5-13B-SENTINEL",
    		"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 "psp-dada/LLaVA-v1.5-13B-SENTINEL" \
            --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": "psp-dada/LLaVA-v1.5-13B-SENTINEL",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use psp-dada/LLaVA-v1.5-13B-SENTINEL with Docker Model Runner:

    docker model run hf.co/psp-dada/LLaVA-v1.5-13B-SENTINEL
LLaVA-v1.5-13B-SENTINEL
1.06 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 15 commits
psp-dada's picture
psp-dada
Update README.md
3376763 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.06 kB
    Update README.md about 1 month ago
  • adapter_config.json
    730 Bytes
    add file about 1 year ago
  • adapter_model.safetensors
    1 GB
    xet
    add file about 1 year ago
  • config.json
    1.47 kB
    add file about 1 year ago
  • non_lora_trainables.bin

    Detected Pickle imports (3)

    • "torch.BFloat16Storage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    62.9 MB
    xet
    add file about 1 year ago