Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

gradientai
/
v-alpha-tross

Text Generation
Transformers
Safetensors
English
llama
Generated from Trainer
finance
Eval Results (legacy)
text-generation-inference
Model card Files Files and versions
xet
Community
6

Instructions to use gradientai/v-alpha-tross with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gradientai/v-alpha-tross with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="gradientai/v-alpha-tross")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("gradientai/v-alpha-tross")
    model = AutoModelForCausalLM.from_pretrained("gradientai/v-alpha-tross")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use gradientai/v-alpha-tross with vLLM:

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

    How to use gradientai/v-alpha-tross 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 "gradientai/v-alpha-tross" \
        --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": "gradientai/v-alpha-tross",
    		"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 "gradientai/v-alpha-tross" \
            --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": "gradientai/v-alpha-tross",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use gradientai/v-alpha-tross with Docker Model Runner:

    docker model run hf.co/gradientai/v-alpha-tross
v-alpha-tross / compiled
125 MB
Ctrl+K
Ctrl+K
  • 5 contributors
History: 1 commit
michaelfeil's picture
michaelfeil
neuron-compat (#3)
d91ea5b verified over 2 years ago
  • 07e81780f1f3b41be3be.neff
    28.1 MB
    xet
    neuron-compat (#3) over 2 years ago
  • 50c6c9c590fa37619217.neff
    9.2 MB
    xet
    neuron-compat (#3) over 2 years ago
  • 612039576e9922be4969.neff
    18.5 MB
    xet
    neuron-compat (#3) over 2 years ago
  • 6b87198446cf8a6c3785.neff
    10.7 MB
    xet
    neuron-compat (#3) over 2 years ago
  • 9c9facd983f791474b66.neff
    11.9 MB
    xet
    neuron-compat (#3) over 2 years ago
  • a7bcc3bcef64cf5e8cbf.neff
    8.87 MB
    xet
    neuron-compat (#3) over 2 years ago
  • bb37eb2e0dda9cd9887a.neff
    9.05 MB
    xet
    neuron-compat (#3) over 2 years ago
  • ca83394ea68c7c5e7c2a.neff
    9.45 MB
    xet
    neuron-compat (#3) over 2 years ago
  • e9298c6632f781cbd83c.neff
    10.1 MB
    xet
    neuron-compat (#3) over 2 years ago
  • f7dbe617622ce110aecd.neff
    9.01 MB
    xet
    neuron-compat (#3) over 2 years ago