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MrOvkill
/
obsidian-3b-v0.5-inference-endpoint

Text Generation
Transformers
PyTorch
English
llava_stablelm_epoch
Multimodal
StableLM
Model card Files Files and versions
xet
Community

Instructions to use MrOvkill/obsidian-3b-v0.5-inference-endpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MrOvkill/obsidian-3b-v0.5-inference-endpoint with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="MrOvkill/obsidian-3b-v0.5-inference-endpoint")
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("MrOvkill/obsidian-3b-v0.5-inference-endpoint", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use MrOvkill/obsidian-3b-v0.5-inference-endpoint with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "MrOvkill/obsidian-3b-v0.5-inference-endpoint"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "MrOvkill/obsidian-3b-v0.5-inference-endpoint",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/MrOvkill/obsidian-3b-v0.5-inference-endpoint
  • SGLang

    How to use MrOvkill/obsidian-3b-v0.5-inference-endpoint 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 "MrOvkill/obsidian-3b-v0.5-inference-endpoint" \
        --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": "MrOvkill/obsidian-3b-v0.5-inference-endpoint",
    		"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 "MrOvkill/obsidian-3b-v0.5-inference-endpoint" \
            --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": "MrOvkill/obsidian-3b-v0.5-inference-endpoint",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use MrOvkill/obsidian-3b-v0.5-inference-endpoint with Docker Model Runner:

    docker model run hf.co/MrOvkill/obsidian-3b-v0.5-inference-endpoint
obsidian-3b-v0.5-inference-endpoint
6.24 GB
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  • 1 contributor
History: 5 commits
MrOvkill's picture
MrOvkill
It might work better if I include the model too DUHHH
734c917 over 2 years ago
  • README.md
    2.13 kB
    It might work better if I include the model too DUHHH over 2 years ago
  • config.json
    1.12 kB
    It might work better if I include the model too DUHHH over 2 years ago
  • generation_config.json
    111 Bytes
    It might work better if I include the model too DUHHH over 2 years ago
  • handler.py
    1.97 kB
    Update handler over 2 years ago
  • mm_projector.bin
    18.4 MB
    xet
    It might work better if I include the model too DUHHH over 2 years ago
  • pytorch_model.bin
    6.22 GB
    xet
    It might work better if I include the model too DUHHH over 2 years ago
  • special_tokens_map.json
    470 Bytes
    It might work better if I include the model too DUHHH over 2 years ago
  • tokenizer.json
    2.11 MB
    It might work better if I include the model too DUHHH over 2 years ago
  • tokenizer_config.json
    5.32 kB
    It might work better if I include the model too DUHHH over 2 years ago
  • trainer_state.json
    513 kB
    It might work better if I include the model too DUHHH over 2 years ago
  • training_args.bin
    7.22 kB
    xet
    It might work better if I include the model too DUHHH over 2 years ago